Information processing method, apparatus, system, device, and program product

Abstract

The application provides an information processing method, device, system, equipment and program product. The method comprises: in response to determining that a backlight scene exists for a target object on a current navigation route, determining backlight prediction information according to a current position of the target object and a backlight section corresponding to the backlight scene; the backlight prediction information is updated based on a change in the position of the target object during travel; generating backlight reminding information and / or backlight reminding instructions according to the backlight prediction information; wherein the backlight reminding information is used to remind the backlight situation on the navigation route, and the backlight reminding instructions are used to instruct an automatic driving sensor to adjust the amount of light. The application can realize backlight prediction and reminding in a navigation scene, thereby effectively ensuring the safety of driving and improving the user navigation experience.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of map navigation, and in particular to an information processing method, device, system, equipment and program product. BACKGROUND

[0002] A map navigation system can provide map data and quickly plan a travel route according to the needs of a user. For example, when a vehicle is driven using a map navigation system, during the map navigation process, the driver's eyes or the automatic driving sensors (such as a visual sensor) of the vehicle can form a backlight with the sun in traffic scenarios such as turning, U-turns and entering and exiting tunnels. Therefore, the vehicle enters a backlight scene from a non-backlight scene.

[0003] However, during this process, the backlight can cause the driver to be unable to see the darker areas in the field of view, thereby affecting the safety of driving; the automatic driving visual sensor can also cause the imaging quality to sharply decrease due to instantaneous overexposure, thereby affecting target recognition and further affecting the safety of driving.

[0004] Therefore, the prior art cannot effectively handle the backlight scene in a navigation scenario, thereby failing to effectively ensure the safety of driving and resulting in a poor user navigation experience. SUMMARY

[0005] The main purpose of the embodiments of the present application is to provide an information processing method, device, system, equipment and program product, which can realize backlight prediction and reminders in a navigation scenario, thereby effectively ensuring the safety of driving and improving the user navigation experience.

[0006] In a first aspect, the embodiments of the present application provide an information processing method, comprising:

[0007] In response to determining that a target object has a backlight scene on a current navigation route, determining backlight prediction information according to a current position of the target object and a backlight section corresponding to the backlight scene; the backlight prediction information is updated based on changes in the position of the target object during travel;

[0008] Generating backlight reminder information and / or backlight reminder instructions according to the backlight prediction information;

[0009] The backlight reminder information is used to remind the backlight situation on the navigation route, and the backlight reminder instructions are used to instruct the automatic driving sensor to adjust the amount of light entering.

[0010] Optionally, determining the backlight prediction information according to the current position of the target object and the backlight section corresponding to the backlight scene comprises:

[0011] determining a distance of the target object entering the backlight road section according to the current position of the target object and the backlight road section; and / or,

[0012] determining a time of the target object entering the backlight road section according to the current position of the target object, the travel state of the target object and the backlight road section;

[0013] taking the distance of the target object entering the backlight road section and / or the time of the target object entering the backlight road section as backlight prediction information.

[0014] Optionally, generating backlight reminding information and / or backlight reminding instruction according to the backlight prediction information, comprising:

[0015] determining a timing of triggering backlight reminding according to the backlight prediction information;

[0016] generating backlight reminding information and / or backlight reminding instruction matching the backlight prediction information when the timing of triggering backlight reminding is reached.

[0017] Optionally, determining the timing of triggering backlight reminding according to the backlight prediction information, comprising:

[0018] comparing the distance of the target object entering the backlight road section and / or the time of the target object entering the backlight road section in the backlight prediction information with a preset distance threshold and / or time threshold to determine the timing of triggering backlight reminding.

[0019] Optionally, the backlight scene comprises a continuous backlight scene; the method further comprises:

[0020] obtaining a plurality of position points within a preset distance from the current position of the target object on the current navigation route and road directions corresponding to the plurality of position points;

[0021] for each position point in the plurality of position points, determining whether a backlight geometric condition is established when the target object reaches the position point according to the travel state of the target object and the road direction corresponding to the position point; the backlight geometric condition is used to represent a judgment condition formed by a geometric relationship of backlight;

[0022] if not, determining that the position point is not backlight; if yes, determining whether the position point is backlight according to weather information corresponding to a position region where the position point is located; determining that the target object has a backlight scene on the current navigation route if a length of a road section formed by position points determined to have continuous backlight is greater than a preset length threshold; wherein the road section formed by the position points determined to have continuous backlight is taken as a backlight road section corresponding to the backlight scene.

[0023] Optionally, the determination of whether the back-lighting geometric condition is met when the target object reaches the location point comprises:

[0024] According to the location point and the traveling state of the target object, a time when the target object reaches the location point is determined, and according to the time and the location point, a horizontal angle and a horizontal angle of a sunlight ray in a horizontal coordinate system at a corresponding time and location point are determined;

[0025] According to the road direction and the road slope, a first horizontal angle range and a first vertical angle range of the autonomous driving sensor in a horizontal coordinate system of a current location area are determined, and / or, according to the road direction, the road slope and attribute information of the target object, a second horizontal angle range and a second vertical angle range of the reminded object in the horizontal coordinate system of the current location area are determined;

[0026] If the horizontal angle is within the first vertical angle range and the horizontal angle is within the first horizontal angle range, and / or, if the horizontal angle is within the second vertical angle range and the horizontal angle is within the second horizontal angle range, it is determined that the back-lighting geometric condition is met when the target object reaches the location point.

[0027] Optionally, the preset distance includes a first preset distance and a second preset distance; the method further comprises:

[0028] If the current navigation state is at the beginning of navigation, the first preset distance is determined as the preset distance;

[0029] If the current navigation state is in the process of navigation, the second preset distance is determined as the preset distance;

[0030] The first preset distance is less than a preset distance threshold, and the second preset distance is greater than the preset distance threshold; the preset distance threshold is used to provide a basis for determining a timing of triggering the back-lighting reminder.

[0031] In a second aspect, an information processing apparatus is provided, comprising:

[0032] A back-lighting prediction information determination module is configured to, in response to determining that a target object has a back-lighting scene on a current navigation route, determine back-lighting prediction information according to a current location of the target object and a back-lighting section corresponding to the back-lighting scene; the back-lighting prediction information is updated based on changes in the location of the target object during travel;

[0033] A back-lighting reminder module is configured to generate back-lighting reminder information and / or back-lighting reminder instructions according to the back-lighting prediction information;

[0034] The reverse light reminding information is used for reminding a reverse light condition on a navigation route, and the reverse light reminding instruction is used for instructing an automatic driving sensor to adjust an amount of light.

[0035] In a third aspect, an embodiment of the present application provides a map navigation system, which is configured to execute the method in any one of the first aspect.

[0036] In a fourth aspect, an embodiment of the present application provides a vehicle-mounted device, which comprises the map navigation system in the third aspect.

[0037] In a fifth aspect, an embodiment of the present application provides an automatic driving system, which is configured to execute the method in any one of the first aspect.

[0038] In a sixth aspect, an embodiment of the present application provides an electronic device, which comprises:

[0039] at least one processor; and

[0040] a memory connected with the at least one processor in communication;

[0041] The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to cause the electronic device to execute the method in any one of the above aspects.

[0042] In a seventh aspect, an embodiment of the present application provides a computer program product, which comprises a computer program executable by a processor to implement the method in any one of the above aspects.

[0043] The information processing method, apparatus, system, device, and program product provided in this application can determine backlight forecast information based on the target object's current location and the corresponding backlight road segment, in response to determining that a backlight scene exists on the current navigation route. The backlight forecast information is updated based on changes in the target object's position during its movement. Further, backlight reminder information and / or backlight reminder instructions are generated based on the backlight forecast information. The backlight reminder information is used to remind users of backlight conditions on the navigation route, and the backlight reminder instructions are used to instruct the autonomous driving sensors to adjust the amount of light entering the vehicle. In map navigation scenarios, this application can detect the existence of backlight scenes on the navigation route based on the navigation map. If a backlight scene exists, backlight forecast information is determined to trigger a backlight reminder. The backlight forecast and reminder in this navigation scenario differ from the forecast and navigation reminder for fixed traffic scenes on the navigation route in intersection navigation. Instead, it judges changing backlight scenes, and these backlight scenes change with time, season, and direction. Therefore, this application achieves backlight prediction and reminder in navigation scenarios by effectively processing backlight scenes, so that the reminded object and / or autonomous driving sensors can prepare in advance before entering backlight scenes, reducing the adaptation process of human eyes and / or autonomous driving sensors, thereby effectively ensuring driving safety and improving the user navigation experience. Attached Figure Description

[0044] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0045] Figure 1 This is a schematic diagram illustrating an application scenario according to an embodiment of this application;

[0046] Figure 2 This is a schematic diagram illustrating another application scenario provided by an embodiment of this application;

[0047] Figure 3 A flowchart illustrating an information processing method provided in an embodiment of this application;

[0048] Figure 4 A schematic diagram of a turning scenario provided in an embodiment of this application;

[0049] Figure 5 A schematic diagram of a U-turn scenario provided in an embodiment of this application;

[0050] Figure 6 A schematic diagram illustrating the process of backlight prediction at the start of navigation provided in an embodiment of this application;

[0051] Figure 7A flowchart of the reverse light prediction in the navigation process provided by the embodiment of the present application is shown in the figure;

[0052] Figure 8 A flowchart of the reverse light warning provided by the embodiment of the present application is shown in the figure;

[0053] Figure 9 A structure diagram of an information processing device provided by the embodiment of the present application is shown in the figure;

[0054] Figure 10 A structure diagram of an electronic device provided by the embodiment of the present application is shown in the figure.

[0055] The specific embodiments of the present application have been shown in the above figures, and will be described in more detail hereinafter. These figures and the written description are not intended to limit the scope of the present application concept in any way, but to illustrate the present application concept to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0056] The exemplary embodiments will be described in detail herein with reference to the accompanying drawings. In the following description, the same numbers refer to the same elements throughout the drawings, unless otherwise represented. The embodiments described in the following exemplary embodiments do not represent all the embodiments consistent with the present application.

[0057] First, the terms involved in the present application are explained:

[0058] Subject vehicle: the vehicle to be warned of the reverse light.

[0059] Reverse light: a condition in which the main object to be photographed is just between the light source and the optical sensor, which is extremely easy to cause insufficient exposure of the main object to be photographed.

[0060] Reverse light geometric condition: the elevation angle and the horizontal angle of the sun in the local coordinate system of the human eye or the visual sensor are less than the field of view angle of the human eye or the visual sensor; the field of view angle at least includes the vertical field of view angle and the horizontal field of view angle.

[0061] In the process of the vehicle entering the reverse light scene from the non-reverse light scene, the reverse light will cause the warned object to be unable to see the darker area in the field of view, thereby affecting the safety of driving; the automatic driving visual sensor will also cause the imaging quality to drop sharply due to the instantaneous overexposure, which will affect the target recognition, thereby affecting the safety of driving.

[0062] Therefore, the prior art cannot effectively handle the reverse light scene in the navigation scene, thereby cannot effectively ensure the safety of driving, and makes the user's navigation experience poor.

[0063] In view of this, embodiments of this application provide an information processing method to enable the reminded object and / or autonomous driving sensors to prepare in advance before entering a backlight scene, reduce the adaptation process of the human eye and / or autonomous driving sensors, thereby effectively ensuring driving safety and improving the user navigation experience. Based on the navigation route on the navigation map, the method can detect whether there is a backlight scene on the navigation route. If a backlight scene exists, backlight prediction information is generated to predict the distance or time for the target object to enter the backlight scene when it is determined that a backlight scene exists. Then, backlight reminder information is generated to remind the reminded object to take appropriate measures for the backlight scene and / or backlight reminder instructions are generated to instruct the autonomous driving sensors to adjust the amount of light entering the vehicle, thereby realizing backlight reminder.

[0064] Therefore, by judging the changing backlight scene and effectively handling the backlight scene, backlight prediction and reminders can be realized in the navigation scene. This allows the reminded object and / or autonomous driving sensor to prepare in advance before entering the backlight scene, reducing the adaptation process of human eyes, equipment and / or autonomous driving sensors, thereby effectively ensuring driving safety and improving the user navigation experience.

[0065] The recipient of the reminder can be a driver or a non-driver. The target can be a vehicle with a built-in navigation system, an autonomous vehicle, or the user or other means of transportation used by the user and a user device with a navigation application installed. The following uses a self-driving car as an example to explain the backlight prediction and reminder in the context of map navigation.

[0066] Figure 1 This is a schematic diagram illustrating an application scenario involved in an embodiment of this application. For example... Figure 1 As shown, the information processing method provided in this application embodiment can be applied to, for example... Figure 1 The application scenario shown includes an in-vehicle device 101 and an autonomous driving system 102. Specifically, the in-vehicle device 101 is equipped with a map navigation system (e.g., a map app with navigation functionality) to provide navigation. The autonomous driving system 102 includes autonomous driving sensors (e.g., autonomous driving vision sensors, hereinafter referred to as vision sensors) that can identify targets, such as objects on a map and obstacles around the vehicle. This application scenario uses the map navigation system in the in-vehicle device 101 as the primary execution mechanism. When a user (here, the driver or a non-driver in the vehicle) inputs a navigation destination, triggering navigation, the map navigation system in the in-vehicle device 101 provides the user with a navigation route and renders and displays a navigation map.

[0067] The map navigation system obtains a route from a current position of the ego vehicle to a preset distance on a current navigation route, detects whether there is a continuous backlight scene on the route (here, a backlight scene formed by a backlight section with a length greater than a preset length threshold), if there is no continuous backlight scene, continues the next detection, if there is a continuous backlight scene, generates backlight prediction information based on the current position of the ego vehicle and the backlight section corresponding to the continuous backlight scene, for predicting a distance or time of the ego vehicle entering the backlight scene when it is determined that there is a backlight scene, and determining when to trigger a backlight reminder based on the backlight prediction information, that is, determining a trigger time, and then generating a backlight reminder information and / or a backlight reminder instruction according to the trigger time.

[0068] The map navigation system plays or displays the backlight reminder information, to remind the reminded object to use corresponding measures for the backlight scene, so that the reminded object can make preparations in advance before entering the backlight scene, reduce the process of human eye adaptation, thereby ensuring the safety of driving and improving the navigation experience of the user. And / or, the map navigation system sends the generated backlight reminder instruction to the automatic driving sensor in the automatic driving system 102, to instruct the automatic driving sensor to adjust the light amount (such as reducing the exposure time, reducing the aperture, or adjusting the sensor posture, etc.), so that the automatic driving sensor can accurately identify the target in the backlight scene, thereby ensuring the safety of driving and improving the navigation experience of the user.

[0069] Therefore, in the map navigation scene, the map navigation system can realize backlight prediction and trigger a backlight reminder in the navigation scene by detecting whether there is a backlight scene on a navigation route on a navigation map, if there is a backlight scene, determining the backlight prediction information in a manner, through effective processing of the backlight scene, so that the reminded object and / or the automatic driving sensor can make preparations in advance before entering the backlight scene, reduce the process of human eye and / or automatic driving sensor adaptation, thereby effectively ensuring the safety of driving, and improving the navigation experience of the user.

[0070] It should be noted that the execution steps of realizing the backlight prediction and triggering the backlight reminder by responding to the determination that the target object has a backlight scene on the current navigation route, and then determining the backlight prediction information, are only illustrative, and can also be processed by splitting out more platforms and more modules, and the embodiments of the present application do not make specific limitations thereon. Among them, the obtained ego vehicle position, vehicle speed, navigation route, etc. are all authorized by the user or the vehicle factory.

[0071] Optionally, as shown in Figure 2 The information processing method provided by the embodiments of the present application can be applied to, for example, Figure 2In the application scenario shown, the application scenario can include: the vehicle-mounted device 101, the automatic driving system 102; specifically, the vehicle-mounted device 101 is installed with a map navigation system (for example, a map APP with a navigation function) to provide a navigation function; the automatic driving system 102 includes an automatic driving sensor (for example, an automatic driving visual sensor, referred to as a visual sensor below) that can identify target objects, such as objects in a map, obstacles around the vehicle, and the like. The application scenario takes the automatic driving system as the execution subject, when the map navigation system in the vehicle-mounted device 101 triggers the navigation start by the user (here, which can refer to the driver or a non-driver on the vehicle) inputting a navigation destination, the map navigation system navigates the route for the user and renders and displays a navigation map.

[0072] The automatic driving system can obtain a navigation route, and according to a route from a current position of the vehicle to a preset distance on the current navigation route, detect whether there is a continuous backlight scene (here, which refers to a backlight scene formed by a backlight section with a length greater than a preset length threshold) on the route. If there is no continuous backlight scene, the next detection is continued; if there is a continuous backlight scene, a backlight prediction information is generated based on the current position of the vehicle and the backlight section corresponding to the continuous backlight scene, for predicting a distance or time for the vehicle to enter the backlight scene when it is determined that there is a backlight scene, and based on the backlight prediction information, determining when to trigger a backlight reminder, that is, determining a trigger time for the backlight reminder, and then generating a backlight reminder information and / or a backlight reminder instruction according to the trigger time.

[0073] The automatic driving system 102 plays or displays the corresponding backlight reminder information through a voice broadcast device or a display device of the automatic driving system, or the automatic driving system sends the backlight reminder information to the map navigation system, and the map navigation system plays or displays the corresponding backlight reminder information, to remind the reminded object to use corresponding measures for the backlight scene, so that the reminded object can prepare in advance before entering the backlight scene; for example, the reminded object is a driver, by reminding the driver to use corresponding measures (for example, wearing sunglasses or adjusting a sun visor, etc.) for the backlight scene, the process of human eye adaptation is reduced, so as to ensure the safety of driving and improve the navigation experience of the user. And / or, the automatic driving system 102 sends the generated backlight reminder instruction to the automatic driving sensor in the automatic driving system 102 and / or other devices affected by the backlight, to instruct the automatic driving sensor to adjust the light amount, so that the automatic driving sensor can accurately identify the target in the backlight scene, thereby ensuring the safety of driving and improving the navigation experience of the user.

[0074] Therefore, in the map navigation scenario, the automatic driving system can realize the back light prediction in the manner of determining the back light prediction information based on the navigation route on the navigation map, by detecting whether there is a back light scenario on the navigation route, if there is a back light scenario, triggering the back light reminder, and through the effective processing of the back light scenario, realizing the back light prediction and reminder in the navigation scenario, so that the reminded object and / or the automatic driving sensor can be prepared in advance before entering the back light scenario, reducing the process of adaptation of the human eye and / or the automatic driving sensor, thereby effectively ensuring the safety of driving, and improving the user navigation experience.

[0075] Optionally, there is also a scenario that the ego vehicle does not have an automatic driving system, therefore, in combination with Figure 1 and Figure 2 It is shown that the back light reminder for the automatic driving sensor is not required, that is, there is no need to generate a back light reminder instruction to instruct the automatic driving sensor to adjust the light amount; the specific information processing process and the achieved effect are the same as the process of information processing by the vehicle-mounted device in the above Figure 1 , and will not be described here.

[0076] Among them, Figure 1 and Figure 2 The vehicle-mounted device in the application scenario shown can be replaced by a user device installed with a map navigation system, such as a smart phone, a tablet computer, and the like electronic product, which can communicate with the automatic driving system of the ego vehicle, and the specific information processing process and the achieved effect are the same as the process of information processing in the above Figure 1 and Figure 2 , and will not be described here.

[0077] The technical solutions of the present application will be described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described hereinafter. The embodiments of the present application will be described below with reference to the accompanying drawings.

[0078] Exemplarily, Figure 3 A flowchart of an information processing method provided by an embodiment of the present application is shown. The embodiment can be applied to any device capable of realizing information processing, such as a vehicle-mounted device, an automatic driving system, etc., and the following target object is taken as an ego vehicle for example, and the information processing method is described in detail. As shown in Figure 3 , the information processing method can include:

[0079] S301, in response to determining that the target object has a back light scenario on the current navigation route, determining back light prediction information according to the current position of the target object and the back light section corresponding to the back light scenario; the back light prediction information is updated based on the change of the position of the target object in the process.

[0080] In the implementation of the present application, it is first determined whether there is a backlight scene on the current navigation route of the target object. In the navigation scene, due to the traffic condition of the vehicle entering the backlight scene, the pupil of the reminded object is narrowed, the dark area in the field of view cannot be seen, and the reminded object feels uncomfortable. The automatic driving visual sensor will also cause the imaging quality to drop sharply due to instantaneous overexposure, which will affect the target recognition. The longer the process lasts, the greater the impact on the visual experience of the reminded object and the safety of automatic driving.

[0081] Therefore, in order to improve the navigation experience of the reminded object and ensure the safety of driving, it can be predicted whether the road section to be traveled is in backlight based on the current navigation route through the backlight prediction method, that is, whether there is a backlight scene. If there is a backlight scene, subsequent backlight prediction is performed to predict the distance of the ego vehicle entering the backlight section and / or the time of the ego vehicle entering the backlight section.

[0082] Among them, the backlight prediction includes two processing stages: 1. Determine whether there is a backlight scene within a preset distance from the current position on the current navigation route. 2. If there is a backlight scene, calculate the time or distance of entering the backlight scene; if there is no backlight scene, continue to detect whether there is a backlight scene next time. For example, detection is performed at certain distance intervals or time intervals, such as every 100m or every 5s.

[0083] The backlight section corresponding to the backlight scene here includes the starting position and the end position in the backlight scene; the backlight prediction information here is used to indicate the distance or time of the ego vehicle entering the backlight scene when there is a backlight scene. Therefore, the backlight prediction is the distance or time of the ego vehicle entering the backlight scene calculated continuously when it is determined that there is a backlight scene, and the backlight prediction information is updated and changed with the change of the position of the ego vehicle in travel, to provide a basis for backlight reminding.

[0084] S302, generating backlight reminding information and / or backlight reminding instruction according to the backlight prediction information.

[0085] Among them, the backlight reminding information is used to remind the backlight condition on the navigation route, and the backlight reminding instruction is used to instruct the automatic driving sensor to adjust the light amount.

[0086] In the embodiments of the present application, the backlight reminding information is used to remind the backlight situation on the navigation route, for example, to remind the corresponding measures used by the reminded object for the backlight scene. Among them, the backlight reminding is based on the backlight prediction information to determine when to generate the backlight reminding information to remind the broadcast to the reminded object or to determine when to generate the backlight reminding instruction and send it to the automatic driving sensor, so that the automatic driving sensor can adaptively adjust the light amount of the camera, such as reducing the exposure time, reducing the aperture or adjusting the sensor posture, etc.

[0087] Specifically, different backlight prediction information corresponds to different backlight reminding information. For example: example 1, 100 meters ahead, about to enter the backlight scene; please wear sunglasses or adjust the sun visor in advance to reduce eye irritation. Example 2, entering the backlight scene immediately; please wear sunglasses or adjust the sun visor to reduce eye irritation. Example 3, currently located in the backlight scene. Please wear sunglasses or adjust the sun visor to reduce eye irritation. Different backlight prediction information corresponds to different backlight reminding instruction, so the parameter value adjusted by the automatic driving sensor based on the backlight reminding instruction is also different. For example, fine-tune the parameter value when there is still a distance or time to enter the backlight scene; appropriately adjust the parameter value when entering the backlight scene immediately; adjust the parameter value adaptively based on the current scene when in the backlight scene.

[0088] The backlight prediction in the navigation scene is to judge the changing backlight scene, and the backlight scene changes with time, season and direction, so the backlight prediction and reminding in the navigation scene are different from the intersection navigation, which is to predict and navigate the fixed traffic scene on the navigation route. Therefore, the processing of the backlight scene (including backlight prediction and backlight reminding) is humanized and reasonable, which can effectively improve the navigation experience and ensure the safety of driving.

[0089] Therefore, the embodiment of the present application can determine the backlight prediction information according to the current position of the ego vehicle and the backlight road section corresponding to the backlight scene in response to determining that the target object has the backlight scene on the current navigation route; the backlight prediction information is updated based on the change of the position of the ego vehicle during travel; further, the backlight warning information and / or the backlight warning instruction are generated according to the backlight prediction information; wherein the backlight warning information is used to warn the backlight condition on the navigation route, and the backlight warning instruction is used to instruct the automatic driving sensor to adjust the light amount. The present application can realize backlight prediction and trigger backlight warning in the map navigation scene based on the navigation route on the navigation map by detecting whether there is a backlight scene on the navigation route, and determining the backlight prediction information if there is a backlight scene. The backlight prediction and backlight warning in this navigation scene are different from the prediction and navigation warning of the fixed traffic scene on the navigation route in the intersection navigation, but the changeable backlight scene is judged, and the backlight scene changes with time, season and direction. Therefore, the present application realizes backlight prediction and warning in the navigation scene by effectively processing the backlight scene, so that the warned object and / or the automatic driving sensor can be prepared in advance before entering the backlight scene, the adaptation process of the human eye and / or the automatic driving sensor is reduced, and the safety of driving is effectively ensured, and the user navigation experience is improved.

[0090] Optionally, the method further comprises (i.e. the process of determining whether the target object has the backlight scene on the navigation route of the current navigation map):

[0091] obtaining a plurality of position points within a preset distance on the current navigation route from the current position of the target object and the road directions corresponding to the plurality of position points;

[0092] for each position point in the plurality of position points, determining whether the backlight geometric condition is established when the target object reaches the position point according to the travel state of the target object and the road direction corresponding to the position point; the backlight geometric condition is used to represent the judgment condition of the geometric relationship of reaching the backlight;

[0093] if not, it is determined that the position point is not backlight; if yes, determining whether the position point is backlight according to the weather information corresponding to the position region where the position point is located; in response to determining that the length of the road section formed by the continuous backlight position points is greater than a preset length threshold, it is determined that the target object has the backlight scene on the current navigation route; wherein the road section formed by the continuous backlight position points is used as the backlight road section corresponding to the backlight scene.

[0094] The travel state can include speed, angular velocity, acceleration, etc. The time to reach the position point can be predicted based on the travel state. The back light scene can include a continuous back light scene or a discontinuous back light scene. The prediction and the reminder of the continuous back light scene are more suitable for specific use scenarios and reduce resource consumption caused by the prediction and the reminder. On the current navigation route, whether each position point in the plurality of position points or each position point on the current navigation route is a back light scene is calculated. If there is a continuous back light section, there is a continuous back light scene. Figure 4 The turning scene shown in FIG. 6A exists in the continuous back light scene or the continuous back light section. The prediction and the reminder of the continuous back light scene are more suitable for specific use scenarios and reduce resource consumption caused by the prediction and the reminder. On the current navigation route, whether each position point in the plurality of position points or each position point on the current navigation route is a back light scene is calculated. If there is a continuous back light section, there is a continuous back light scene. Figure 5 The U-turn scene shown in FIG. 6B exists in the continuous back light scene or the continuous back light section. The prediction and the reminder of the continuous back light scene are more suitable for specific use scenarios and reduce resource consumption caused by the prediction and the reminder. On the current navigation route, whether each position point in the plurality of position points or each position point on the current navigation route is a back light scene is calculated. If there is a continuous back light section, there is a continuous back light scene.

[0095] Optionally, the preset distance includes a first preset distance and a second preset distance. The method further includes:

[0096] If the current navigation state is at the beginning of navigation, the first preset distance is determined as the preset distance.

[0097] If the current navigation state is in the process of navigation, the second preset distance is determined as the preset distance.

[0098] The first preset distance is less than a preset distance threshold, and the second preset distance is greater than the preset distance threshold. The preset distance threshold is used to provide a basis for determining a time when the back light reminder is triggered.

[0099] In the embodiments of the present application, at the beginning of navigation, the position points within the first preset distance on the current navigation route from the current position of the ego vehicle and the road directions corresponding to the position points are determined to be acquired. In the process of navigation, the position points within the second preset distance on the current navigation route from the current position of the ego vehicle and the road directions corresponding to the position points are determined to be acquired. The first preset distance is relatively small and greater than a preset length threshold. The purpose is to determine whether to immediately enter the back light section at the beginning of starting. Since there is no vehicle speed, the time to reach the back light section cannot be estimated. The first preset distance is small, so it can be directly considered that the continuous back light scene will be entered soon. Therefore, the back light reminder is triggered immediately without the need for calculating time, distance, and comparison.

[0100] Specifically, at the beginning of navigation, in order to quickly and accurately determine whether the route to be traveled is a continuous backlight scene, a preset distance of a small length (which can be selected to be greater than a preset length threshold of the backlight section and less than a distance threshold that can achieve prediction) can be selected. Since the vehicle has no speed at the beginning of navigation, the time of entering the backlight scene cannot be estimated, and the preset distance is short, thus ensuring the safety of driving while ensuring the rationality of backlight prediction and warning. Through the design of a short distance, if there is a continuous backlight scene, the warned object or the automatic driving sensor can be directly prompted to enter the backlight section immediately.

[0101] During navigation, the preset distance on the route to be traveled can be arbitrarily selected (for example, greater than a preset distance threshold for predicting the entry into the backlight scene, because if the preset distance threshold is too small, the detection frequency is too fast, which consumes resources and affects the user's navigation experience due to the playback of backlight warning information as soon as the detection is completed; or, the frequent sending of backlight warning instructions causes the automatic driving sensor to constantly receive instructions for execution, resulting in resource waste; therefore, the detection section is selected to be longer, so as to wait for an opportunity and give the warned object or the automatic driving sensor some preparation time). According to the comparison results of the preset distance threshold and / or the time threshold, backlight warning is performed.

[0102] Optionally, according to the travel state of the target object and the road direction corresponding to the position point, it is determined whether the backlight geometric condition is established when the target object reaches the position point, including:

[0103] According to the position point and the travel state of the target object, the time when the target object reaches the position point is determined, and according to the time and the position point, the elevation angle and the horizontal angle of the sunlight in the horizontal coordinate system at the corresponding time and position point are determined.

[0104] According to the road direction and the road slope, a first horizontal angle range and a first vertical angle range of the automatic driving sensor in the horizontal coordinate system of the current position region are determined; and / or, according to the road direction, the road slope, and the attribute information of the target object, a second horizontal angle range and a second vertical angle range of the warned object in the horizontal coordinate system of the current position region are determined.

[0105] If the elevation angle is within the first vertical angle range and the horizontal angle is within the first horizontal angle range, and / or if the elevation angle is within the second vertical angle range and the horizontal angle is within the second horizontal angle range, it is determined that the backlight geometric condition is established when the target object reaches the position point.

[0106] The horizontal angle range and the vertical angle range of the warned object in the horizontal coordinate system of the current position region are associated with the attribute information (especially the vertical field of view angle) or the speed of the vehicle.

[0107] In the embodiments of the present application, step 1, according to the position point on the current navigation route and the predicted arrival position point, the height angle and the horizontal angle of the sun in the corresponding time and the position point horizontal coordinate system can be calculated; step 2, according to the road direction (here, it refers to the road direction, and the road direction can be obtained based on the position point calculation or can be obtained from the map itself. Each position point corresponds to a road direction) and the road slope, the horizontal angle range and the vertical angle range of the field of view angle of the reminded object or the automatic driving sensor (or the visual sensor) in the local horizontal coordinate system can be calculated. (It is assumed that the line of sight of the person is parallel to the road direction, and the slope is defaulted to 0 when it cannot be obtained.) If the height angle and the horizontal angle calculated in step 1 both correspond to the vertical angle range and the horizontal angle range calculated in step 2 respectively, the back light geometric condition is triggered, that is, the back light geometric condition is established.

[0108] Specifically, the back light geometric condition can include the back light geometric condition corresponding to the reminded object and / or the back light geometric condition corresponding to the automatic driving sensor. For each position point, it can be judged whether the back light geometric condition corresponding to the reminded object is established when the ego vehicle arrives at the position point and whether the back light geometric condition corresponding to the automatic driving sensor is established when the ego vehicle arrives at the position point. If either of the two is established, it is determined that the back light geometric condition is established when the ego vehicle arrives at the position point. The two judgment processes of whether the back light geometric condition corresponding to the reminded object is established and whether the back light geometric condition corresponding to the automatic driving sensor is established are independent of each other, and the two judgment results can also be combined.

[0109] For example, for any position point, when the height angle is within the first vertical angle range and the horizontal angle is within the first horizontal angle range, it is determined that the back light geometric condition corresponding to the reminded object is established when the ego vehicle arrives at the position point, which indicates that the back light geometric condition is established when the ego vehicle arrives at the position point; when the height angle is within the second vertical angle range and the horizontal angle is within the second horizontal angle range, it is determined that the back light geometric condition corresponding to the automatic driving sensor is established when the ego vehicle arrives at the position point, which indicates that the back light geometric condition is established when the ego vehicle arrives at the position point; when the height angle is within the first vertical angle range and the horizontal angle is within the first horizontal angle range and the height angle is within the second vertical angle range and the horizontal angle is within the second horizontal angle range, it is determined that the back light geometric condition corresponding to the reminded object is established when the ego vehicle arrives at the position point, and the back light geometric condition corresponding to the automatic driving sensor is established when the ego vehicle arrives at the position point, which indicates that the back light geometric condition is established when the ego vehicle arrives at the position point.

[0110] Therefore, based on the different objects reminded, the angle of consideration for determining whether the backlight geometry condition is established is also different: for example, the automatic driving sensor, or other devices affected by backlight, etc. For example, the visual sensor, its field of view angle is calculated based on the fixed parameters of the visual sensor, combined with the road direction and the road slope. For the field of view angle of the reminded object as the driver or non-driver, etc., the attribute information of the driving vehicle (i.e., the ego vehicle) also needs to be combined, such as the vehicle type, the driving vehicle can be a truck, a car, etc. Different vehicle types, due to the difference in vehicle height, observation angle, etc., so the corresponding field of view angle range of the reminded object on the corresponding vehicle type is also different; or, the current speed of the driving vehicle can also be combined, because the speed is different, the field of view angle range is also different; therefore, the backlight is judged by different field of view angles, which can be more accurate.

[0111] Optionally, the backlight prediction information is determined according to the current position of the target object and the backlight section corresponding to the backlight scene, including:

[0112] The distance of the target object entering the backlight section is determined according to the current position of the target object and the backlight section; and / or,

[0113] The time of the target object entering the backlight section is determined according to the current position of the target object, the obtained travel state of the target object, and the backlight section.

[0114] The distance of the target object entering the backlight section and / or the time of the target object entering the backlight section are taken as the backlight prediction information.

[0115] In the embodiments of the present application, the distance and time of entering the backlight scene are calculated to determine the backlight prediction information, which is more intuitive and clear. Referring to Figure 6 shown, Figure 6 the flowchart of backlight prediction at the beginning of navigation provided by the embodiments of the present application; at the beginning of navigation, since there is no speed, the distance and time of entering the continuous backlight scene can be directly determined as 0, that is, the backlight prediction information is that the distance of the ego vehicle entering the backlight section and / or the time of the ego vehicle entering the backlight section is 0. Referring to Figure 7 shown, Figure 7 the flowchart of backlight prediction in the navigation process provided by the embodiments of the present application; in the navigation process, the backlight prediction information is determined by comparing the distance or time.

[0116] Specifically, combined with Figure 6 shown, step 1.1: at the beginning of navigation, it is detected whether there is a continuous backlight scene within the first preset distance (such as 100m (which can be set)) from the current position to the current navigation route. If yes, set the entering backlight scene distance to 0, trigger the backlight reminder; if not, execute step 1.2.

[0117] In combination Figure 7 In step 1.2, the navigation process shown, the position points, road direction and slope (0 by default if not present) within the second preset distance (such as 1km (settable)) on the route to be traveled (i.e. the navigation route) are obtained, the relative poses of the reminded objects in the vehicle or the field of view angles of the automatic driving vision sensors and the sun when reaching these position points are calculated according to the current vehicle speed or average speed, it is judged whether the backlight geometry condition is established, and the prediction of whether each position point is backlight is given in combination with the weather information (such as whether it is sunny or cloudy in the local area). If there is a continuous backlight section (the continuous length can be set, such as greater than 50m, etc.) or a continuous backlight scene, the distance (or time) of the vehicle entering the backlight section is predicted according to the current vehicle position (i.e. the current position of the ego vehicle) and speed, and the backlight reminder is triggered. If not, continue to the next detection: detection is performed at a certain distance or time interval, such as every 100m, or every 5s.

[0118] Optionally, according to the backlight prediction information, backlight reminder information and / or backlight reminder instructions are generated, including:

[0119] According to the backlight prediction information, the timing of triggering the backlight reminder is determined;

[0120] When the backlight reminder is triggered according to the timing, the backlight reminder information and / or the backlight reminder instructions matching the backlight prediction information are generated.

[0121] Optionally, the method further includes:

[0122] The backlight reminder information is played or displayed by a map navigation system or an automatic driving system; and / or,

[0123] The backlight reminder instructions are sent to the automatic driving sensors of the target object or other devices affected by the backlight.

[0124] In the embodiments of the present application, in order to ensure the safety of driving, the reminder trigger can be one or more times, so based on different predicted distances or times of entering the backlight scene, the corresponding triggers are performed, and at the same time in order to ensure the user experience and avoid unnecessary performance consumption, it is not necessary to trigger in real time without interruption, but only the timing of triggering the backlight reminder is determined to perform the corresponding trigger. Therefore, through the judgment of the triggering timing, the reminder can be effectively performed, and at the same time the navigation experience of the user is not affected.

[0125] Among them, based on the difference of application scene, the device executing the backlight reminder operation is also different: it can be the map navigation system itself broadcasting backlight reminder information or sending backlight reminder instructions to the automatic driving sensor, or the automatic driving system generating backlight reminder information or backlight reminder instructions through the above technical means, and performing backlight reminder through its own voice broadcasting device or display device, or sending backlight reminder instructions to the automatic driving sensor.

[0126] Optionally, according to the backlight prediction information, the timing of triggering the backlight reminder is determined, including:

[0127] According to the distance of the target object entering the backlight section and / or the time of the target object entering the backlight section in the backlight prediction information, the timing of triggering the backlight reminder is determined by comparing with a preset distance threshold and / or a time threshold.

[0128] Among them, the timing of triggering the backlight reminder can be realized by the following two ways:

[0129] Method 1: without distinguishing the current navigation state (i.e. during navigation or during navigation)

[0130] After determining the backlight prediction information, based on the backlight prediction information, the distance of the target object entering the backlight section is compared with the preset distance threshold, and / or the time of the target object entering the backlight section is compared with the time threshold, to determine the timing of the backlight reminder.

[0131] Method 2: distinguishing the current navigation state

[0132] If the backlight prediction information is determined at the beginning of navigation, the backlight reminder is triggered;

[0133] If the backlight prediction information is determined during navigation, according to the distance of the target object entering the backlight section and / or the time of the target object entering the backlight section in the backlight prediction information, the timing of triggering the backlight reminder is determined by comparing with a preset distance threshold and / or a time threshold.

[0134] Specifically, at different navigation stages, different triggering timings are corresponded. For example, at the beginning of navigation, since the vehicle speed is not started, the time of reaching the backlight section cannot be estimated, in order to ensure the safety of driving, if a continuous backlight scene is detected, the distance or time of entering the backlight scene is set to 0, and the backlight reminder is triggered immediately. During navigation, the backlight situation of the future road section to be traveled is detected and predicted at a time interval or a distance interval, the backlight reminder does not need to be triggered immediately, only the distance and time of entering the backlight scene are calculated, and the backlight reminder is triggered accordingly with the change of the distance and time.

[0135] Specifically, taking the driver as an example, referring to Figure 8 Figure 8 The flowchart of the reverse light reminding provided by the embodiment of the application; according to the calculation of the distance or time of entering the reverse light scene in step 1.2, the reverse light prediction information (there is a reverse light scene, the distance or time of entering the reverse light scene) is generated, and the reverse light reminding information is broadcast or the reverse light reminding instruction is sent to the automatic driving sensor: according to the reverse light prediction information, the reverse light reminding information is generated, and the driver is reminded to take measures such as sunshade through voice, text, picture and the like; according to the reverse light prediction information, the reverse light reminding instruction is generated, and the automatic driving sensor is reminded to adapt to the reverse light scene in advance through the instruction.

[0136] The preset distance threshold and the preset time threshold can be multiple. Specifically, for the mode 1 and the mode 2, the process of determining the timing of the reverse light reminding is the same through the comparison of the distance or the time: step 2.1, if the predicted distance of entering the reverse light section is greater than the first reminding threshold (i.e. the reminding threshold 1, such as 100 m), the reverse light reminding information is broadcast after waiting for less than the reminding threshold 1. The reverse light reminding information example for the driver: 100 meters ahead, about to enter the reverse light scene. Please wear sunglasses or adjust the sun visor in advance to reduce eye irritation. It can be broadcasted multiple times, and the reminding distance changes with the change of the vehicle position. For the automatic driving sensor, the adaptation is as follows: reducing the exposure time, reducing the aperture or adjusting the posture of the automatic driving sensor, etc., such as, fine-tuning the parameter values.

[0137] Step 2.2, if the predicted distance of entering the reverse light section is less than the second reminding threshold (i.e. the reminding threshold 2, such as 10 m) and greater than 0. The reverse light reminding information example for the reminded object: entering the reverse light scene immediately. Please wear sunglasses or adjust the sun visor to reduce eye irritation. For the automatic driving sensor, the adaptation is as follows: reducing the exposure time, reducing the aperture or adjusting the posture of the automatic driving sensor, etc., such as, appropriately adjusting the parameter values.

[0138] Step 2.3, if the predicted time of entering the reverse light section is 0 or the distance is 0, the reverse light reminding is performed immediately. The reverse light reminding information example for the reminded object: currently located in the reverse light scene. Please wear sunglasses or adjust the sun visor to reduce eye irritation. For the automatic driving sensor, the adaptation is as follows: reducing the exposure time, reducing the aperture or adjusting the posture of the automatic driving sensor, etc., such as, adaptively adjusting the parameters.

[0139] ​Therefore, by the steps 1.1-1.2 and 2.1-2.3, in the navigation scene, the back light prediction is made based on the current navigation route, the back light scene on the current navigation route is found, and the back light reminder (such as through the navigation reminder) is triggered, which realizes the application of the back light geometric principle and the weather information in the vehicle navigation process, the detection of whether there is a back light scene on the navigation route, and the prediction of the time and distance of entering the back light scene. With the back light scene prediction capability, the navigation application requirements are met. Through voice, text, picture and other ways, the reminded object is reminded to take measures such as sunshade, which can improve the driving experience in the back light scene. Through the instruction reminder, the automatic driving sensor is reminded to adapt to the back light scene in advance, such as reminding the automatic driving sensor to take measures such as adjusting the exposure time, adjusting the aperture size, adjusting the automatic driving sensor view angle (or posture), which can avoid the driving risk in advance, thereby effectively ensuring the safety of driving and improving the navigation experience.

[0140] Corresponding to the above information processing method, an embodiment of the present application provides an information processing device, Figure 9 The structure of an information processing device provided by an embodiment of the present application is shown in the figure, which comprises:

[0141] The back light prediction information determination module 901 is configured to determine the back light prediction information according to the current position of the target object and the back light section corresponding to the back light scene, in response to determining that the target object has a back light scene on the current navigation route; the back light prediction information is updated based on the change of the position of the target object in the journey;

[0142] The back light reminder module 902 is configured to generate back light reminder information and / or back light reminder instructions according to the back light prediction information;

[0143] The back light reminder information is used to remind the back light situation on the navigation route, and the back light reminder instructions are used to instruct the automatic driving sensor to adjust the light amount.

[0144] The information processing device provided by the embodiment of the present application can be used to execute the above Figures 1 to 8 The technical scheme of the embodiment shown in the figure, the implementation principle and the technical effect are similar, and the embodiment will not be described here.

[0145] Optionally, the back light prediction information determination module 901 is specifically configured to:

[0146] determine the distance of the target object entering the back light section according to the current position of the target object and the back light section; and / or,

[0147] determine the time of the target object entering the back light section according to the current position of the target object, the obtained traveling state of the target object and the back light section;

[0148] The distance of the target object entering the backlight road section and / or the time of the target object entering the backlight road section is taken as backlight prediction information.

[0149] Optionally, the backlight reminding module 902 comprises a determining unit and a generating unit.

[0150] The determining unit is configured to determine a timing of triggering a backlight reminding according to the backlight prediction information.

[0151] The generating unit is configured to generate backlight reminding information and / or a backlight reminding instruction matched with the backlight prediction information when the timing of triggering the backlight reminding is reached.

[0152] Optionally, the determining unit is specifically configured to:

[0153] The timing of triggering the backlight reminding is determined by comparing the distance of the target object entering the backlight road section and / or the time of the target object entering the backlight road section in the backlight prediction information with a preset distance threshold and / or a time threshold.

[0154] Optionally, the determining unit is specifically configured to:

[0155] When the backlight prediction information is determined at the beginning of the navigation, the backlight reminding is triggered.

[0156] When the backlight prediction information is determined in the navigation process, the timing of triggering the backlight reminding is determined by comparing the distance of the target object entering the backlight road section and / or the time of the target object entering the backlight road section in the backlight prediction information with a preset distance threshold and / or a time threshold. Optionally, the backlight scene comprises a continuous backlight scene; and the information processing device further comprises a backlight scene determining module configured to:

[0157] acquire a plurality of position points within a preset distance from a current position of the target object on the current navigation route and road directions corresponding to the plurality of position points;

[0158] For each position point in the plurality of position points, it is determined whether a backlight geometric condition is established when the target object reaches the position point according to a travel state of the target object and the road direction corresponding to the position point; the backlight geometric condition is used to represent a judgment condition of a geometric relationship of backlight;

[0159] If not, it is determined that the position point is not backlight; if yes, it is determined whether the position point is backlight according to weather information corresponding to a position region where the position point is located; it is determined that the target object has a backlight scene on the current navigation route when a length of a road section formed by the position points of the continuous backlight is greater than a preset length threshold; and the road section formed by the position points of the continuous backlight is taken as a backlight road section corresponding to the backlight scene.

[0160] Optionally, the back light scene determination module 901 is specifically configured to:

[0161] determine a time when the target object reaches the position point according to the position point and the travel state of the target object, and determine a height angle and a horizontal angle of the sunlight in a horizontal coordinate system at a corresponding time and position point according to the time and the position point;

[0162] determine a first horizontal angle range and a first vertical angle range of the automatic driving sensor in a horizontal coordinate system of a current position area according to the road direction and the road slope, and / or determine a second horizontal angle range and a second vertical angle range of the reminded object in the horizontal coordinate system of the current position area according to the road direction, the road slope and the attribute information of the target object;

[0163] if the height angle is within the first vertical angle range and the horizontal angle is within the first horizontal angle range, and / or if the height angle is within the second vertical angle range and the horizontal angle is within the second horizontal angle range, it is determined that the back light geometric condition is established when the target object reaches the position point.

[0164] Optionally, the preset distance includes a first preset distance and a second preset distance; the device further includes a processing module; the processing module is configured to:

[0165] when the current navigation state is navigation start, determine that the preset distance is the first preset distance;

[0166] when the current navigation state is in the navigation process, determine that the preset distance is the second preset distance;

[0167] wherein the first preset distance is less than a preset distance threshold, and the second preset distance is greater than the preset distance threshold; the preset distance threshold is used to provide a basis for determining a time when the back light reminder is triggered.

[0168] Optionally, the processing module is further configured to:

[0169] play or display the back light reminder information through a map navigation system or an automatic driving system; and / or,

[0170] send the back light reminder instruction to the automatic driving sensor of the target object.

[0171] Optionally, the embodiment of the present application further provides a map navigation system, which is used to execute any of the above methods.

[0172] The map navigation system provided by the embodiment of the present application can be used to execute the above Figures 1 to 8The technical solutions of the embodiments shown, the implementation principles and the technical effects are similar, and details are not described herein again.

[0173] Optionally, the embodiment of the application further provides a vehicle-mounted device, comprising: a map navigation system installed in the vehicle-mounted device, and the map navigation system is used for executing any of the methods.

[0174] The vehicle-mounted device provided by the embodiment of the application can be used for executing the above Figures 1 to 8 The technical solutions of the embodiments shown, the implementation principles and the technical effects are similar, and details are not described herein again.

[0175] Optionally, the embodiment of the application further provides an automatic driving system, and the automatic driving system is used for executing any of the methods.

[0176] The automatic driving system provided by the embodiment of the application can be used for executing the above Figures 1 to 8 The technical solutions of the embodiments shown, the implementation principles and the technical effects are similar, and details are not described herein again.

[0177] Figure 10 A structural schematic diagram of an electronic device provided by the embodiment of the application is shown in FIG. 1. Figure 10 The electronic device of the embodiment shown can comprise:

[0178] at least one processor 1001; and

[0179] a memory 1002 in communication connection with the at least one processor;

[0180] The memory 1002 stores instructions executable by the at least one processor 1001, and the instructions are executed by the at least one processor 1001 to enable the electronic device to execute the method of any of the above embodiments.

[0181] Optionally, the memory 1002 can be independent or integrated with the processor 1001. Optionally, the memory 1002 can be connected with the processor 1001 through a bus 1003.

[0182] The implementation principles and the technical effects of the electronic device provided by the embodiment can be referred to the above-mentioned embodiments, and details are not described herein again.

[0183] The embodiment of the application further provides a computer readable storage medium, and the computer readable storage medium stores computer execution instructions, and when the processor executes the computer execution instructions, the method of any of the above embodiments is implemented.

[0184] The embodiment of the present application further provides a computer program product comprising a computer program which, when executed by a processor, implements the method of any of the preceding embodiments.

[0185] In the technical solution of the present application, the collection, storage, use, processing, transmission, provision and disclosure of various information of users and merchants comply with relevant laws and regulations and do not violate public order and good customs.

[0186] In several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other manners. For example, the above-described device embodiments are merely schematic. For example, the division of the modules is merely a logical function division. There can be another division manner for actual implementation. For example, a plurality of modules or features can be combined or integrated into another system, or some features can be ignored or not executed.

[0187] The integrated modules implemented in the form of software function modules can be stored in a computer-readable storage medium. The software function modules stored in the storage medium can include a number of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor to perform some of the steps of the methods described in the various embodiments of the present application.

[0188] It should be understood that the processor can be a central processing unit (CPU), or can also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), or the like. The general-purpose processor can be a microprocessor, or the processor can also be any conventional processor. The steps of the methods disclosed in the present application can be directly embodied as hardware processor execution, or a combination of hardware and software modules in the processor to execute. The memory can include a high-speed RAM memory, and can also include a non-volatile storage NVM, such as at least one disk memory, and can also be a U disk, a mobile hard disk, a read-only memory, a magnetic disk or an optical disk, etc.

[0189] The storage medium can be implemented by any type of volatile or non-volatile storage devices or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. The storage medium can be any available medium that can be accessed by a general or special-purpose computer.

[0190] An exemplary storage medium is coupled to the processor such that the processor can read information from, and can write information to, the storage medium. Of course, the storage medium can be a part of the processor. Consistent with the teachings provided herein, the processor can execute instructions embodied by computer code stored on the storage medium, and the storage medium can store computer code which, when executed by the processor, causes the processor to perform methods as described herein. The processor and the storage medium can be supplemented by, or incorporated in, ASICs (application- specific integrated circuits).

[0191] It should be noted that, as used in this document, the terms "includes," "including," "has," "having," or the like are generally intended to be open-ended: they do not exclude additional unrecited elements or additional ones of the recited elements. In other words, a process, method, article, or apparatus that includes a list of elements is not limited to only those elements but can include other elements not expressly listed or inherent to such process, method, article, or apparatus.

[0192] The above-mentioned sequence numbers of the embodiments of the present application are only for description, and do not represent advantages or disadvantages of the embodiments.

[0193] Those skilled in the art can clearly understand the above-mentioned embodiment method from the description of the embodiments that the above-mentioned embodiment method can be realized by software and necessary general hardware platform, of course, it can also be realized by hardware, but in many cases, the former is a better embodiment. Based on such understanding, the technical solutions of the present application can be embodied in the form of a software product, and the computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, or optical disk), and includes a plurality of instructions for making a terminal device (which can be a mobile phone, a computer, a server, an air conditioner, or a network device) execute the methods described in the various embodiments of the present application.

[0194] The above are only preferred embodiments of the present application, and do not limit the patent scope of the present application, and any equivalent structure or equivalent process transformation, or direct or indirect application in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. An information processing method, characterized in that, The method includes: In response to determining that a target object has a backlight scene on the current navigation route, backlight forecast information is determined based on the target object's current position and the backlight road segment corresponding to the backlight scene; the backlight forecast information is updated based on the change of the target object's position during its movement, wherein the backlight forecast information includes the distance of the target object entering the backlight road segment and / or the time of the target object entering the backlight road segment; Based on the backlight forecast information, generate backlight reminder information and / or backlight reminder instructions; The backlight reminder information is used to remind users of backlight conditions on the navigation route, and the backlight reminder command is used to instruct the autonomous driving sensors to adjust the amount of light entering the system. The backlighting scene includes a continuous backlighting scene; the continuous backlighting scene refers to a backlighting scene formed when the length of the backlighting road segment is greater than a preset length threshold, and the method further includes: Obtain multiple location points within a preset distance from the current location of the target object to the current navigation route, and the road directions corresponding to the multiple location points; For each of the plurality of location points, based on the travel status of the target object and the road direction corresponding to the location point, it is determined whether the backlighting geometric condition is met when the target object arrives at the location point; the backlighting geometric condition is used to represent the judgment condition for the formation of the geometric relationship to achieve backlighting; If true, then based on the weather information corresponding to the location area where the location point is located, in response to determining that the length of the road segment formed by the location point with continuous backlight is greater than a preset length threshold, it is determined that the target object has a backlight scene on the current navigation route; wherein, the road segment formed by the location point with continuous backlight is the backlight road segment corresponding to the backlight scene.

2. The method according to claim 1, characterized in that, Based on the current location of the target object and the backlit road segment corresponding to the backlit scene, backlit forecast information is determined, including: Based on the current location of the target object and the backlit road segment, determine the distance at which the target object enters the backlit road segment; and / or, Based on the current location of the target object, the obtained travel status of the target object, and the backlit road segment, determine the time when the target object enters the backlit road segment; The distance at which the target object enters the backlit road section and / or the time at which the target object enters the backlit road section are used as backlight forecast information.

3. The method according to claim 2, characterized in that, Based on the backlight forecast information, generate backlight reminder information and / or backlight reminder instructions, including: Based on the backlight forecast information, determine the timing for triggering the backlight reminder; When the backlight warning is triggered according to the aforementioned timing, a backlight warning message and / or a backlight warning instruction matching the backlight forecast information is generated.

4. The method according to claim 3, characterized in that, Based on the backlight forecast information, the timing for triggering the backlight alert is determined, including: Based on the distance of the target object entering the backlight section and / or the time of the target object entering the backlight section in the backlight forecast information, the timing for triggering the backlight reminder is determined by comparing it with a preset distance threshold and / or time threshold.

5. The method according to any one of claims 1-4, characterized in that, The method further includes: If this is not the case, then the location point is determined to be not backlit.

6. The method according to claim 5, characterized in that, Based on the target object's movement status and the road direction corresponding to the location point, determine whether the backlighting geometry condition is met when the target object reaches the location point, including: Based on the location point and the travel status of the target object, determine the time when the target object arrives at the location point, and based on the time and the location point, determine the elevation angle and horizontal angle of the sunlight in the horizontal coordinate system at the corresponding time and location point; Based on the road direction and road slope, determine the first horizontal angle range and the first vertical angle range of the autonomous driving sensor in the horizontal coordinate system of the current location area; and / or, based on the road direction, road slope, and attribute information of the target object, determine the second horizontal angle range and the second vertical angle range of the alerted object in the horizontal coordinate system of the current location area; If the elevation angle is within the range of the first vertical angle and the horizontal angle is within the range of the first horizontal angle, and / or if the elevation angle is within the range of the second vertical angle and the horizontal angle is within the range of the second horizontal angle, then it is determined that the backlighting geometry condition is met when the target object reaches the position point.

7. The method according to claim 5, characterized in that, The preset distance includes a first preset distance and a second preset distance; the method further includes: If the current navigation state is "navigation started", then the preset distance is determined to be the first preset distance; If the current navigation status is in progress, then the preset distance is determined to be the second preset distance; The first preset distance is less than a preset distance threshold, and the second preset distance is greater than the preset distance threshold; the preset distance threshold is used to provide a basis for determining the timing of triggering the backlight reminder.

8. An information processing device, characterized in that, include: The backlight forecast information determination module is used to determine backlight forecast information based on the current location of the target object and the backlight road segment corresponding to the backlight scene in response to determining that there is a backlight scene on the current navigation route; The backlight forecast information is updated based on the change in the position of the target object during its movement, wherein the backlight forecast information includes the distance of the target object entering the backlight section and / or the time of the target object entering the backlight section; The backlight warning module is used to generate backlight warning information and / or backlight warning instructions based on the backlight forecast information; The backlight reminder information is used to remind users of backlight conditions on the navigation route, and the backlight reminder command is used to instruct the autonomous driving sensors to adjust the amount of light entering the system. The backlight scene includes a continuous backlight scene; the continuous backlight scene refers to a backlight scene formed when the length of the backlight road segment is greater than a preset length threshold; the information processing device further includes a backlight scene determination module, used for: Obtain multiple location points within a preset distance from the current location of the target object to the current navigation route, and the road directions corresponding to the multiple location points; For each of the plurality of location points, based on the travel status of the target object and the road direction corresponding to the location point, it is determined whether the backlighting geometric condition is met when the target object arrives at the location point; the backlighting geometric condition is used to represent the judgment condition for the formation of the geometric relationship to achieve backlighting; If true, then based on the weather information corresponding to the location area where the location point is located, in response to determining that the length of the road segment formed by the location point with continuous backlight is greater than a preset length threshold, it is determined that the target object has a backlight scene on the current navigation route; wherein, the road segment formed by the location point with continuous backlight is the backlight road segment corresponding to the backlight scene.

9. A map navigation system, characterized in that, The map navigation system is used to perform the method according to any one of claims 1-7.

10. A vehicle-mounted device, characterized in that, include: The vehicle-mounted device is equipped with the map navigation system as described in claim 9.

11. An autonomous driving system, characterized in that, The autonomous driving system is used to perform the method according to any one of claims 1-7.

12. An electronic device, characterized in that, include: At least one processor; as well as A memory that is communicatively connected to the at least one processor; The memory stores instructions executable by the at least one processor, which, when executed by the at least one processor, cause the electronic device to perform the method according to any one of claims 1-7.

13. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the method as described in any one of claims 1-7.

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