Method and device for controlling vehicle operating state

Abstract

The present application discloses a method for controlling the operating state of a vehicle, characterized in that the method includes: obtaining vehicle information of a target vehicle, the vehicle information including at least one of brand information, license plate information, and size information; estimating the amount of damage that would be incurred if a traffic accident occurred between the host vehicle and the target vehicle based on the vehicle information; and when the amount of damage is greater than a preset threshold, controlling the operation of the host vehicle so that the target vehicle is located outside the safety range of the host vehicle. The method for controlling the operating state of a vehicle is used to reduce traffic accidents that result in large amounts of damage.

Description

Technical Field

[0001] The present invention relates to the field of vehicle control, and in particular to a method and device for controlling the running state of a vehicle. Background Art

[0002] With the advancement of technology, cars have become a daily necessity. As people's demands for automotive functionality continue to rise, intelligent driving systems have emerged. In intelligent driving systems, machines can assist drivers during driving, or even take over the driving process. Intelligent driving systems can control vehicle operation by assessing the vehicle's surroundings or the driver's preferences. For example, adaptive cruise control systems can maintain a certain distance from the vehicle ahead on stable highways and automatically accelerate or decelerate based on the preceding vehicle's acceleration or deceleration. Automatic braking systems can automatically assist the driver in braking when sensors on the vehicle's front detect pedestrians or foreign objects ahead. Intelligent driving systems can control vehicle operation, improving travel efficiency and reducing traffic accidents by enhancing driving safety. Therefore, their ability to control vehicle operation has garnered significant attention.

[0003] In the prior art, intelligent driving systems typically control vehicle operating states by setting the vehicle to a fixed state or adjusting it based on the speed of the preceding vehicle. Furthermore, once the intelligent driving system is developed, changing the control method is quite difficult. When controlling vehicle operating states, such as controlling vehicle distance, the vehicle distance is typically set to one or several fixed values selectable by the driver, or the vehicle distance is linked to the speed of the preceding vehicle. However, in actual applications, the applicant has discovered that the prior art intelligent driving systems lack specificity in controlling vehicle operating states, resulting in significant losses in the event of traffic accidents. Summary of the Invention

[0004] In view of this, embodiments of the present application provide a method and apparatus for controlling the operating state of a vehicle, so as to reduce traffic accidents that cause large losses.

[0005] In a first aspect, an embodiment of the present application provides a method for controlling a vehicle operating state, characterized in that the method includes:

[0006] Acquiring vehicle information of a target vehicle, the vehicle information including at least one of brand information, license plate information, and size information;

[0007] estimating the amount of loss that would be incurred if a traffic accident occurs between the vehicle and the target vehicle based on the vehicle information of the target vehicle;

[0008] When the loss amount is greater than a preset threshold, the vehicle is controlled to operate so that the target vehicle is located outside the safety range of the vehicle.

[0009] In a second aspect, an embodiment of the present application provides a device for controlling a vehicle operating state, characterized in that the device includes:

[0010] an information acquisition unit, configured to acquire vehicle information of a target vehicle, wherein the vehicle information includes at least one of brand information, license plate information, and size information;

[0011] a loss estimation unit, configured to estimate the amount of loss that would be incurred if a traffic accident occurs between the vehicle and the target vehicle based on the vehicle information of the target vehicle;

[0012] A vehicle control unit is used to control the operation of the vehicle according to the loss amount so that the target vehicle is located outside the safety range of the vehicle.

[0013] The embodiments of the present application have the beneficial effect of reducing traffic accidents that cause large amounts of losses.

[0014] In an embodiment of the present application, the obtained vehicle information of the target vehicle, including at least one of the brand, license plate, and dimensions, can provide a basis for determining the amount of damage that would be incurred if a vehicle-damage accident occurred between the subject vehicle and the target vehicle. Vehicle information includes at least one of the brand, license plate, and dimensions. Target vehicles with different vehicle information will incur different amounts of damage in the event of a damage accident. For example, after a luxury car is damaged, repair costs may be high due to its high price. After a vehicle is damaged without insurance, the owner of the vehicle bears the majority of the compensation. After a large, heavy-duty vehicle is damaged, the vehicle's weight may cause a more severe accident, resulting in significant damage. When faced with a target vehicle that could result in significant damage, the driver may experience significant psychological stress due to emotional tension, or passengers in the vehicle may interfere with the driver's operation due to emotional tension, thereby affecting driving safety and increasing the likelihood of a damage accident. Therefore, the vehicle information of the target vehicle can be used to determine whether the target vehicle would incur significant damage in the event of a damage accident.

[0015] In an embodiment of the present application, the amount of damage that would be incurred if a vehicle damage accident occurred between the host vehicle and the target vehicle is determined based on the vehicle information of the target vehicle; and the host vehicle's operation is controlled based on the loss amount to keep the target vehicle outside the host vehicle's safety range. The loss amount can be used to identify target vehicles that are likely to cause significant damage if they were to cause a vehicle damage accident with the host vehicle, and the host vehicle's operating state can be controlled in a targeted manner to keep the target vehicle outside the host vehicle's safety range, thereby reducing the likelihood of vehicle damage accidents that result in significant damage. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a flow chart of a method for controlling vehicle operating status according to an embodiment of the present application;

[0017] Figure 2 This is a flow chart of a method for controlling a vehicle operating state according to another embodiment of the present application;

[0018] Figure 3 This is a flow chart of a method for controlling a vehicle operating state according to another embodiment of the present application;

[0019] Figure 4 This is a flow chart of a method for controlling a vehicle operating state according to another embodiment of the present application;

[0020] Figure 5a This is a schematic diagram of a scenario where the front car is a luxury car;

[0021] Figure 5b This is a flow chart of a method for controlling a vehicle operating state according to another embodiment of the present application;

[0022] Figure 6 This is a schematic diagram of the structure of a device for controlling the operating status of a vehicle according to an embodiment of the present application. DETAILED DESCRIPTION

[0023] In order to facilitate understanding of the technical solution provided by the embodiment of the present application, a method and device for controlling the vehicle operating status provided by the embodiment of the present application are described below with reference to the accompanying drawings.

[0024] Although exemplary embodiments of the present application are shown in the accompanying drawings, it should be understood that the present application can be implemented in various forms and should not be limited by the embodiments described herein. Based on the embodiments in this application, other embodiments obtained by those skilled in the art without making any creative contribution are within the scope of protection of this application. The terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions.

[0025] In the prior art, the control method of the intelligent driving system for the vehicle's operating state is usually fixed or related to the speed of the preceding vehicle. However, no targeted consideration is taken for situations that may result in large losses, resulting in difficulty for the intelligent driving system to specifically control the vehicle's operating state, leading to large losses in the event of a traffic accident. In an embodiment of the present application, vehicle information of a target vehicle, including at least one of brand information, license plate information, and size information, is obtained, and based on the vehicle information of the target vehicle, the amount of loss that would be incurred if a traffic accident occurred between the host vehicle and the target vehicle is estimated. The host vehicle's operation is then targetedly controlled based on the amount of loss to keep the target vehicle outside the host vehicle's safety range, thereby reducing traffic accidents that result in large losses.

[0026] See also Figure 1 , Figure 1 This is a flow chart of a method for controlling vehicle operating status provided in an embodiment of the present application. Figure 1 As shown, the method for controlling the vehicle running state in the embodiment of the present application includes the following steps:

[0027] S101, obtaining vehicle information of a target vehicle, wherein the vehicle information includes at least one of brand information, license plate information, and size information;

[0028] In S101, the purpose of obtaining the target vehicle's vehicle information is to utilize at least one of the following vehicle information: brand information, license plate information, and size information, to provide a basis for determining the amount of damage that would result if a traffic accident occurred between the host vehicle and the target vehicle. Furthermore, to improve the accuracy of the estimated amount of damage, the vehicle information used may include multiple vehicle information including the target vehicle's brand information, license plate information, and size information. It is understood that whether or not multiple vehicle information is used as vehicle information does not affect the implementation of the embodiments of the present application.

[0029] S102: estimating the amount of loss that would be incurred if a traffic accident occurs between the host vehicle and the target vehicle based on the vehicle information of the target vehicle;

[0030] In S102, based on the vehicle information of the target vehicle, the amount of loss that would be incurred when a traffic accident occurs between the host vehicle and the target vehicle is estimated, providing a basis for targeted control of the operating state of the host vehicle.

[0031] S103: When the loss amount is greater than a preset threshold, control the vehicle to operate so that the target vehicle is outside the safety range of the vehicle.

[0032] In S103, the operating state of the host vehicle is controlled in a targeted manner based on the amount of the loss, so that the target vehicle is located outside the safety range of the host vehicle, thereby reducing traffic accidents that result in large losses. When the amount of loss is less than or equal to the preset threshold, the original operating state of the host vehicle may be maintained. However, it is understood that when the amount of loss is less than or equal to the preset threshold, how the operation of the host vehicle is controlled does not affect the implementation of the embodiments of the present application.

[0033] Furthermore, in embodiment S101 of the present application, the vehicle information of the target vehicle can be obtained by using a detector such as a camera or radar of the vehicle. The detector can be installed in a location convenient for obtaining the vehicle information. The detector can be used to obtain an image of the target vehicle, and image recognition processing can be performed on the image of the target vehicle to obtain the vehicle information of the target vehicle. It is understood that whether a detector is used, what type of detector is used, and how the detector is used to obtain the vehicle information does not affect the implementation of the embodiment of the present application.

[0034] Furthermore, in embodiment S101 of the present application, any one of brand information, license plate information, and size information may be used as the vehicle information; and to improve the accuracy of estimating the loss amount, multiple pieces of information among brand information, license plate information, and size information may be used as the vehicle information. It is understood that which piece of information is used as the vehicle information, or whether multiple pieces of vehicle information are used, does not affect the implementation of the embodiment of the present application.

[0035] Furthermore, in the embodiment S102 of the present application, after estimating the loss amount based on the vehicle information of the target vehicle, if it is determined that the vehicle information includes the license plate information of the target vehicle, the license plate number of the target vehicle can be extracted from the license plate information. Based on the license plate number, insurance information of the target vehicle, including the number of accidents and / or the insurance amount, is retrieved. Based on the number of accidents and / or the insurance amount, an additional loss amount is estimated. The additional loss amount is added to the loss amount to obtain a final loss amount, which is used as the loss amount that would be incurred if the subject vehicle were to be involved in a traffic accident with the target vehicle. The number of accidents can indicate the frequency of traffic accidents involving the target vehicle. After a traffic accident involving the target vehicle, the amount of compensation that the responsible vehicle owner must bear is related to the insurance amount. Therefore, when estimating the loss amount, the influence of the insurance information can be additionally considered. The additional loss amount obtained from the insurance information can be added to the loss amount estimated in S102. For example, a higher number of accidents can be set to correspond to a higher additional loss amount, while a lower insurance amount can be set to correspond to a higher additional loss amount. It is understandable that whether or not the additional loss amount generated by the insurance information is added after the loss amount is estimated based on the vehicle information of the target vehicle does not affect the implementation of the embodiment of the present application.

[0036] Furthermore, in the embodiment S103 of the present application, with regard to how to control the operation of the vehicle, in order to reduce the degree of influence of the target vehicle on the operating state of the vehicle, the vehicle can be controlled to change lanes when the amount of loss is greater than a preset threshold. When the vehicle is running in the current lane, a traffic accident with a large amount of loss may occur due to the influence of the target vehicle. By controlling the vehicle to change lanes, the vehicle can be guided away from the current lane and drive to a lane that is less affected by the target vehicle or is no longer affected by the target vehicle. For example, when the vehicle is behind the target vehicle, after changing lanes, the vehicle can accelerate away from the target vehicle and no longer be affected by the target vehicle. It can be understood that whether or not the method of controlling the vehicle to change lanes is adopted does not affect the implementation of the embodiment of the present application.

[0037] Furthermore, to improve driving safety, it is possible to determine whether the vehicle's state meets the lane change conditions before controlling the vehicle to change lanes. During a lane change, the vehicle and other vehicles, obstacles, pedestrians, and the like on the road may interact. If the vehicle changes lanes without ascertaining the surrounding environment, a traffic accident may occur. Therefore, after determining that the vehicle's state meets the lane change conditions, the vehicle is controlled to change lanes. It is understood that whether or not the vehicle's state meets the lane change conditions before controlling the vehicle to change lanes is determined does not affect the implementation of the embodiments of the present application.

[0038] Furthermore, in order to make the target vehicle outside the safety range of the vehicle when the state of the vehicle does not meet the lane-changing conditions, the distance between the vehicle and the target vehicle can be controlled to increase. When the state of the vehicle does not meet the lane-changing conditions, controlling the vehicle to change lanes may cause a traffic accident, and driving safety is low. At this time, the vehicle can be kept running in the current lane, and the distance between the vehicle and the target vehicle can be directly controlled to increase. By controlling the increase in the distance between the vehicle and the target vehicle, more accident buffer distance can be reserved for the vehicle when an accident may occur, and more reaction time can be reserved for the driver, thereby reducing vehicle damage accidents that cause large amounts of losses. It can be understood that whether the distance between the vehicle and the target vehicle is controlled to increase when the state of the vehicle does not meet the lane-changing conditions does not affect the implementation of the embodiments of the present application.

[0039] Furthermore, in Example S103 of the present application, regarding how to control the operation of the host vehicle, in order to ensure that the target vehicle is outside the host vehicle's safety range in a relatively short period of time, the distance between the host vehicle and the target vehicle can be directly increased when the loss amount exceeds a preset threshold. When a vehicle changes lanes, it is usually necessary to determine whether the driving environment meets the requirements in conjunction with the conditions in other lanes, and this involves the process of changing driving direction, which is time-consuming. However, when controlling the vehicle distance, there is generally no need to consider other lanes and it can be completed in a relatively short period of time. It is understandable that whether or not to increase the distance between the host vehicle and the target vehicle is controlled does not affect the implementation of the embodiments of the present application.

[0040] Furthermore, when the vehicle's state does not meet the lane change conditions, the distance between the vehicle and the target vehicle can be increased, or the distance between the vehicle and the target vehicle can be directly increased. The increased distance can be based on the amount of loss or set according to actual circumstances. For example, the distance between the vehicle and the target vehicle can be set to a multiple of the conventional safe distance of the vehicle's intelligent driving system, such as twice; or the distance can be increased by one vehicle body length based on the conventional safe distance of the vehicle's intelligent driving system. It is understood that the method of controlling the increase in the distance between the vehicle and the target vehicle does not affect the implementation of the embodiments of the present application.

[0041] Furthermore, in embodiment S103 of the present application, in order to improve the driver's participation in controlling the vehicle's driving state, before controlling the operation of the vehicle, the vehicle responds to a received manual intervention message. The intervention message may be issued by the driver after making a judgment based on the actual road conditions and driving environment. After receiving and responding to the manual intervention message, the vehicle controls the operation of the vehicle. Furthermore, the manual intervention message may be issued by the driver through a physical button on the vehicle, or may be obtained by converting the driver's voice command. It can be understood that whether or not a response is given to a received manual intervention message before controlling the operation of the vehicle, and what type of manual intervention message it is, does not affect the implementation of the embodiment of the present application.

[0042] Furthermore, in embodiment S103 of the present application, to improve driving safety, controlling the operation of the vehicle may include controlling the vehicle's operating speed. The vehicle's operating speed may be a pre-set fixed value, may correspond to the amount of loss, or may be determined based on the current vehicle operating environment. It is understood that the method for setting the vehicle's operating speed does not affect the implementation of the embodiment of the present application.

[0043] Furthermore, in the embodiment S103 of the present application, the safety range of the host vehicle can be preset in advance, for example, a fixed value is preset in advance as the safety range. When the loss amount is greater than a preset threshold, the host vehicle is controlled to operate so that the target vehicle is located outside the preset fixed value range. To further improve driving safety, the safety range can also be set to correspond to the loss amount. The safety range can also be determined based on the actual driving environment. For example, the safety range can be set to be associated with the current speed of the host vehicle and the target vehicle. It is understood that the method of setting the safety range of the host vehicle does not affect the implementation of the embodiment of the present application.

[0044] Furthermore, in the embodiment S103 of the present application, with regard to how to control the operation of the vehicle, after determining that the loss amount is greater than a preset threshold, the control mode for the vehicle can be switched to a special control mode. In the special control mode, the operating parameters of the vehicle are set to be related to the loss amount. In the case where the intelligent driving system controls the operation of the vehicle, the conventional control mode uses conventional control parameters. When it is determined that the loss amount is greater than a preset threshold, the control mode can be switched to control the operation of the vehicle in the special control mode; when the loss amount is less than or equal to the preset threshold, the conventional mode corresponding to the conventional algorithm is still used to control the operation of the vehicle. It can be understood that whether the operation of the vehicle is controlled by switching the mode does not affect the implementation of the embodiment of the present application.

[0045] exist Figure 1In the illustrated embodiment of the present application, vehicle information of at least one of the target vehicle, including brand information, license plate information, and size information, is obtained. Based on the target vehicle's vehicle information, the amount of damage that would be incurred if a vehicle damage accident occurred between the host vehicle and the target vehicle is estimated. Based on the amount of damage, the host vehicle's operation is controlled to keep the target vehicle outside the host vehicle's safety range. Compared to the prior art, the embodiment of the present application can determine the amount of damage that would be incurred if a traffic accident occurred based on the target vehicle's vehicle information, thereby enabling targeted control of the host vehicle's operation and reducing the likelihood of traffic accidents resulting in large amounts of damage.

[0046] The following describes how to estimate the amount of loss that would be incurred if a traffic accident occurs between the subject vehicle and the target vehicle based on the brand information in the target vehicle information. Figure 2 , Figure 2 This is a flow chart of a method for controlling vehicle operating status provided by another embodiment of the present application. Figure 2 As shown, the method for controlling the vehicle running state in the embodiment of the present application includes the following steps:

[0047] S201, obtaining brand information of a target vehicle;

[0048] S202: Obtain an estimated selling price of the target vehicle based on the brand information;

[0049] In S202, obtaining the estimated selling price serves to provide a basis for estimating the amount of loss. Because different brands of vehicles may have significant price differences, high-priced luxury cars typically incur significant losses in a traffic accident, while low-priced economy cars incur relatively small losses. Therefore, when estimating the amount of loss using the brand information of the target vehicle, the estimated selling price of the target vehicle can be first obtained based on the brand of the target vehicle, and then the estimated selling price can be used as a basis for estimating the amount of loss.

[0050] S203, estimating the amount of loss with reference to the estimated selling price;

[0051] In S203 , the purpose of estimating the loss amount with reference to the estimated selling price is to consider the impact of the target vehicle selling price on the loss amount when estimating the loss amount.

[0052] Furthermore, when estimating the amount of loss, a distinction can be made between target vehicles with high and low prices, such that target vehicles with high prices correspond to relatively high amounts of loss, and target vehicles with low prices correspond to relatively low amounts of loss. In addition, a factor affecting the size of the amount of loss may be the difference in prices between the subject vehicle and the target vehicle. Therefore, after obtaining the estimated selling price of the target vehicle, the estimated selling price and the selling price of the subject vehicle can be subtracted, and the amount of loss can be estimated based on the absolute value of the selling price difference. A high absolute value of the selling price difference corresponds to a high amount of loss, and a low absolute value of the selling price difference corresponds to a low amount of loss. It can be understood that how the amount of loss is estimated by reference to the estimated selling price does not affect the implementation of this embodiment.

[0053] S204: When the loss amount is greater than a preset threshold, control the vehicle to operate so that the target vehicle is outside the safety range of the vehicle.

[0054] In S204, when the loss amount is less than or equal to the preset threshold, the original operating state of the vehicle can be maintained, but it can be understood that when the loss amount is less than or equal to the preset threshold, how to control the operation of the vehicle does not affect the implementation of the embodiment of the present application.

[0055] exist Figure 2 In the embodiment of the present application shown, the estimated selling price of the target vehicle is obtained based on the brand information, and the loss amount is estimated with reference to the estimated selling price, fully considering the impact of the estimated selling price of the target vehicle on the loss amount, so as to control the vehicle in a targeted manner.

[0056] The following describes how to estimate the amount of damage that would occur if a traffic accident occurs between the host vehicle and the target vehicle based on the size information in the target vehicle information. Figure 3 , Figure 3 This is a flow chart of a method for controlling vehicle operating status provided by another embodiment of the present application. Figure 3 As shown, the method for controlling the vehicle running state in the embodiment of the present application includes the following steps:

[0057] S301, obtaining size information of a target vehicle;

[0058] S302: Calculate the estimated volume of the target vehicle based on the size information;

[0059] In S302, the purpose of obtaining the target vehicle's size information is to provide a basis for estimating the amount of damage. A larger target vehicle is likely to have a higher severity than a smaller target vehicle in a traffic accident with the host vehicle. Therefore, the target vehicle's size can provide a basis for estimating the amount of damage, and the target vehicle's size can be calculated based on the target vehicle's size.

[0060] S303: When the estimated volume is greater than a preset volume threshold, there is a linear relationship between the estimated value of the loss amount and the estimated volume of the target vehicle;

[0061] In S303, the purpose of determining whether the estimated volume is greater than the preset volume threshold is to improve the targeted control of the vehicle. Compared with everyday family cars, the severity of a traffic accident involving a larger target vehicle such as a heavy freight truck may be higher. When the estimated volume of the target vehicle is greater than the preset volume threshold, it can be assumed that the target vehicle is a larger vehicle and the loss threshold can be estimated for the target vehicle; without estimating the loss amount for each target vehicle. Therefore, when the vehicle information is the size information of the target vehicle, the vehicle can be controlled accordingly in the case where the target vehicle is a large vehicle, thereby improving the targeted control of the vehicle. When the estimated volume is less than or equal to the preset volume threshold, the original operating state of the vehicle can be maintained. However, it can be understood that when the loss amount is less than or equal to the preset threshold, how to control the operation of the vehicle does not affect the implementation of the embodiment of the present application.

[0062] In step S303, the linear relationship between the estimated loss amount and the estimated volume of the target vehicle is established so that the loss amount reflects the size of the target vehicle. When the estimated volume is greater than a preset volume threshold, the target vehicle is estimated to be a large vehicle. When a large vehicle is involved in a traffic accident with the host vehicle, the severity of the accident generally increases with the size of the large vehicle.

[0063] S304: When the loss amount is greater than a preset threshold, control the vehicle to operate so that the target vehicle is outside the safety range of the vehicle.

[0064] In S304, when the loss amount is less than or equal to the preset threshold, the original operating state of the vehicle can be maintained, but it can be understood that when the loss amount is less than or equal to the preset threshold, how to control the operation of the vehicle does not affect the implementation of the embodiment of the present application.

[0065] exist Figure 3In the embodiment of the present application shown, when the estimated volume is greater than a preset volume threshold, the loss amount is obtained based on the linear relationship between the estimated value of the loss amount and the estimated volume of the target vehicle, so that when the target vehicle is a larger-sized target vehicle, targeted control of the vehicle can be achieved.

[0066] The following describes how to estimate the amount of loss that would occur if a traffic accident occurs between the host vehicle and the target vehicle based on the license plate information in the target vehicle information. Figure 4 , Figure 4 This is a flow chart of a method for controlling vehicle operating status provided by another embodiment of the present application. Figure 4 As shown, the method for controlling the vehicle running state in the embodiment of the present application includes the following steps:

[0067] S401, obtaining the license plate information of the target vehicle;

[0068] S402, extracting the license plate number of the target vehicle from the license plate information;

[0069] In S402, the purpose of extracting the license plate number of the target vehicle is to provide a basis for determining whether the vehicle type of the target vehicle is a special type.

[0070] S403, judging whether the target vehicle is a preset special type vehicle based on the letters and / or words in the license plate number, if so, proceeding to S404; otherwise, ending the process;

[0071] S404: estimating the loss amount to be greater than a preset threshold;

[0072] In S404, estimating the loss amount to be greater than a preset threshold is intended to reduce the likelihood of traffic accidents involving the target vehicle and the special type of vehicle. Special type vehicles are typically used to perform important tasks, such as ambulances and fire trucks. Traffic accidents can hinder the completion of these important tasks, resulting in significant losses. When the target vehicle is determined to be a pre-set special type of vehicle, the estimated loss amount is directly set to a value greater than the preset threshold, thereby reducing the likelihood of traffic accidents involving the pre-set special type of vehicle.

[0073] S405: When the loss amount is greater than a preset threshold, control the operation of the host vehicle so that the target vehicle is located outside the safety range of the host vehicle.

[0074] In S405, when the loss amount is less than or equal to the preset threshold, the original operating state of the vehicle can be maintained, but it can be understood that when the loss amount is less than or equal to the preset threshold, how to control the operation of the vehicle does not affect the implementation of the embodiment of the present application.

[0075] exist Figure 4 In the embodiment of the present application shown, whether the target vehicle is a preset special type vehicle is determined based on the license plate number obtained from the license plate information, so that when the target vehicle is a special type vehicle, the vehicle can be controlled in a targeted manner.

[0076] The specific implementation of this application is described below in conjunction with a specific scenario. In this specific scenario, the target vehicle in the technical solution of this application is located in front of the host vehicle, and the host vehicle uses an intelligent driving system.

[0077] Currently, there are many vehicle brands on the market, and the prices of different brands can vary significantly. As the number of vehicles on the road increases, the number of traffic accidents has also increased. If a high-priced luxury car is involved in a traffic accident, the responsible owner may face significant financial losses. Therefore, controlling the operating state of the target vehicle when it is a high-priced luxury car is an application of the technical solution of this application.

[0078] Specifically, with respect to the intelligent driving system used in the vehicle, the embodiments of the present application can be applied to the following conditions and following parking conditions in the full-speed adaptive cruise control system (FSRA), as well as the parking conditions of the automatic braking system (AEB).

[0079] Full-Speed Cruise Control (FSRA) is a system that adapts speed to traffic conditions. Using sensors mounted on the front of the vehicle to detect the speed of vehicles in the path ahead, the system automatically slows down or accelerates the vehicle. FSRA provides adaptive cruise control across the entire speed range.

[0080] The automatic braking system, or AEB, uses sensors installed on the vehicle to detect the distance between the vehicle ahead, pedestrians, or obstacles. When the distance falls below the warning distance, a braking reminder is issued. If the distance falls below the safe distance, the vehicle automatically brakes even if the driver has no time to apply the brake pedal.

[0081] See also Figure 5a and Figure 5b , Figure 5a This is a schematic diagram of a scene where the front car is a luxury car. Figure 5b A flowchart of a method for controlling a vehicle's operating status is provided in accordance with another embodiment of the present application.

[0082] like Figure 5a As shown in FIG, the luxury car 501 is located in front of the host car 502. Figure 5b As shown, the method for controlling the vehicle running state in the embodiment of the present application includes the following steps:

[0083] S501. Obtain brand information of the preceding vehicle using a camera installed on the vehicle.

[0084] In S501, a camera installed on the vehicle is used to capture a full-vehicle picture of the preceding vehicle. In the full-vehicle picture of the preceding vehicle, the vehicle brand is identified in the vehicle logo area to obtain the brand information of the preceding vehicle.

[0085] S502: Obtaining an estimated selling price of the preceding vehicle based on the brand information;

[0086] S503: estimating the amount of loss with reference to the estimated selling price;

[0087] S504: Determine whether the loss amount is greater than a preset threshold. If yes, proceed to S505; otherwise, end the process.

[0088] In S504, the process of determining whether the loss amount is greater than a preset threshold value may be performed by an intelligent driving controller in the intelligent driving system. If the loss amount is greater than the preset threshold value, the preceding vehicle is a luxury car; otherwise, the preceding vehicle is a non-luxury car.

[0089] S505: The intelligent driving system switches the control mode to a special control mode;

[0090] In S505, the preceding vehicle is a luxury car, and in the special control mode, the operating parameters of the vehicle are set to be related to the loss amount;

[0091] S506: The intelligent driving system issues a reminder message;

[0092] In S506, the reminder information is used to remind the driver that the vehicle ahead is a luxury car, so that the driver can judge whether the state of the vehicle meets the lane change conditions according to the driving environment;

[0093] S507: Determine whether a lane change manual intervention confirmation message is received. If so, proceed to S508; otherwise, proceed to S509;

[0094] In S507, the driver makes a judgment based on the driving environment. If the vehicle's state satisfies the lane change conditions, the driver sends a lane change confirmation manual intervention message to the intelligent driving system.

[0095] S508: The intelligent driving system automatically triggers the safety mechanism and changes to the adjacent lane;

[0096] S509: The intelligent driving system controls to increase the distance between the host vehicle and the preceding vehicle;

[0097] In S509, the intelligent driving system does not receive the lane change manual intervention confirmation message, and controls to increase the distance between the host vehicle and the preceding vehicle so that the preceding vehicle is outside the safety range corresponding to the loss amount;

[0098] Specifically, when the technical solution of the present application is applied to the FSRA following condition, FSRA control increases the distance between the host vehicle and the preceding vehicle to a safe following distance, so that when the host vehicle follows the preceding vehicle at the safe following distance, the preceding vehicle is outside the safety range of the host vehicle;

[0099] When the technical solution of the present application is applied to the FSRA following-stop condition, the safe following distance and the safe stopping distance are compared, and the larger of the two distances is used as the safe following-stop distance. FSRA controls to increase the distance between the host vehicle and the preceding vehicle to the safe following-stop distance, so that when the host vehicle follows the preceding vehicle at the safe following distance, the preceding vehicle is outside the host vehicle's safety range; and when the distance between the host vehicle and the preceding vehicle is the safe stopping distance, the preceding vehicle is outside the host vehicle's safety range.

[0100] When the technical solution of the present application is applied to the AEB parking condition, the AEB control increases the distance between the vehicle and the vehicle in front to the safe parking distance, so that when the distance between the vehicle and the vehicle in front is the safe parking distance, the vehicle in front is outside the safety range of the vehicle.

[0101] The FSRA safe following distance, FSRA safe stopping distance, and AEB safe stopping distance can be set based on actual conditions. For example, the FSRA safe following distance can be set to twice the FSRA normal safe distance; the FSRA safe stopping distance can be set to the FSRA normal safe distance plus one vehicle length; and the AEB safe stopping distance can be set to twice the AEB normal safe distance. It should be understood that the setting of these safe distances does not affect the implementation of this embodiment.

[0102] S510: The intelligent driving system controls the vehicle according to a conventional algorithm.

[0103] In S510, the preceding vehicle is a non-luxury vehicle, and the intelligent driving system controls the vehicle according to a conventional algorithm, so that when the vehicle follows the preceding vehicle, the distance between the vehicle and the preceding vehicle is a conventional safe distance.

[0104] In the embodiment of the present application shown in Figure 5, the target vehicle is located in front of the vehicle. When the vehicle is in the FSRA following condition, the FSRA following parking condition, and the AEB parking condition, the operating state of the vehicle is controlled in accordance with the situation that the front vehicle is a luxury car.

[0105] The following describes the specific implementation of the device part of this application. Figure 6 , Figure 6 Schematic diagram of a device for controlling the running state of a vehicle according to an embodiment of the present application. The device 600 includes:

[0106] An information acquisition unit 601 is configured to acquire vehicle information of a target vehicle, wherein the vehicle information includes at least one of brand information, license plate information, and size information;

[0107] The loss estimation unit 602 is used to estimate the amount of loss that would be incurred if a traffic accident occurs between the host vehicle and the target vehicle based on the vehicle information of the target vehicle;

[0108] The vehicle control unit 603 is configured to control the operation of the vehicle so that the target vehicle is outside the safety range of the vehicle when the loss amount is greater than a preset threshold.

[0109] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present application. Various modifications to these embodiments will be readily apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application is not limited to the embodiments shown herein, but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for controlling a vehicle's operating state, characterized in that: Applied to a vehicle controlled by an intelligent driving system, the method includes: Acquire vehicle information of a target vehicle, the target vehicle being located in front of the host vehicle and traveling in the same direction as the host vehicle, the vehicle information including at least one of brand information, license plate information, and size information; estimating the amount of loss that would be incurred if a traffic accident occurs between the host vehicle and the target vehicle based on the vehicle information of the target vehicle; If the vehicle information includes license plate information, extracting the license plate number of the target vehicle from the license plate information; Determining whether the target vehicle is a preset special type of vehicle based on the letters and / or words in the license plate number, and if so, estimating the loss amount to be an amount greater than a preset threshold; When the loss amount is greater than the preset threshold, controlling the vehicle to move, increasing the distance between the vehicle and the target vehicle, or controlling the vehicle to change lanes and accelerate away from the target vehicle so that the target vehicle is outside the safety range of the vehicle; The controlling the vehicle to operate so that the target vehicle is outside the safety range of the vehicle includes: When the loss amount is greater than a preset threshold, switching the control mode of the vehicle to a special control mode; The operation of the host vehicle is controlled in the special control mode so that the target vehicle is located outside a safety range corresponding to the loss amount; wherein, in the special control mode, the operating parameters of the host vehicle are related to the loss amount.

2. The method according to claim 1, characterized in that The controlling the operation of the vehicle includes: Determine whether the state of the host vehicle satisfies a lane change condition; if not, control to increase the distance between the host vehicle and the target vehicle.

3. The method according to claim 1, characterized in that The controlling the operation of the vehicle includes: The vehicle is controlled to run at a speed corresponding to the loss amount.

4. The method according to claim 1, wherein The vehicle information includes the brand information. The estimating, based on the vehicle information of the target vehicle, the amount of loss that would be incurred if a traffic accident occurs between the vehicle and the target vehicle includes: An estimated selling price of the target vehicle is obtained based on the brand information, and the loss amount is estimated with reference to the estimated selling price.

5. The method according to claim 1, wherein The vehicle information includes the size information. The estimating, based on the vehicle information of the target vehicle, the amount of loss that would be incurred if a traffic accident occurs between the vehicle and the target vehicle includes: Calculating based on the size information, obtaining an estimated volume of the target vehicle; When the estimated volume is greater than a preset volume threshold, there is a linear relationship between the estimated value of the loss amount and the estimated volume of the target vehicle.

6. The method according to claim 1, characterized in that When the host vehicle is in a following vehicle condition, controlling the host vehicle to operate so that the target vehicle is located outside a safety range of the host vehicle includes: The adaptive cruise control system controls to increase the distance between the host vehicle and the target vehicle to a safe following distance, wherein when the host vehicle follows the target vehicle at the safe following distance, the target vehicle is outside the safety range of the host vehicle.

7. The method according to claim 1, characterized in that When the host vehicle is in a stop-and-follow condition, controlling the host vehicle to operate so that the target vehicle is located outside a safety range of the host vehicle includes: The adaptive cruise control system controls an increase in the distance between the host vehicle and the target vehicle to a safe following and stopping distance; wherein the safe following and stopping distance is the larger distance between the safe following distance and the safe stopping distance; wherein, when the host vehicle follows the target vehicle at the safe following distance, the target vehicle is outside the safety range of the host vehicle; and when the distance between the host vehicle and the target vehicle is the safe stopping distance, the target vehicle is outside the safety range of the host vehicle.

8. The method according to claim 1, characterized in that When the host vehicle is in a parking state, controlling the host vehicle to operate so that the target vehicle is located outside a safety range of the host vehicle includes: The automatic braking system controls to increase the distance between the host vehicle and the target vehicle to a safe parking distance, wherein when the distance between the host vehicle and the target vehicle is the safe parking distance, the target vehicle is outside the safety range of the host vehicle.

9. The method according to claim 1, characterized in that The controlling the operation of the vehicle includes: After receiving the manual intervention message, the vehicle is controlled to run.

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