Method, device, vehicle and storage medium for providing intelligent driving information

Abstract

The application relates to a method, device, vehicle and storage medium for providing intelligent driving information. The method comprises the following steps: A, predicting a driving direction of a vehicle at a next moment based on a vehicle operation state or navigation information; B, determining a detection area of interest based on the predicted driving direction; and C, generating a prompt signal about driving safety based on a state of an object in the detection area of interest. The scheme for providing intelligent driving information can improve detection efficiency and accuracy, and can effectively avoid the occurrence of critical situations when the vehicle intends to turn. On the other hand, a good driving environment can also be actively created, and driving safety is further improved.

Description

Technical Field

[0001] This invention relates to vehicle control technology, and more specifically to a method, apparatus, vehicle, and storage medium for providing intelligent driving information. Background Technology

[0002] Currently in the field of intelligent driving, when a vehicle detects dangerous behavior in the detection area (such as pedestrians or vehicles occupying the lane, the vehicle in front crossing the line, or animals appearing in remote roads), there is usually no good way to handle it, which leads to frequent occurrences of low vehicle traffic efficiency, obstructed overtaking, or dangerous overtaking situations.

[0003] Furthermore, with the development of detection technology, the detection range of vehicle sensors is becoming increasingly larger. However, not all detection areas are equally important for different driving tasks. If objects within the entire detection range of the sensor are to be identified, it will result in low detection efficiency and high power consumption. Summary of the Invention

[0004] According to one aspect of the present invention, a method for providing intelligent driving information is provided, the method comprising the steps of: A) predicting the vehicle's direction of travel at the next moment based on the vehicle's operating state or navigation information; B) determining a detection area of ​​interest based at least on the predicted direction of travel; and C) generating a warning signal regarding driving safety based on the state of objects within the detection area of ​​interest.

[0005] As an alternative or supplement to the above solutions, in a method according to an embodiment of the present invention, the vehicle operating state includes one or more of the following: steering wheel angle, turn signal on / off state, and gear position.

[0006] As an alternative or supplement to the above solutions, in a method according to an embodiment of the present invention, the state of the object includes the relative distance and motion state of traffic participants.

[0007] As an alternative or supplement to the above scheme, in a method according to an embodiment of the present invention, step B includes: B1, determining a base region based on a predicted travel direction; and B2, adjusting the base region based on at least one of the following to obtain a detection region of interest: the current environmental state, the current driving state, and user input.

[0008] As an alternative or supplement to the above solutions, in a method according to an embodiment of the present invention, in step B2, the detection region of interest is defined by a lateral detection distance X and a longitudinal detection distance Y, which are determined by the following formula:

[0009]

[0010] Here, K, A, and B are preset parameters, and L is the width of the vehicle front. The environmental complexity factor is used to characterize the current environmental state, where v is the current vehicle speed.

[0011] As an alternative or supplement to the above solutions, in a method according to an embodiment of the present invention, the environmental complexity factor... Determined by the following formula:

[0012]

[0013] here, As a weather factor, For the number of lanes, This is the road type factor.

[0014] As an alternative or supplement to the above solutions, in a method according to an embodiment of the present invention, in step A, the vehicle's direction of travel at the next moment is predicted as follows: if the left turn signal is on or the left steering wheel angle is greater than or equal to a first threshold, and the gear is in drive, then the vehicle is predicted to turn left forward at the next moment; if the right turn signal is on or the right steering wheel angle is greater than or equal to the first threshold, and the gear is in drive, then the vehicle is predicted to turn right forward at the next moment; if the left turn signal is on or the left steering wheel angle is greater than or equal to the first threshold, and the gear is in drive, then the vehicle is predicted to turn right forward at the next moment; if the left turn signal is on or the left steering wheel angle is greater than or equal to the first threshold, and the gear is in drive... If the vehicle is in reverse gear, it is predicted that it will turn left in the next moment; if the right turn signal is on or the right steering wheel angle is greater than or equal to the first threshold and the gear is in reverse gear, it is predicted that the vehicle will turn right in the next moment; if neither the left nor right turn signal is on, both the left and right steering wheel angles are less than the first threshold and the gear is in drive, it is predicted that the vehicle will move forward in the next moment; and if neither the left nor right turn signal is on, both the left and right steering wheel angles are less than the first threshold and the gear is in reverse gear, it is predicted that the vehicle will move backward in the next moment.

[0015] As an alternative or supplement to the above solutions, in a method according to an embodiment of the present invention, in step B1, the basic region is determined as follows: when it is predicted that the vehicle will turn left forward in the next moment, the left side and front area of ​​the vehicle are determined as the basic region; when it is predicted that the vehicle will turn right forward in the next moment, the right side and front area of ​​the vehicle are determined as the basic region; when it is predicted that the vehicle will turn left backward in the next moment, the left side and rear area of ​​the vehicle are determined as the basic region; when it is predicted that the vehicle will turn right backward in the next moment, the right side and rear area of ​​the vehicle are determined as the basic region; when it is predicted that the vehicle will move forward in the next moment, the front area of ​​the vehicle is determined as the basic region; and when it is predicted that the vehicle will move backward in the next moment, the rear area of ​​the vehicle is determined as the basic region.

[0016] According to another aspect of the invention, an apparatus for providing intelligent driving information is provided, comprising: a memory; a processor; and a computer program stored in the memory and executable on the processor, the computer program causing the following steps to be performed: A. predicting the vehicle's direction of travel at the next moment based on vehicle operating status or navigation information; B. determining a detection area of ​​interest based at least on the predicted direction of travel; and C. generating a warning signal regarding driving safety based on the state of objects within the detection area of ​​interest.

[0017] As an alternative or supplement to the above solutions, in a device according to an embodiment of the present invention, the vehicle operating state includes one or more of the following: steering wheel angle, turn signal on / off state, and gear position.

[0018] As an alternative or supplement to the above solutions, in a device according to an embodiment of the present invention, the state of the object includes the relative distance and motion state of traffic participants.

[0019] As an alternative or supplement to the above solutions, in an apparatus according to an embodiment of the present invention, the operation of the computer program causes step B to be performed in the following manner: B1, determining a base region based on a predicted direction of travel; and B2, adjusting the base region based on at least one of the following to obtain a detection region of interest: the current environmental state, the current driving state, and user input.

[0020] As an alternative or supplement to the above solutions, in an apparatus according to an embodiment of the present invention, the execution of the computer program causes the detection region of interest in step B2 to be defined by a lateral detection distance X and a longitudinal detection distance Y, wherein the lateral detection distance X and the longitudinal detection distance Y are determined by the following formula:

[0021]

[0022] Here, K, A, and B are preset parameters, and L is the width of the vehicle front. The environmental complexity factor is used to characterize the current environmental state, where v is the current vehicle speed.

[0023] As an alternative or supplement to the above solutions, in a device according to an embodiment of the present invention, the environmental complexity factor... Determined by the following formula:

[0024]

[0025] here, As a weather factor, For the number of lanes, This is the road type factor.

[0026] As an alternative or supplement to the above solutions, in an apparatus according to an embodiment of the present invention, the execution of the computer program causes step A to be performed in the following manner: if the left turn signal is on or the left steering wheel angle is greater than or equal to a first threshold, and the gear is in drive, then it is predicted that the vehicle will turn left forward at the next moment; if the right turn signal is on or the right steering wheel angle is greater than or equal to the first threshold, and the gear is in drive, then it is predicted that the vehicle will turn right forward at the next moment; if the left turn signal is on or the left steering wheel angle is greater than or equal to the first threshold, and the gear is in drive, then it is predicted that the vehicle will turn right forward at the next moment; if the left turn signal is on or the left steering wheel angle is greater than or equal to the first threshold, and the gear is in drive... If the vehicle is in reverse gear, it is predicted that it will turn left in the next moment; if the right turn signal is on or the right steering wheel angle is greater than or equal to the first threshold and the gear is in reverse gear, it is predicted that the vehicle will turn right in the next moment; if neither the left nor right turn signal is on, both the left and right steering wheel angles are less than the first threshold and the gear is in drive, it is predicted that the vehicle will move forward in the next moment; and if neither the left nor right turn signal is on, both the left and right steering wheel angles are less than the first threshold and the gear is in reverse gear, it is predicted that the vehicle will move backward in the next moment.

[0027] As an alternative or supplement to the above solutions, in an apparatus according to an embodiment of the present invention, the operation of the computer program causes step B1 to be performed in the following manner: when it is predicted that the vehicle will turn left forward in the next moment, the left side and front area of ​​the vehicle are determined as the base area; when it is predicted that the vehicle will turn right forward in the next moment, the right side and front area of ​​the vehicle are determined as the base area; when it is predicted that the vehicle will turn left backward in the next moment, the left side and rear area of ​​the vehicle are determined as the base area; when it is predicted that the vehicle will turn right backward in the next moment, the right side and rear area of ​​the vehicle are determined as the base area; when it is predicted that the vehicle will move forward in the next moment, the front area of ​​the vehicle is determined as the base area; and when it is predicted that the vehicle will move backward in the next moment, the rear area of ​​the vehicle is determined as the base area.

[0028] According to another aspect of the invention, a vehicle is provided, characterized in that the vehicle includes: an apparatus according to any embodiment of an aspect of the invention; and a prompting device configured to send the prompting signal to the object in the detection area of ​​interest.

[0029] According to another aspect of the invention, a computer-readable storage medium is provided that stores program instructions executable by a processor, which, when executed by the processor, perform the method described in any embodiment of one aspect of the invention.

[0030] On the one hand, the solution for providing intelligent driving information proposed in this invention can determine the vehicle's intended direction of travel based on vehicle information (e.g., current gear position, whether the turn signal is on, or steering wheel angle), and determine the detection area based on the direction of travel, thereby improving detection efficiency and accuracy, especially in effectively preventing dangerous situations when the vehicle intends to turn. On the other hand, when the vehicle detects dangerous behavior, it can send warning signals to objects within the detection area (e.g., through the horn or high beams), thereby proactively creating a favorable driving environment (e.g., lane changing, turning, overtaking, etc.), further improving driving safety. Attached Figure Description

[0031] The above and / or other aspects and advantages of the present invention will become clearer and more readily understood from the following description taken in conjunction with the accompanying drawings, in which like or similar elements are denoted by the same reference numerals. The drawings include:

[0032] Figure 1 This is a schematic flowchart of a method 10 for providing intelligent driving information according to an embodiment of the present invention;

[0033] Figure 2 A schematic block diagram of a device 20 for providing intelligent driving information according to an embodiment of the present invention; and

[0034] Figure 3 This is a schematic block diagram of a vehicle 30 according to an embodiment of the present invention. Detailed Implementation

[0035] In this specification, the invention is described more fully with reference to the accompanying drawings, which illustrate exemplary embodiments of the invention. However, the invention may be implemented in various forms and should not be construed as being limited to the embodiments given herein. The given embodiments are intended to make the disclosure herein complete and thorough, so as to more fully convey the scope of protection of the invention to those skilled in the art.

[0036] It should be noted that the terms "first," "second," etc., used in this document are used to distinguish similar objects and are not necessarily used to describe the order of objects in terms of time, space, size, etc. Furthermore, unless otherwise specified, the terms "including," "possessing," and similar expressions used in this document are intended to indicate non-exclusive inclusion.

[0037] The term "vehicle" or other similar terms used in this document include general motor vehicles, such as passenger cars (including SUVs, buses, trucks, etc.), various commercial vehicles, etc., and include hybrid electric vehicles, electric vehicles, plug-in hybrid electric vehicles, etc. A hybrid electric vehicle is a vehicle with two or more power sources, such as a gasoline-powered and an electric vehicle.

[0038] The term "object" in this article includes traffic participants such as vehicles, non-motorized vehicles (e.g., bicycles, electric vehicles), pedestrians, and animals.

[0039] In the following, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

[0040] Now for reference Figure 1 , Figure 1 This is a schematic flowchart of a method 10 for providing intelligent driving information according to an embodiment of the present invention. Figure 1 As shown, method 10 includes the following steps.

[0041] In step S100, the vehicle's direction of travel at the next moment is predicted based on the vehicle's operating status or navigation information.

[0042] For example, navigation information can come from maps (especially high-precision maps). Navigation information may include the following: destination, planned route, weather, lane markings, zebra crossing areas, traffic signs, traffic signals, road type, lane height restrictions, lane speed limits, and some road attribute information similar to traffic safety information, such as areas where GPS signals are lost, road construction status, road congestion status, etc. Optionally, in step S100, the vehicle's next travel direction can be predicted based on the planned route in the navigation information.

[0043] For example, the vehicle operating state can be one or more of the following: steering wheel angle, turn signal on / off status, and gear position. The vehicle operating state can originate from various sensors in the vehicle (e.g., millimeter-wave radar, lidar, monocular / dual-lens cameras, and satellite navigation), controllers in the vehicle (e.g., electronic control unit ECU), or cloud servers, etc.

[0044] Optionally, in step S100, the vehicle's direction of travel at the next moment can be predicted as follows: if the left turn signal is on or the left steering wheel angle is greater than or equal to a preset angle threshold (e.g., 45°), and the gear is in drive, then the vehicle is predicted to turn left forward at the next moment; if the right turn signal is on or the right steering wheel angle is greater than or equal to a preset threshold, and the gear is in drive, then the vehicle is predicted to turn right forward at the next moment; if the left turn signal is on or the left steering wheel angle is greater than or equal to a preset threshold, and the gear is in reverse... If the right turn signal is on or the right steering wheel angle is greater than or equal to a preset threshold, and the gear is in reverse, the vehicle is predicted to turn right. If neither the left nor right turn signal is on, both the left and right steering wheel angles are less than a first threshold, and the gear is in drive, the vehicle is predicted to move forward. If neither the left nor right turn signal is on, both the left and right steering wheel angles are less than a preset threshold, and the gear is in reverse, the vehicle is predicted to move backward. Optionally, to avoid driver error, a time-based enabling condition can be added for the above vehicle operation states. For example, the turn signal is considered valid only if it has been on for a certain period of time (e.g., the right turn signal has been on for 1 second).

[0045] The numerical range of the preset values ​​(e.g., preset angle thresholds) mentioned in this article can be set according to actual needs, and is not limited to the numerical range shown in this embodiment.

[0046] In step S110, the detection area of ​​interest is determined at least based on the predicted direction of travel. For example, the detection area may be defined as the area surrounding the vehicle on the same side as the predicted direction of travel.

[0047] Optionally, in step S110, the basic detection area can be determined first based on the predicted direction of travel (step S111), and then the basic detection area can be adjusted based on at least one of the current environmental state, the current driving state, and user input (step S112) to obtain the detection area of ​​interest.

[0048] For example, in step S111, the basic detection area can be determined as follows: when it is predicted that the vehicle will turn left forward in the next moment, the left side and front area of ​​the vehicle are determined as the basic area; when it is predicted that the vehicle will turn right forward in the next moment, the right side and front area of ​​the vehicle are determined as the basic area; when it is predicted that the vehicle will turn left backward in the next moment, the left side and rear area of ​​the vehicle are determined as the basic area; when it is predicted that the vehicle will turn right backward in the next moment, the right side and rear area of ​​the vehicle are determined as the basic area; when it is predicted that the vehicle will move forward in the next moment, the front area of ​​the vehicle is determined as the basic area; and when it is predicted that the vehicle will move backward in the next moment, the rear area of ​​the vehicle is determined as the basic area.

[0049] For example, in step S112, the lateral detection distance X and / or the longitudinal detection distance Y of the base region can be further adjusted to obtain the detection region of interest. For example, the lateral detection distance X and the longitudinal detection distance Y can be determined using the following formulas:

[0050]

[0051] Where K, A, and B are preset parameters, and L is the width of the vehicle front. The environment complexity factor characterizes the current environmental state, where v is the current vehicle speed. For example, the environment complexity factor... This can be related to the following factors: road type (e.g., expressway, Class I highway, Class II highway, Class III highway, Class IV highway, expressway, arterial road, secondary arterial road, local road, auxiliary road, service area, toll station, parking lot, plaza, etc.), number of lanes in the road traffic environment (e.g., two-way N lanes (N is a positive integer greater than 10), two-way ten lanes, two-way eight lanes, two-way six lanes, two-way four lanes, two-lane, single-lane, no lanes), and road traffic environment weather category (e.g., sunny, cloudy, overcast, rainy, thunderstorm, snowy, foggy, windy, sandstorm). For example, the environmental complexity factor... It can be composed of a weighted combination of the basic complexity of road type, number of lanes in road traffic environment, and meteorological category of road traffic environment.

[0052] For example, environmental complexity factor It can be determined by the following formula:

[0053]

[0054] in, As a weather factor, For the number of lanes, This refers to road type factors. For example, weather factors for weather types such as sunny, cloudy, overcast, rain, thunder, snow, fog, wind, and sandstorm. The values ​​can be 0, 1, 2, 3, 4, 5, 6, 4, 6; the lane number factor for lane numbers of N lanes (N is a positive integer greater than 10), ten lanes, eight lanes, six lanes, four lanes, two lanes, one lane, and no lanes. The values ​​can be 1, 2, 2.5, 3, 4, 5, 7, and 8 respectively; and these are road type factors for road types such as expressway, Class I highway, Class II highway, Class III highway, Class IV highway, expressway, arterial road, secondary arterial road, local road, auxiliary road, service area, toll station, parking lot, and plaza. The possible values ​​are 2, 3, 4, 5, 6, 3, 4, 5, 6, 5, 5, 6, 7.5, and 8.

[0055] The numerical range of complexity factors described in this article can be set according to actual needs and is not limited to the numerical range shown in this embodiment.

[0056] In step S120, a warning signal regarding driving safety can be generated based on the state of objects within the detection area of ​​interest. For example, the state of the object includes the relative distance and movement status of traffic participants. For instance, a corresponding warning signal can be generated when dangerous behavior of an object is detected (e.g., pedestrians or vehicles occupying the lane, vehicles crossing the lane lines, animals appearing in remote roads, etc.).

[0057] For example, the state of an object can be detected by various sensors in the vehicle (e.g., millimeter-wave radar, lidar, monocular / dual-lens cameras, and satellite navigation), or the detected results can be provided by a controller in the vehicle (e.g., an electronic control unit ECU) or a cloud server. For instance, a vehicle can be configured with a forward-view image sensor and radar providing a view of the vehicle's front; a left-view image sensor and radar providing a view of the vehicle's left; a right-view image sensor and radar providing a view of the vehicle's right; and a rear-view image sensor and radar providing a view of the vehicle's rear. The image sensors can be used to identify external objects around the vehicle, such as dangerous vehicles, while the radar can be used to detect the relative distance and motion state of external objects, including speed and acceleration. As another example, a vehicle can have surround-view cameras (e.g., panoramic fisheye cameras) mounted on the rearview mirrors or other parts of the vehicle body to provide a multi-directional view of the vehicle's surroundings. In this document, camera, lens, video camera, and camera module all refer to devices capable of acquiring images or videos within their coverage area; their meanings are similar and interchangeable, and the present invention does not limit their use.

[0058] For example, the above-mentioned warning signal can be transmitted to the driver through warning indicator lights, horn signals, loudspeaker prompts, etc., and the warning signal can also be transmitted to the detected dangerous object through horn, high beams, etc., so as to proactively create a good driving environment (e.g., lane changing, turning, overtaking, etc.).

[0059] Optionally, in step S120, when a dangerous behavior is detected, different prompt signals can be generated based on navigation information from the map. For example, if the navigation information indicates that honking is prohibited on the current road section, a prompt signal can be generated to flash the high beams when a dangerous behavior by the vehicle in front is detected (e.g., the vehicle in front crosses the line); if the navigation information indicates that honking is not prohibited on the current road section, a prompt signal can be generated first to flash the high beams, and if the dangerous behavior is not eliminated, a further prompt signal can be generated to provide an audible warning via the horn.

[0060] Optionally, in step 110 or 120, interference areas (e.g., pedestrian crossing areas, traffic jam areas) in the detection area of ​​interest can also be excluded based on navigation information from the map, etc., to prevent misjudgment of dangerous behavior (e.g., to avoid frequently alerting vehicles that are slowing down due to road congestion).

[0061] Continue to refer to Figure 2 , Figure 2 This is a schematic block diagram of a device for providing intelligent driving information according to an embodiment of the present invention. Figure 2 The apparatus shown can be used to implement Figure 1 The prompt signal generation process in the middle.

[0062] See Figure 2 The device 20 includes a communication unit 210, a memory 220 (e.g., a non-volatile memory such as flash memory, ROM, hard disk drive, disk, optical disk, etc.), a processor 230 (e.g., a microprocessor, microcontroller, etc.), and a computer program 240 stored on the memory 220 and executable on the processor 230.

[0063] The communication unit 210 serves as a communication interface and is configured to establish a communication connection between the device and an external device or network (e.g., a vehicle sensor, an electronic control unit ECU, or a server).

[0064] Memory 220 stores a computer program 240 that can be executed by processor 230. Processor 230 is configured to execute computer program 240 to implement a corresponding prompt signal generation process. The prompt signal generation process has been described in detail above and will not be repeated here.

[0065] In one or more embodiments of the present invention, the above-mentioned components (e.g., devices, apparatuses, or units) may be standalone devices or may be integrated into processing devices such as electronic control units (ECUs), domain control units (DCUs).

[0066] For example, the aforementioned device 20 can be integrated into an ADAS system. An ADAS system, also known as an advanced driver assistance system, utilizes various sensors installed on the vehicle (e.g., millimeter-wave radar, lidar, monocular / dual-lens cameras, and satellite navigation) to continuously sense the surrounding environment while the vehicle is in motion, collect data, identify, detect, and track static and dynamic objects, and combine this data with navigation map data to perform system calculations and analysis. This allows the driver to anticipate potential dangers, effectively increasing driving comfort and safety.

[0067] Figure 3 A schematic block diagram of a vehicle according to one embodiment of the present invention is shown. Figure 3 As shown, vehicle 30 includes a control device 310 and a prompting device 320. The control device 310 can be, for example, as shown below. Figure 2 The illustrated device 20. The alerting device 320 can be configured to send an alert signal to an object within a detection area of ​​interest. Exemplarily, the alerting device 320 may be a high beam headlight, a horn, or a communication device capable of communicating with other vehicles.

[0068] According to another aspect of the invention, a computer-readable storage medium is provided having program instructions stored thereon that are executable by a processor, the program instructions, when executed by the processor, perform a method for providing intelligent driving information according to any embodiment of one aspect of the invention.

[0069] It should be understood that some block diagrams shown in the accompanying drawings of this invention are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor devices and / or microcontroller devices.

[0070] It should also be understood that, in some alternative embodiments, the functions / steps included in the foregoing method may not occur in the order shown in the flowchart. For example, two functions / steps shown sequentially may be executed substantially simultaneously or even in reverse order. This depends specifically on the functions / steps involved.

[0071] Furthermore, those skilled in the art will readily understand that the methods for providing intelligent driving information provided in one or more embodiments of the present invention can be implemented by a computer program. For example, when a computer storage medium (e.g., a USB flash drive) containing the computer program is connected to a computer, running the computer program can execute the methods of one or more embodiments of the present invention.

[0072] While only some embodiments of the invention have been described above, those skilled in the art will understand that the invention can be implemented in many other forms without departing from its spirit and scope. Therefore, the examples and embodiments shown are to be considered illustrative rather than restrictive, and the invention may encompass various modifications and substitutions without departing from the spirit and scope of the invention as defined in the appended claims.

Claims

1. A method for providing intelligent driving information, characterized in that, Includes the following steps: A. Predict the vehicle's next direction of travel based on the vehicle's operating status or navigation information; B. Determine the region of interest based at least on the predicted direction of travel, wherein step B includes: B1. Determine the base area based on the predicted direction of travel; and B2. Adjust the base region based on at least one of the following to obtain the detection region of interest: current environmental state, current driving state, and user input, wherein the detection region of interest is defined by a lateral detection distance X and a longitudinal detection distance Y, and the lateral detection distance X and the longitudinal detection distance Y are determined by the following formula: Here, K, A, and B are preset parameters; L is the width of the vehicle front. To characterize the environmental complexity factor of the current environmental state, Related to road type, number of lanes in the road traffic environment, and weather category in the road traffic environment; v is the current vehicle speed; and C. Generate a warning signal regarding driving safety based on the state of objects within the detection area of ​​interest.

2. The method according to claim 1, wherein, The vehicle operating status includes one or more of the following: steering wheel angle, turn signal on / off status, and gear position.

3. The method according to claim 1, wherein, The state of the object includes the relative distance and motion state of traffic participants.

4. The method according to claim 1, wherein, The environmental complexity factor Determined by the following formula: here, As a weather factor, For the number of lanes, This is the road type factor.

5. The method according to claim 1, wherein, In step B1, the base region is determined as follows: When it is predicted that the vehicle will turn left forward in the next moment, the area to the left and in front of the vehicle is defined as the base area; When it is predicted that the vehicle will turn right forward in the next moment, the area to the right and in front of the vehicle is defined as the base area; When it is predicted that the vehicle will turn left in the next moment, the area to the left and behind the vehicle is defined as the base area; When it is predicted that the vehicle will turn right in the next moment, the area to the right and behind the vehicle is defined as the base area; When it is predicted that the vehicle will move forward in the next moment, the area in front of the vehicle is determined as the base area; and When it is predicted that the vehicle will move backward in the next moment, the area behind the vehicle is determined as the base area.

6. The method according to any one of claims 1-5, wherein, In step A, the vehicle's direction of travel at the next moment is predicted as follows: If the left turn signal is on or the left turn angle of the steering wheel is greater than or equal to the first threshold, and the gear is in drive, it is predicted that the vehicle will turn left forward in the next moment. If the right turn signal is on or the right turn angle of the steering wheel is greater than or equal to the first threshold, and the gear is in drive, then it is predicted that the vehicle will turn right forward in the next moment. If the left turn signal is on or the left turn angle of the steering wheel is greater than or equal to the first threshold, and the gear is in reverse, it is predicted that the vehicle will turn left in the next moment. If the right turn signal is on or the right turn angle of the steering wheel is greater than or equal to the first threshold, and the gear is in reverse, it is predicted that the vehicle will turn right in the next moment. If neither the left nor right turn signal is turned on, the left and right steering wheel angles are both less than the first threshold, and the gear is in drive, then it is predicted that the vehicle will move forward in the next moment. as well as If neither the left nor right turn signal is activated, the left and right steering wheel angles are both less than the first threshold, and the gear is in reverse, then it is predicted that the vehicle will move backward in the next moment.

7. A device for providing intelligent driving information, comprising: Memory; processor; as well as A computer program stored in the memory and executable on the processor, the execution of which causes the following steps to be performed: A. Predict the vehicle's next direction of travel based on the vehicle's operating status or navigation information; B. Determine the region of interest based at least on the predicted direction of travel, wherein step B includes: B1. Determine the base area based on the predicted direction of travel; and B2. Adjust the base region based on at least one of the following to obtain the detection region of interest: current environmental state, current driving state, and user input, wherein the detection region of interest is defined by a lateral detection distance X and a longitudinal detection distance Y, and the lateral detection distance X and the longitudinal detection distance Y are determined by the following formula: Here, K, A, and B are preset parameters; L is the width of the vehicle front. To characterize the environmental complexity factor of the current environmental state, Related to road type, number of lanes in the road traffic environment, and weather category in the road traffic environment; v is the current vehicle speed; and C. Generate a warning signal regarding driving safety based on the state of objects within the detection area of ​​interest.

8. The apparatus according to claim 7, wherein, The vehicle operating status includes one or more of the following: steering wheel angle, turn signal on / off status, and gear position.

9. The apparatus according to claim 7, wherein, The state of the object includes the relative distance and motion state of traffic participants.

10. The apparatus according to claim 7, wherein, The environmental complexity factor Determined by the following formula: here, As a weather factor, For the number of lanes, This is the road type factor.

11. The apparatus according to claim 7, wherein, The execution of the computer program causes step B1 to be performed in the following manner: When it is predicted that the vehicle will turn left forward in the next moment, the area to the left and in front of the vehicle is defined as the base area; When it is predicted that the vehicle will turn right forward in the next moment, the area to the right and in front of the vehicle is defined as the base area; When it is predicted that the vehicle will turn left in the next moment, the area to the left and behind the vehicle is defined as the base area; When it is predicted that the vehicle will turn right in the next moment, the area to the right and behind the vehicle is defined as the base area; When it is predicted that the vehicle will move forward in the next moment, the area in front of the vehicle is determined as the base area; and When it is predicted that the vehicle will move backward in the next moment, the area behind the vehicle is determined as the base area.

12. The apparatus according to any one of claims 7-11, wherein, The computer program causes step A to be performed in the following manner: If the left turn signal is on or the left turn angle of the steering wheel is greater than or equal to the first threshold, and the gear is in drive, it is predicted that the vehicle will turn left forward in the next moment. If the right turn signal is on or the right turn angle of the steering wheel is greater than or equal to the first threshold, and the gear is in drive, then it is predicted that the vehicle will turn right forward in the next moment. If the left turn signal is on or the left turn angle of the steering wheel is greater than or equal to the first threshold, and the gear is in reverse, it is predicted that the vehicle will turn left in the next moment. If the right turn signal is on or the right turn angle of the steering wheel is greater than or equal to the first threshold, and the gear is in reverse, it is predicted that the vehicle will turn right in the next moment. If neither the left nor right turn signal is turned on, the left and right steering wheel angles are both less than the first threshold, and the gear is in drive, then it is predicted that the vehicle will move forward in the next moment. as well as If neither the left nor right turn signal is activated, the left and right steering wheel angles are both less than the first threshold, and the gear is in reverse, then it is predicted that the vehicle will move backward in the next moment.

13. A vehicle, characterized in that, The vehicles include: The apparatus as described in any one of claims 7-12; and A prompting device configured to send the prompting signal to the object within the detection area of ​​interest.

14. A computer-readable storage medium storing instructions, characterized in that, When the instruction is executed by the processor, it causes the processor to perform the method as described in any one of claims 1-6.

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