Vehicle side safety distance display method, device and equipment and storage medium

Abstract

The invention discloses a vehicle side safety distance display method, device and equipment and a storage medium, and relates to the technical field of vehicles, and the vehicle side safety distance display method comprises the following steps: obtaining an initial safety distance according to a current vehicle speed and a preset Polekov model; according to the current steering wheel angle, the current accelerator opening degree, the lane deviation distance, the driver fatigue degree and the road environment information, a safe distance coefficient is calculated, and a target safe distance coefficient is obtained; obtaining a target safety distance according to an initial safety distance and the target safety distance coefficient; and sending the target safety distance to a vehicle side projection lamp, so that the vehicle side projection lamp displays the vehicle side safety distance. The basic vehicle side safety distance is calculated through the improved Polekov model, correction is carried out in combination with the safety distance coefficient to obtain the final vehicle side safety distance, and the vehicle side safety distance is displayed through the vehicle side projection lamp, so that traffic accidents are avoided by displaying the lateral safety distance of the vehicle.

Description

Technical Field

[0001] The present application relates to the field of vehicle technology, and in particular to a method, device, equipment and storage medium for displaying a vehicle side safety distance. Background Art

[0002] In our daily driving traffic scenes, the driver status, road conditions, vehicle conditions, real-time driving conditions and expectations of each vehicle have an important impact on traffic safety. Letting outside vehicles better understand the driver status, driving status and driving intentions of this vehicle can better prevent traffic accidents. Among them, combining DMS to judge the attention level is to monitor the driver's status; the Polyankov model and its improvement are to monitor the speed of the vehicle itself and the surrounding vehicles; road conditions, recent driving habits and real-time driving action evaluation are to monitor the vehicle's driving status and expectations. Therefore, how to avoid traffic accidents by displaying the safe distance to the side of the vehicle in a low-light environment has become an urgent problem to be solved. Summary of the invention

[0003] The main purpose of the present application is to provide a method, device, equipment and storage medium for displaying the safety distance on the side of the vehicle, aiming to solve the technical problem of how to avoid traffic accidents by displaying the safety distance on the side of the vehicle in a low-light environment.

[0004] To achieve the above objectives, the present application proposes a vehicle side safety distance display method, the vehicle side safety distance display method comprising:

[0005] The initial safety distance is obtained according to the current vehicle speed and the preset Polyankov model;

[0006] The safety distance coefficient is calculated based on the current steering wheel angle, current throttle opening, lane deviation distance, driver fatigue level and road environment information to obtain the target safety distance coefficient;

[0007] Obtaining a target safety distance according to the initial safety distance and the target safety distance coefficient;

[0008] The target safety distance is sent to the vehicle side projection lamp, so that the vehicle side projection lamp displays the vehicle side safety distance.

[0009] In one embodiment, the step of calculating the safety distance coefficient according to the current steering wheel angle, the current throttle opening, the lane deviation distance, the driver's fatigue level and the road environment information to obtain the target safety distance coefficient includes:

[0010] Determine the driving action safety distance coefficient according to the current steering wheel angle, the current throttle opening and the preset driving action mapping relationship;

[0011] Determine an offset safety distance coefficient according to a mapping relationship between a lane offset distance and a preset offset distance;

[0012] Determine the fatigue safety distance coefficient based on the driver's fatigue level and the preset attention mapping relationship;

[0013] Determine a road environment safety distance coefficient based on road environment information and preset road environment mapping information;

[0014] A target safety distance coefficient is obtained according to the driving action safety distance coefficient, the deviation safety distance coefficient, the fatigue safety distance coefficient and the road environment safety distance coefficient.

[0015] In one embodiment, before the step of determining the offset safety distance coefficient according to the lane offset distance and the preset offset distance mapping relationship, the step further includes:

[0016] Perform image analysis based on the external image information and preset visual algorithms to obtain driving light conditions, driving road conditions, and surrounding vehicle information;

[0017] The lane deviation distance is obtained by performing distance calculation according to the current curve curvature, the driving light condition, the driving road condition and the surrounding vehicle information.

[0018] In one embodiment, before the step of determining the fatigue safety distance coefficient according to the driver's fatigue level and the preset attention mapping relationship, the method further includes:

[0019] The driver's condition calculation result is obtained based on the in-vehicle image information and the preset deep learning algorithm;

[0020] The driver's fatigue level is determined based on the driver condition calculation result.

[0021] In one embodiment, the step of obtaining the target safety distance according to the initial safety distance and the target safety distance coefficient includes:

[0022] Comprehensively analyzing the current steering wheel angle, the current throttle opening, the lane deviation distance, the driver's fatigue level, and the road environment information to obtain a current danger level;

[0023] Obtaining a weighted safety distance coefficient according to the current danger level and the target safety distance coefficient;

[0024] A target safety distance is obtained according to the initial safety distance and the weighted safety distance coefficient.

[0025] In one embodiment, the step of obtaining a weighted safety distance coefficient according to the current danger level and the target safety distance coefficient includes:

[0026] Obtaining a corresponding current dynamic coefficient according to the current danger level and a preset dynamic coefficient calculation method;

[0027] A weighted safety distance coefficient is obtained according to the target safety distance coefficient and the current dynamic coefficient.

[0028] In one embodiment, the step of obtaining a weighted safety distance coefficient according to the target safety distance coefficient and the current dynamic coefficient includes:

[0029] When the danger level corresponding to the target safety distance coefficient is the first danger level, obtaining a weighted safety distance coefficient according to the first weighted coefficient, the target safety distance coefficient and the current dynamic coefficient;

[0030] When the danger level corresponding to the target safety distance coefficient is the second danger level, the weighted safety distance coefficient is obtained according to the second weighting coefficient, the target safety distance coefficient and the current dynamic coefficient, the second danger level is greater than the first danger level, and the second weighting coefficient is greater than the first weighting coefficient.

[0031] In addition, to achieve the above-mentioned purpose, the present application also proposes a vehicle side safety distance display device, the vehicle side safety distance display device comprising:

[0032] A processing module, used for obtaining an initial safety distance according to a current vehicle speed and a preset Polyankov model;

[0033] The processing module is further used to calculate the safety distance coefficient according to the current steering wheel angle, the current throttle opening, the lane deviation distance, the driver's fatigue level and the road environment information to obtain the target safety distance coefficient;

[0034] The processing module is further used to obtain a target safety distance according to the initial safety distance and the target safety distance coefficient;

[0035] The display module is used to send the target safety distance to the vehicle side projection lamp, so that the vehicle side projection lamp displays the vehicle side safety distance.

[0036] In addition, to achieve the above-mentioned purpose, the present application also proposes a vehicle-side safety distance display device, which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, and the computer program is configured to implement the steps of the vehicle-side safety distance display method as described above.

[0037] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the vehicle-side safety distance display method as described above are implemented.

[0038] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the steps of the vehicle side safety distance display method as described above are implemented.

[0039] This application obtains the initial safety distance according to the current vehicle speed and the preset Polyankov model; calculates the safety distance coefficient according to the current steering wheel angle, the current throttle opening, the lane deviation distance, the driver's fatigue level and the road environment information to obtain the target safety distance coefficient; obtains the target safety distance according to the initial safety distance and the target safety distance coefficient; sends the target safety distance to the vehicle side projection light so that the vehicle side projection light can display the vehicle side safety distance. The basic vehicle side safety distance is calculated by the improved Polyankov model, and then corrected with the safety distance coefficient to obtain the final vehicle side safety distance, and the vehicle side safety distance is displayed by the vehicle side projection light, so as to avoid traffic accidents by displaying the lateral safety distance of the vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0041] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0042] Figure 1 A schematic diagram of a process flow provided for the first embodiment of the vehicle side safety distance display method of the present application;

[0043] Figure 2 A schematic diagram of the overall physical architecture provided for the first embodiment of the vehicle side safety distance display method of the present application;

[0044] Figure 3 A schematic diagram of lateral safety distance scatter points provided in the first embodiment of the vehicle side safety distance display method of the present application;

[0045] Figure 4 A statistical diagram of the minimum safety distance distribution provided in the first embodiment of the vehicle side safety distance display method of the present application;

[0046] Figure 5 A schematic diagram showing the effect of sleepiness level on reaction time provided in Example 1 of the vehicle side safety distance display method of the present application;

[0047] Figure 6 A schematic diagram showing the effect of fatigue level on reaction time provided in Example 1 of the vehicle side safety distance display method of the present application;

[0048] Figure 7 A schematic diagram of the relationship between road conditions and traffic failure rate provided in the first embodiment of the vehicle side safety distance display method of the present application;

[0049] Figure 8 A schematic diagram of a flow chart provided for the second embodiment of the vehicle side safety distance display method of the present application;

[0050] Fig. 9 A schematic diagram of a brief process of a vehicle side safety distance display method provided in Embodiment 1 of the present application;

[0051] Fig.10 This is a schematic diagram of the module structure of the vehicle side safety distance display device according to an embodiment of the present application;

[0052] Fig.11 This is a schematic diagram of the device structure of the hardware operating environment involved in the vehicle side safety distance display method in the embodiment of the present application.

[0053] The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0054] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0055] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0056] The main solution of the embodiment of the present application is: to obtain an initial safety distance according to the current vehicle speed and a preset Polyankov model; to calculate a safety distance coefficient according to the current steering wheel angle, the current throttle opening, the lane deviation distance, the driver's fatigue level and the road environment information to obtain a target safety distance coefficient; to obtain a target safety distance according to the initial safety distance and the target safety distance coefficient; and to send the target safety distance to the vehicle side projection lights so that the vehicle side projection lights display the vehicle side safety distance.

[0057] In our daily driving traffic scenes, the driver status, road conditions, vehicle conditions, real-time driving conditions and expectations of each vehicle have an important impact on traffic safety. Letting outside vehicles better understand the driver status, driving status and driving intentions of this vehicle can better prevent traffic accidents. Among them, combining DMS to judge the attention level is to monitor the driver's status; the Polyankov model and its improvement are to monitor the speed of the vehicle itself and the surrounding vehicles; road conditions, recent driving habits and real-time driving action evaluation are to monitor the vehicle's driving status and expectations. Therefore, how to avoid traffic accidents by displaying the safe distance to the side of the vehicle in a low-light environment has become an urgent problem to be solved.

[0058] This application obtains the initial safety distance according to the current vehicle speed and the preset Polyankov model; calculates the safety distance coefficient according to the current steering wheel angle, the current throttle opening, the lane deviation distance, the driver's fatigue level and the road environment information to obtain the target safety distance coefficient; obtains the target safety distance according to the initial safety distance and the target safety distance coefficient; sends the target safety distance to the vehicle side projection light so that the vehicle side projection light can display the vehicle side safety distance. The basic vehicle side safety distance is calculated by the improved Polyankov model, and then corrected with the safety distance coefficient to obtain the final vehicle side safety distance, and the vehicle side safety distance is displayed by the vehicle side projection light, so as to avoid traffic accidents by displaying the lateral safety distance of the vehicle.

[0059] It should be noted that the execution subject of this embodiment may be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or a vehicle side safety distance display device capable of realizing the above functions, etc. The following takes the vehicle side safety distance display device as the execution subject as an example to illustrate this embodiment and the following embodiments.

[0060] Based on this, the embodiment of the present application provides a vehicle side safety distance display method, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the vehicle side safety distance display method of the present application.

[0061] In this embodiment, the vehicle side safety distance display method includes steps S10 to S40:

[0062] Step S10, obtaining an initial safety distance according to the current vehicle speed and a preset Polyankov model;

[0063] It should be noted that if Figure 2As shown, the display system designed in this embodiment mainly includes a vehicle side projection lamp, a vehicle speed sensor, a steering wheel angle and an accelerator pedal sensor, an in-vehicle camera, an outside camera, and an on-board computing center. The vehicle side projection lamp is used to project the vehicle side safety distance light; the vehicle speed sensor is used to obtain the vehicle speed, which can be used to generate the basic safety distance by the Polyankov model; the steering wheel angle and the accelerator pedal sensor are used to monitor the real-time driving action to obtain the driving expectation (direction, acceleration); the in-vehicle camera is used to monitor the driver's state, so as to adjust the safety distance according to his mood and fatigue level; the outside camera is used to shoot the road environment, monitor the lane information, road surface conditions, the maximum offset distance relative to the lane center, and the movement information of other vehicles; the on-board computing center is responsible for weighted averaging of various data according to weights to calculate the final safety distance.

[0064] It can be understood that the current vehicle speed refers to the current speed of the vehicle, the preset Polyankov model refers to the improved Polyankov model, and the initial safety distance refers to the basic safety distance.

[0065] In the specific implementation, the speed of the vehicle is obtained through the vehicle speed sensor, the speed of other vehicles is obtained by the external camera, and then the basic vehicle side safety distance is calculated according to the improved Polyankov model.

[0066] It should be noted that the Polyankov model is mainly used to calculate the lateral safety distance between two vehicles on the road or between a vehicle and a curb. The model is based on the relationship between the running speed and the various components of the road cross section. The lateral safety distance of the vehicle is:

[0067] x=0.7+0.02(v1+v2)*3 / 4

[0068] d=0.7+0.02v*3 / 4

[0069] c=0.4+0.02v*3 / 4

[0070] Among them, x is the lateral safety distance between the vehicle and the oncoming vehicle, in meters (m); d is the lateral safety distance between the vehicle and the vehicle traveling in the same direction, in meters (m); c is the lateral safety distance between the vehicle and the curb, in meters (m); v, v1, and v2 are the vehicle speeds, in kilometers per hour (km / h). The width of a single lane is composed of the vehicle's body width and the lateral safety distance. The lateral safety distance depends on the swing of the vehicle body and the driver's psychological needs for the lateral safety distance, which is related to the driving performance, driving speed, traffic conditions, etc.

[0071] Model improvement: 88.65% of vehicles on arterial roads are small cars, while large cars account for a very low proportion, and the speeds of different models vary greatly. When different speeds are mixed, it will have a great impact on the overall operation of the road section. In order to more accurately analyze the lateral distance distribution of vehicles on the current arterial roads, the Polyankov model is modified. Figure 3 As shown, Figure 3 is the lateral distance distribution diagram of the vehicle under running conditions, which is used for fitting analysis to obtain the relationship between the running speed and the lateral safety distance. Figure 3 It is found that the running speed is positively correlated with the lateral distance between vehicles. The lateral safety distance increases with the increase of running speed. When the speed approaches zero, the scatter curve will intersect the Y axis at a certain point. This point is a limit value, which is the lateral safety distance between vehicles when the vehicle speed approaches zero infinitely, that is, the minimum lateral safety distance value. Figure 4 As shown, Figure 4 The relevant lateral distance obtained when the vehicle is stationary is used to determine the relevant minimum lateral safety distance through cumulative frequency. Figure 4 It can be seen that: 85% of the minimum lateral distances fluctuate within 0.51-0.66m, and the slope of the cumulative frequency curve of the minimum lateral distance changes suddenly at 0.60-0.62m, so the average value of 0.61m is selected as the minimum lateral safety distance value between vehicles in the same direction. Similarly, the minimum lateral distance safety distance value between the vehicle and the lane edge is 0.32m; In summary, the minimum lateral safety distance value between vehicles in the same direction = 0.61m + 0.005v (v is the vehicle speed, unit km\h); the minimum lateral distance safety distance value between the vehicle and the lane edge = 0.32m + 0.005v (v is the vehicle speed, unit km\h).

[0072] Step S20, calculating a safety distance coefficient according to the current steering wheel angle, the current throttle opening, the lane deviation distance, the driver's fatigue level and the road environment information to obtain a target safety distance coefficient;

[0073] It can be understood that the current steering wheel angle refers to the current steering wheel angle, the current throttle opening refers to the degree to which the accelerator pedal is currently depressed, the lane offset distance refers to the maximum offset distance of the vehicle relative to the center of the lane, the driver fatigue level refers to the driver's fatigue and sleepiness level, the road environment information includes wet road environment, rainy and snowy road environment, and icy road environment, etc., and the target safety distance coefficient refers to the total safety distance coefficient.

[0074] In a specific implementation, multiple safety distance coefficients are calculated based on the current steering wheel angle, the current degree to which the accelerator pedal is depressed, the vehicle's maximum offset distance from the lane center, the driver's fatigue and sleepiness level, and road environment information, and then a total safety distance coefficient is obtained by summarizing the multiple safety distance coefficients.

[0075] In a feasible implementation, step S20 may include steps A21 to A25:

[0076] Step A21, determining a driving action safety distance coefficient according to a current steering wheel angle, a current throttle opening, and a preset driving action mapping relationship;

[0077] It should be noted that the preset driving action mapping relationship refers to the mapping relationship between the preset throttle opening, steering wheel angle and the corresponding safety distance expansion coefficient, and the driving action safety distance coefficient refers to the safety distance expansion coefficient corresponding to the driving action.

[0078] In a specific implementation, the corresponding safety distance expansion coefficient is obtained according to the current steering wheel angle and the current degree to which the accelerator pedal is depressed through the pre-set mapping relationship between the throttle opening, the steering wheel angle and the corresponding safety distance expansion coefficient, that is, the safety distance expansion coefficient corresponding to the driving action.

[0079] It should be noted that real-time driving action information (category A factor): when the camera detects that the vehicle is driving in a fixed lane, the steering wheel angle and throttle opening are obtained through the steering wheel angle and accelerator pedal sensor to evaluate the driver's real-time driving action. As shown in Table 1, the throttle opening, steering wheel angle and corresponding safety distance expansion coefficient (SSIC, Safety Spacing distance Increase Coefficient).

[0080] Table 1:

[0081] throttle(%)\steering angle(drgree) 10-45 45-90 90+ 0-25 1.1 1.35 1.6 25-50 1.2 1.5 1.8 50+ 1.3 1.65 2

[0082] Step A22, determining an offset safety distance coefficient according to a lane offset distance and a preset offset distance mapping relationship;

[0083] It can be understood that the preset offset distance mapping relationship refers to the mapping relationship between the preset maximum offset distance of the vehicle relative to the lane center and the corresponding safety distance expansion factor, and the offset safety distance coefficient refers to the safety distance expansion factor corresponding to the lane offset distance.

[0084] In a specific implementation, the corresponding safety distance expansion coefficient is obtained by searching the mapping relationship between the maximum offset distance of the vehicle relative to the lane center and the corresponding safety distance expansion coefficient according to the maximum offset distance of the vehicle relative to the lane center, that is, the safety distance expansion coefficient corresponding to the lane offset distance.

[0085] It should be noted that recent driving habits (category B factors): the maximum offset distance relative to the lane center is obtained through the external camera to analyze the driver's recent driving habits. When the camera detects that the vehicle is driving in a fixed lane, the offset distance is updated every 5 seconds. The SSIC corresponding to the maximum offset distance relative to the lane center is: 25%-50%, 1.1; 50%-75%, 1.2; 75%+, 1.3.

[0086] In a feasible implementation manner, step A22 may include steps B221 to B222:

[0087] Step B221, performing image analysis based on the vehicle exterior image information and a preset visual algorithm to obtain driving light conditions, driving road conditions, and surrounding vehicle information;

[0088] It can be understood that the outside vehicle image information refers to the image information collected by the outside vehicle camera, the preset visual algorithm refers to the pre-set visual algorithm for image processing, such as edge detection, feature matching, convolutional neural network (CNN), etc., the driving light condition refers to the intensity and quality of light in the vehicle's environment during driving, the driving road condition refers to the physical properties of the road the vehicle is traveling on, and the surrounding vehicle information refers to the motion information of surrounding traffic participants.

[0089] In the specific implementation, the image information collected by the external camera is analyzed through the pre-set visual algorithm for image processing to obtain the intensity and quality of light in the vehicle's environment during driving, the physical characteristics of the road on which the vehicle is traveling, and the movement information of surrounding traffic participants.

[0090] Step B222, performing distance calculation based on the current curve curvature, the driving light conditions, the driving road conditions and the surrounding vehicle information to obtain the lane offset distance.

[0091] It can be understood that the current curve curvature refers to the curvature of the current curve.

[0092] In a specific implementation, the vehicle offset distance is calculated based on the curvature of the current curve, the intensity and quality of light in the vehicle's environment during driving, the physical characteristics of the road the vehicle is traveling on, and the motion information of surrounding traffic participants to obtain the maximum offset distance of the vehicle relative to the center of the lane.

[0093] It should be noted that the external camera of this embodiment can obtain driving light conditions and road conditions through visual algorithms, obtain movement information of surrounding traffic participants, and monitor the curvature of curves in real time. It can obtain the maximum offset distance and average distance relative to the center of the lane by continuously monitoring the vehicle's position relative to the lane.

[0094] Step A23, determining a fatigue safety distance coefficient according to the driver's fatigue level and a preset attention mapping relationship;

[0095] It can be understood that the preset attention mapping relationship refers to the mapping relationship between the preset driver's fatigue and sleepiness level and the corresponding safety distance expansion coefficient, and the fatigue safety distance coefficient refers to the safety distance expansion coefficient corresponding to the driver's fatigue level.

[0096] In a specific implementation, the corresponding safety distance expansion factor is obtained according to the driver's fatigue and sleepiness level through a pre-set mapping relationship between the driver's fatigue and sleepiness level and the corresponding safety distance expansion factor, that is, the safety distance expansion factor corresponding to the driver's fatigue level.

[0097] It should be noted that the driver's attention status (C factor) is monitored by the in-car camera to analyze the driver's attention concentration. Figure 5 and Figure 6 As shown in the table, by analyzing the table and dividing the reaction time at the corresponding fatigue\sleepiness level by the normal reaction time, we can get the SSIC: sleepiness level 1——1.05; sleepiness level 2——1.14; fatigue level 1——1.11; Fatigue level 2——1.19, among which sleepiness level refers to the sleepiness level and fatigue level refers to the fatigue level.

[0098] In a feasible implementation manner, step A23 may include steps B231 to B232:

[0099] Step B231, obtaining a calculation result of the driver's condition based on the in-vehicle image information and a preset deep learning algorithm;

[0100] It can be understood that the in-vehicle image information refers to the driver image information collected by the in-vehicle camera, the preset deep learning algorithm refers to the pre-set deep learning algorithm for in-vehicle image processing, and the driver condition calculation results include the driver's fatigue level, attention level, sleepiness, mood, health status, etc.

[0101] In the specific implementation, the driver's image information collected by the in-vehicle camera is processed through a pre-set deep learning algorithm for in-vehicle image processing to obtain the driver's fatigue level, attention level, sleepiness, mood, health status, etc.

[0102] Step B232, determining the driver's fatigue level according to the driver's condition calculation result;

[0103] In a specific implementation, the driver's fatigue level and sleepiness level are determined through information such as the driver's fatigue level, attention level, sleepiness, mood, and health status, that is, the driver's fatigue level is obtained.

[0104] Step A24, determining a road environment safety distance coefficient according to the road environment information and preset road environment mapping information;

[0105] It can be understood that the preset road environment mapping information refers to the mapping relationship between the preset road environment information and the corresponding safety distance expansion coefficient, and the road environment safety distance coefficient refers to the safety distance expansion coefficient corresponding to the road environment information.

[0106] In a specific implementation, a mapping relationship between the road environment information and the corresponding safety distance expansion coefficient is preset according to the road environment information, that is, the safety distance expansion coefficient corresponding to the road environment information.

[0107] It should be noted that obtaining road environment information (category D factors) involves monitoring road surface conditions through external cameras. The relationship between road surface conditions and traffic accident rates is as follows: Figure 7 As shown, SSIC is determined based on the statistical chart: wet – 1.1; rain and snow – 1.4; ice – 1.7.

[0108] Step A25, obtaining a target safety distance coefficient according to the driving action safety distance coefficient, the offset safety distance coefficient, the fatigue safety distance coefficient and the road environment safety distance coefficient.

[0109] It can be understood that the safety distance expansion factor corresponding to the driving action, the safety distance expansion factor corresponding to the lane deviation distance, the safety distance expansion factor corresponding to the driver's fatigue level, the safety distance expansion factor corresponding to the road environment information, and the safety distance expansion factor corresponding to the road environment information are summarized to obtain the total safety distance expansion factor.

[0110] Step S30, obtaining a target safety distance according to the initial safety distance and the target safety distance coefficient;

[0111] It can be understood that the target safety distance refers to the final vehicle side safety distance.

[0112] In a specific implementation, a product calculation is performed based on the basic safety distance and the total safety distance expansion coefficient, and then the final vehicle side safety distance is obtained based on the calculation result.

[0113] Step S40 , sending the target safety distance to the vehicle side projection lamp, so that the vehicle side projection lamp displays the vehicle side safety distance.

[0114] It can be understood that the final vehicle side safety distance is sent to the vehicle side projection lights, and then the vehicle side projection lights receive corresponding data and light display signals, and project the vehicle side safety distance onto both sides of the car.

[0115] This embodiment obtains the initial safety distance according to the current vehicle speed and the preset Polyankov model; calculates the safety distance coefficient according to the current steering wheel angle, the current throttle opening, the lane deviation distance, the driver's fatigue level and the road environment information to obtain the target safety distance coefficient; obtains the target safety distance according to the initial safety distance and the target safety distance coefficient; sends the target safety distance to the vehicle side projection light so that the vehicle side projection light can display the vehicle side safety distance. The basic vehicle side safety distance is calculated by the improved Polyankov model, and then corrected by combining the safety distance coefficient to obtain the final vehicle side safety distance, and the vehicle side safety distance is displayed by the vehicle side projection light, so as to avoid traffic accidents by displaying the lateral safety distance of the vehicle.

[0116] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can be referred to the above introduction, and will not be repeated in the following. Figure 8 In the vehicle side safety distance display method, step S30 further includes steps S31 to S33:

[0117] Step S31, comprehensively analyzing the current steering wheel angle, the current throttle opening, the lane deviation distance, the driver's fatigue level and the road environment information to obtain a current danger level;

[0118] It is understandable that the current danger levels include danger level one and danger level two.

[0119] In specific implementation, a comprehensive analysis is conducted on the current steering wheel angle, the current degree to which the accelerator pedal is depressed, the vehicle's maximum offset distance from the lane center, the driver's fatigue and sleepiness level, and road environment information, and then the danger level corresponding to each safety distance expansion factor is determined based on the analysis results.

[0120] Step S32, obtaining a weighted safety distance coefficient according to the current danger level and the target safety distance coefficient;

[0121] It can be understood that the weighted safety distance coefficient refers to the total safety distance expansion coefficient after weighted calculation.

[0122] In the specific implementation, different danger levels correspond to different weight coefficients, and then the corresponding weight coefficients are determined according to the danger levels corresponding to each safety distance expansion coefficient, and then weighted calculation is performed in combination with the total safety distance expansion coefficient, and finally the total safety distance expansion coefficient after weighted calculation is obtained.

[0123] In a feasible implementation, step S32 may include steps A321 to A322:

[0124] Step A321, obtaining the corresponding current dynamic coefficient according to the current danger level and the preset dynamic coefficient calculation method;

[0125] It can be understood that the preset dynamic coefficient calculation method refers to a preset dynamic weighted average calculation method, and the current dynamic coefficient refers to the dynamic coefficient used for weighted calculation.

[0126] In a specific implementation, the dynamic coefficient = 1 + 0.1 * the number of risk level two factors, and then the dynamic coefficient used for weighted calculation is obtained by combining the risk level corresponding to each safety distance expansion coefficient through a pre-set dynamic weighted average calculation method.

[0127] Step A322, obtaining a weighted safety distance coefficient according to the target safety distance coefficient and the current dynamic coefficient.

[0128] In a specific implementation, a sum calculation is performed based on the total safety distance expansion coefficient and the dynamic coefficient used for weighted calculation, thereby obtaining the weighted safety distance expansion coefficient.

[0129] In a feasible implementation manner, step A322 may include steps B3221-B3222:

[0130] Step B3221, when the danger level corresponding to the target safety distance coefficient is the first danger level, obtaining a weighted safety distance coefficient according to the first weighted coefficient, the target safety distance coefficient and the current dynamic coefficient;

[0131] It can be understood that the first danger level refers to the danger level being level one, and the first weighting coefficient refers to the weighting coefficient corresponding to the danger level being level one. In this embodiment, 10% is taken as an example for illustration.

[0132] In a specific implementation, when the danger level corresponding to the target safety distance coefficient is level one, a weighted coefficient of 10% is used, and the total safety distance expansion coefficient and the dynamic coefficient used for weighted calculation are summed to obtain the weighted safety distance expansion coefficient.

[0133] Step B3222, when the danger level corresponding to the target safety distance coefficient is the second danger level, a weighted safety distance coefficient is obtained according to a second weighting coefficient, the target safety distance coefficient and the current dynamic coefficient, the second danger level is greater than the first danger level, and the second weighting coefficient is greater than the first weighting coefficient.

[0134] It can be understood that the first danger level refers to the danger level 2, and the second weighting coefficient refers to the weighting coefficient corresponding to the danger level 2. In this embodiment, 25% is taken as an example for illustration.

[0135] In a specific implementation, when the danger level corresponding to the target safety distance coefficient is level two, a weighted coefficient of 25% is used, and the total safety distance expansion coefficient and the dynamic coefficient used for weighted calculation are summed to obtain the weighted safety distance expansion coefficient.

[0136] Step S33, obtaining a target safety distance according to the initial safety distance and the weighted safety distance coefficient.

[0137] It can be understood that the basic safety distance and the total safety distance expansion factor are multiplied and then the final vehicle side safety distance is obtained based on the calculation result.

[0138] It should be noted that in order to obtain the final vehicle side safety distance: the on-board computing center comprehensively analyzes information from all aspects of the system, dynamically weighted averages it, calculates the total SSIC and the minimum lateral safety distance, and then calculates the final vehicle side safety distances on the left and right sides respectively, and updates them in real time and displays them through projection lights. Among them, the dynamic weighting method is the dynamic weighted average based on the hazard level: (1) hazard level one (weighting 10%); (2) hazard level two (weighting 25%); (3) dynamic coefficient = 1 + 0.1 * number of hazard level two factors; (4) when all four items are hazard level one, the total SSIC = dynamic coefficient (=1) * 0.6 + Class A SSIC * 0.1 + Class B SSIC * 0.1 + Class C SSIC * 0.1 + Class D SSIC * 0.1; (5) when all four items are hazard level two, the total SSIC = Class A SSIC * 0.25 + Class B SSIC * 0.25 + Class C SSIC * 0.25 + Class D SSIC * 0.25; and so on, the weight of the dynamic coefficient varies between 0 and 0.6 according to the hazard level of the four factors. (6) Final left / right side safety distance = minimum left / right side lateral safety distance value (determined by the left / right side camera whether it is the distance between vehicles traveling in the same direction or the distance between the vehicle and the lane edge) * total SSIC.

[0139] This embodiment obtains the current danger level by comprehensively analyzing the current steering wheel angle, the current throttle opening, the lane deviation distance, the driver's fatigue level and the road environment information; obtains the weighted safety distance coefficient according to the current danger level and the target safety distance coefficient; and obtains the target safety distance according to the initial safety distance and the weighted safety distance coefficient. By weighting and adjusting the safety distance coefficient based on the danger level, the total safety distance coefficient is obtained, and then combined with the initial safety distance for calculation, the final safety distance is obtained, thereby improving the accuracy of the safety distance calculation.

[0140] For example, in order to help understand the implementation process of the vehicle side safety distance display method obtained by combining this embodiment with the above-mentioned embodiment 1, please refer to Fig. 9 , Fig. 9 A brief flow chart of a method for displaying a vehicle side safety distance is provided. Specifically, this embodiment provides a vehicle side safety distance display in a low-light environment, and provides decision-making information for other traffic participants in various traffic scenarios. It mainly includes a vehicle side projection lamp, a vehicle speed sensor, a steering wheel angle and an accelerator pedal sensor, an in-vehicle camera, an outside-vehicle camera, and an on-board computing center. The vehicle side projection lamp is used to project the vehicle side safety distance light; the vehicle speed sensor is used to obtain the vehicle speed, and the vehicle speed can be used to generate a basic safety distance using the Polyankov model; the steering wheel angle and the accelerator pedal sensor are used to monitor real-time driving actions to derive driving expectations (direction, acceleration); the in-vehicle camera is used to monitor the driver's state, so as to adjust the safety distance according to his mood and fatigue level; the outside-vehicle camera is used to shoot the road environment, monitor lane information, road conditions, maximum offset distance relative to the lane center, and movement information of other vehicles; the on-board computing center is responsible for weighted averaging of various data according to weights to calculate the final safety distance.

[0141] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the vehicle side safety distance display method of the present application. More simple transformations based on this technical concept are all within the protection scope of the present application.

[0142] This application also provides a vehicle side safety distance display device, please refer to Fig.10 , the vehicle side safety distance display device comprises:

[0143] The processing module 10 is used to obtain an initial safety distance according to the current vehicle speed and a preset Polyankov model;

[0144] The processing module 10 is further used to calculate the safety distance coefficient according to the current steering wheel angle, the current throttle opening, the lane deviation distance, the driver's fatigue level and the road environment information to obtain the target safety distance coefficient;

[0145] The processing module 10 is further used to obtain a target safety distance according to the initial safety distance and the target safety distance coefficient;

[0146] The display module 20 is used to send the target safety distance to the vehicle side projection lamp, so that the vehicle side projection lamp displays the vehicle side safety distance.

[0147] Optionally, the processing module 10 is further used for:

[0148] Determine the driving action safety distance coefficient according to the current steering wheel angle, the current throttle opening and the preset driving action mapping relationship;

[0149] Determine an offset safety distance coefficient according to a mapping relationship between a lane offset distance and a preset offset distance;

[0150] Determine the fatigue safety distance coefficient based on the driver's fatigue level and the preset attention mapping relationship;

[0151] Determine a road environment safety distance coefficient based on road environment information and preset road environment mapping information;

[0152] A target safety distance coefficient is obtained according to the driving action safety distance coefficient, the deviation safety distance coefficient, the fatigue safety distance coefficient and the road environment safety distance coefficient.

[0153] Optionally, the processing module 10 is further used for:

[0154] Perform image analysis based on the external image information and preset visual algorithms to obtain driving light conditions, driving road conditions, and surrounding vehicle information;

[0155] The lane deviation distance is obtained by performing distance calculation according to the current curve curvature, the driving light condition, the driving road condition and the surrounding vehicle information.

[0156] Optionally, the processing module 10 is further used for:

[0157] The driver's condition calculation result is obtained based on the in-vehicle image information and the preset deep learning algorithm;

[0158] The driver's fatigue level is determined based on the driver condition calculation result.

[0159] Optionally, the processing module 10 is further used for:

[0160] Comprehensively analyzing the current steering wheel angle, the current throttle opening, the lane deviation distance, the driver's fatigue level, and the road environment information to obtain a current danger level;

[0161] Obtaining a weighted safety distance coefficient according to the current danger level and the target safety distance coefficient;

[0162] A target safety distance is obtained according to the initial safety distance and the weighted safety distance coefficient.

[0163] Optionally, the processing module 10 is further used for:

[0164] Obtaining a corresponding current dynamic coefficient according to the current danger level and a preset dynamic coefficient calculation method;

[0165] A weighted safety distance coefficient is obtained according to the target safety distance coefficient and the current dynamic coefficient.

[0166] Optionally, the processing module 10 is further used for:

[0167] When the danger level corresponding to the target safety distance coefficient is the first danger level, obtaining a weighted safety distance coefficient according to the first weighted coefficient, the target safety distance coefficient and the current dynamic coefficient;

[0168] When the danger level corresponding to the target safety distance coefficient is the second danger level, the weighted safety distance coefficient is obtained according to the second weighting coefficient, the target safety distance coefficient and the current dynamic coefficient, the second danger level is greater than the first danger level, and the second weighting coefficient is greater than the first weighting coefficient.

[0169] The vehicle side safety distance display device provided by the present application adopts the vehicle side safety distance display method in the above embodiment, which can solve the technical problem of how to avoid traffic accidents by displaying the safety distance to the side of the vehicle in a low-light environment. Compared with the prior art, the beneficial effects of the vehicle side safety distance display device provided by the present application are the same as the beneficial effects of the vehicle side safety distance display method provided by the above embodiment, and the other technical features of the vehicle side safety distance display device are the same as the features disclosed in the above embodiment method, which will not be repeated here.

[0170] The present application provides a vehicle-side safety distance display device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the vehicle-side safety distance display method in the above-mentioned embodiment one.

[0171] Reference below Fig.11, which shows a schematic diagram of the structure of a vehicle-side safety distance display device suitable for implementing an embodiment of the present application. The vehicle-side safety distance display device in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Fig.11 The vehicle-side safety distance display device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0172] like Fig.11 As shown, the vehicle-side safety distance display device may include a processing device 1001 (e.g., a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of the vehicle-side safety distance display device are also stored. The processing device 1001, ROM1002, and RAM1004 are connected to each other via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 1009. The communication device 1009 can allow the vehicle-side safety distance display device to communicate wirelessly or wired with other devices to exchange data. Although the figure shows a vehicle-side safety distance display device with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or provided alternatively.

[0173] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0174] The vehicle side safety distance display device provided by the present application adopts the vehicle side safety distance display method in the above embodiment, which can solve the technical problem of how to avoid traffic accidents by displaying the safety distance to the side of the vehicle in a low-light environment. Compared with the prior art, the beneficial effects of the vehicle side safety distance display device provided by the present application are the same as the beneficial effects of the vehicle side safety distance display method provided by the above embodiment, and the other technical features of the vehicle side safety distance display device are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0175] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0176] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0177] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, and the computer-readable program instructions are used to execute the vehicle-side safety distance display method in the above-mentioned embodiment.

[0178] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.

[0179] The computer-readable storage medium may be included in the vehicle-side safety distance display device; or may exist independently without being assembled into the vehicle-side safety distance display device.

[0180] The computer-readable storage medium carries one or more programs. When the one or more programs are executed by the vehicle-side safety distance display device, the vehicle-side safety distance display device: obtains an initial safety distance according to the current vehicle speed and a preset Polyankov model; calculates a safety distance coefficient according to the current steering wheel angle, the current throttle opening, the lane deviation distance, the driver's fatigue level and the road environment information to obtain a target safety distance coefficient; obtains a target safety distance according to the initial safety distance and the target safety distance coefficient; and sends the target safety distance to the vehicle-side projection light so that the vehicle-side projection light displays the vehicle-side safety distance.

[0181] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0182] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0183] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0184] The readable storage medium provided by the present application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned vehicle-side safety distance display method, and can solve the technical problem of how to avoid traffic accidents by displaying the vehicle-side safety distance in a low-light environment. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by the present application are the same as the beneficial effects of the vehicle-side safety distance display method provided by the above-mentioned embodiment, and will not be repeated here.

[0185] The present application also provides a computer program product, including a computer program, which implements the steps of the above-mentioned vehicle side safety distance display method when executed by a processor.

[0186] The computer program product provided by the present application can solve the technical problem of how to avoid traffic accidents by displaying the safe distance to the side of the vehicle in a low-light environment. Compared with the prior art, the beneficial effects of the computer program product provided by the present application are the same as the beneficial effects of the vehicle side safe distance display method provided by the above embodiment, and will not be repeated here.

[0187] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A method for displaying a vehicle side safety distance, characterized in that: The vehicle side safety distance display method comprises: The initial safety distance is obtained according to the current vehicle speed and the preset Polyankov model; The safety distance coefficient is calculated based on the current steering wheel angle, current throttle opening, lane deviation distance, driver fatigue level and road environment information to obtain the target safety distance coefficient; Obtaining a target safety distance according to the initial safety distance and the target safety distance coefficient; The target safety distance is sent to the vehicle side projection lamp, so that the vehicle side projection lamp displays the vehicle side safety distance.

2. The method according to claim 1, characterized in that The step of calculating the safety distance coefficient according to the current steering wheel angle, the current throttle opening, the lane deviation distance, the driver's fatigue level and the road environment information to obtain the target safety distance coefficient includes: Determine the driving action safety distance coefficient according to the current steering wheel angle, the current throttle opening and the preset driving action mapping relationship; Determine an offset safety distance coefficient according to a mapping relationship between a lane offset distance and a preset offset distance; Determine the fatigue safety distance coefficient based on the driver's fatigue level and the preset attention mapping relationship; Determine a road environment safety distance coefficient based on road environment information and preset road environment mapping information; A target safety distance coefficient is obtained according to the driving action safety distance coefficient, the deviation safety distance coefficient, the fatigue safety distance coefficient and the road environment safety distance coefficient.

3. The method according to claim 2, characterized in that Before the step of determining the offset safety distance coefficient according to the lane offset distance and the preset offset distance mapping relationship, the method further includes: Perform image analysis based on the external image information and preset visual algorithms to obtain driving light conditions, driving road conditions, and surrounding vehicle information; The lane deviation distance is obtained by performing distance calculation according to the current curve curvature, the driving light condition, the driving road condition and the surrounding vehicle information.

4. The method according to claim 2, characterized in that Before the step of determining the fatigue safety distance coefficient according to the driver's fatigue level and the preset attention mapping relationship, the method further includes: The driver's condition calculation result is obtained based on the in-vehicle image information and the preset deep learning algorithm; The driver's fatigue level is determined based on the driver condition calculation result.

5. The method according to claim 1, characterized in that The step of obtaining the target safety distance according to the initial safety distance and the target safety distance coefficient comprises: Comprehensively analyzing the current steering wheel angle, the current throttle opening, the lane deviation distance, the driver's fatigue level, and the road environment information to obtain a current danger level; Obtaining a weighted safety distance coefficient according to the current danger level and the target safety distance coefficient; A target safety distance is obtained according to the initial safety distance and the weighted safety distance coefficient.

6. The method according to claim 5, characterized in that The step of obtaining a weighted safety distance coefficient according to the current danger level and the target safety distance coefficient comprises: Obtaining a corresponding current dynamic coefficient according to the current danger level and a preset dynamic coefficient calculation method; A weighted safety distance coefficient is obtained according to the target safety distance coefficient and the current dynamic coefficient.

7. The method according to claim 6, characterized in that The step of obtaining a weighted safety distance coefficient according to the target safety distance coefficient and the current dynamic coefficient comprises: When the danger level corresponding to the target safety distance coefficient is the first danger level, obtaining a weighted safety distance coefficient according to the first weighted coefficient, the target safety distance coefficient and the current dynamic coefficient; When the danger level corresponding to the target safety distance coefficient is the second danger level, the weighted safety distance coefficient is obtained according to the second weighting coefficient, the target safety distance coefficient and the current dynamic coefficient, the second danger level is greater than the first danger level, and the second weighting coefficient is greater than the first weighting coefficient.

8. A vehicle side safety distance display device, characterized in that: The device comprises: A processing module, used for obtaining an initial safety distance according to a current vehicle speed and a preset Polyankov model; The processing module is further used to calculate the safety distance coefficient according to the current steering wheel angle, the current throttle opening, the lane deviation distance, the driver's fatigue level and the road environment information to obtain the target safety distance coefficient; The processing module is further used to obtain a target safety distance according to the initial safety distance and the target safety distance coefficient; The display module is used to send the target safety distance to the vehicle side projection lamp, so that the vehicle side projection lamp displays the vehicle side safety distance.

9. A vehicle side safety distance display device, characterized in that: The device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the vehicle side safety distance display method according to any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the vehicle-side safety distance display method according to any one of claims 1 to 7 are implemented.

Images