CN111222359A - Driving behavior evaluation method and device and server - Google Patents

Driving behavior evaluation method and device and server Download PDF

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Publication number
CN111222359A
CN111222359A CN201811408308.4A CN201811408308A CN111222359A CN 111222359 A CN111222359 A CN 111222359A CN 201811408308 A CN201811408308 A CN 201811408308A CN 111222359 A CN111222359 A CN 111222359A
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vehicle
current lane
water accumulation
area
lane
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马玎
唐丽雯
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Borgward Automotive China Co Ltd
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Borgward Automotive China Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/56Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
    • G06V20/588Recognition of the road, e.g. of lane markings; Recognition of the vehicle driving pattern in relation to the road
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393Score-carding, benchmarking or key performance indicator [KPI] analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/59Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
    • G06V20/597Recognising the driver's state or behaviour, e.g. attention or drowsiness

Abstract

The disclosure relates to a driving behavior evaluation method, a driving behavior evaluation device and a server. The method comprises the following steps: acquiring ponding distribution information in a current lane in front of a vehicle in the running process of the vehicle; judging whether the current lane is a side lane close to a pedestrian road or not; judging whether the ponding area in the current lane needs to be avoided or not according to the ponding distribution information; when the current lane is judged to be the side lane and the ponding area in the current lane needs to be avoided, acquiring the driving information of the vehicle passing through the ponding area in the current lane; and determining an evaluation result of the driving behavior of the vehicle passing through the water accumulation area in the current lane according to the driving information. The method provided by the disclosure can be used for evaluating the civilization degree of the driving behavior of the driver when the vehicle passes through the ponding area, and has the advantages of high accuracy of evaluation results and high automation degree.

Description

Driving behavior evaluation method and device and server
Technical Field
The disclosure relates to the field of vehicle control, in particular to a driving behavior evaluation method, a driving behavior evaluation device and a driving behavior evaluation server.
Background
At present, with the gradual popularization of vehicles, more and more people have driving licenses. Some undivided driving behavior is often visible on the road. For example, high beam lights are opened in urban roads, objects are thrown out from windows during driving, continuous whistling causes noise pollution, frequent line merging, lane snatching and the like.
During or after rainfall, due to uneven and uneven road surface, some water accumulation areas may exist in the road, and for a small water pit, when a vehicle passes through the water accumulation areas by treading, the problem is not great. However, if the water pit is large, when some inexplicable drivers directly drive to 'step on' water at a high speed to pass through the water pit, large water splash or large water waves are splashed, and water may be splashed onto other vehicles around or pedestrians, especially pedestrians, which causes great inconvenience to the pedestrians after being splashed with water, and thus complaints are caused.
In some cases, it is difficult for the driver to accurately judge the depth of the ponding area due to the influence of rainfall on the driver's sight line or other reasons, and the situation that pedestrians are splashed when the vehicle is running often occurs.
Disclosure of Invention
The invention aims to provide a quick and accurate driving behavior evaluation method and a device corresponding to the method, and provides a server.
In order to achieve the above object, the present disclosure provides a driving behavior evaluation method. The method comprises the following steps: acquiring ponding distribution information in a current lane in front of a vehicle in the running process of the vehicle; judging whether the current lane is a side lane close to a pedestrian road or not; judging whether the ponding area in the current lane needs to be avoided or not according to the ponding distribution information; when the current lane is judged to be the side lane and the ponding area in the current lane needs to be avoided, acquiring the driving information of the vehicle passing through the ponding area in the current lane; and determining an evaluation result of the driving behavior of the vehicle passing through the water accumulation area in the current lane according to the driving information.
Optionally, the step of acquiring the ponding distribution information in the current lane in front of the vehicle includes: acquiring a current rainfall and a road surface three-dimensional image of a current lane in front of the vehicle; and determining the ponding distribution information in the current lane in front of the vehicle according to the current rainfall and the three-dimensional road image.
Optionally, the step of judging whether the ponding area in the current lane needs to be avoided according to the ponding distribution information includes: and when the accumulated water depth of the accumulated water area in the current lane is greater than a preset depth threshold value and the accumulated water area of the accumulated water area in the current lane is greater than a preset area threshold value, judging that the accumulated water area in the current lane needs to be avoided.
Optionally, the step of determining an evaluation result of the driving behavior of the vehicle passing through the water accumulation area in the current lane according to the driving information includes any one or more of:
when the track of at least one side wheel of the vehicle passes through a water accumulation area and the speed of the vehicle is smaller than a first speed threshold value in the process from a preset distance threshold value before the water accumulation area in the current lane to the water accumulation area, determining that the evaluation result of the driving behavior is a first grade;
determining that the evaluation result of the driving behavior is the first grade when the vehicle travels through the water accumulation region in the current lane, the change in the distance between the vehicle and the lane line of the current lane is greater than a predetermined distance change threshold, and the track of the wheel close to the pedestrian road does not pass through the water accumulation region;
determining that the evaluation result of the driving behavior is the first level when the vehicle changes lane driving;
when the track of at least one side wheel of the vehicle passes through a water accumulation area and the speed of the vehicle is greater than the first speed threshold and less than the second speed threshold in the process from a preset distance threshold before the water accumulation area in the current lane to the passing of the water accumulation area, determining that the evaluation result of the driving behavior is in a second level;
when the track of at least one side wheel of the vehicle passes through a water accumulation area and the speed of the vehicle is greater than a second speed threshold value in the process from a preset distance threshold value before the water accumulation area in the current lane to the water accumulation area, determining that the evaluation result of the driving behavior is a third grade, wherein the first grade, the second grade and the third grade are sequentially grades from good to poor.
Optionally, the method further comprises: acquiring image information in the current lane; judging whether pedestrians exist in a preset range around the ponding area according to the image information,
wherein the step of determining an evaluation result of the driving behavior of the vehicle passing through the water accumulation area in the current lane according to the driving information includes any one or more of:
when the track of at least one side wheel of the vehicle passes through a water accumulation area and the speed of the vehicle is smaller than a first speed threshold value in the process from a preset distance threshold value before the water accumulation area in the current lane to the water accumulation area, determining that the evaluation result of the driving behavior is a first grade;
determining that the evaluation result of the driving behavior is the first grade when the vehicle travels through the water accumulation region in the current lane, the change in the distance between the vehicle and the lane line of the current lane is greater than a predetermined distance change threshold, and the track of the wheel close to the pedestrian road does not pass through the water accumulation region;
determining that the evaluation result of the driving behavior is the first level when the vehicle changes lane driving;
when it is determined that no pedestrian exists in the preset range, the track of at least one side wheel of the vehicle passes through a water accumulation region, and the speed of the vehicle is greater than the first speed threshold value and less than a second speed threshold value in the process from a preset distance threshold value before the water accumulation region in the current lane to the water accumulation region, determining that the evaluation result of the driving behavior is the first grade;
when it is determined that a pedestrian exists in the preset range, the track of at least one side wheel of the vehicle passes through the water accumulation region, and the speed of the vehicle is greater than the first speed threshold and less than the second speed threshold in the process from a preset distance threshold before the water accumulation region in the current lane to the time when the vehicle passes through the water accumulation region, determining that the evaluation result of the driving behavior is in a second level;
when the track of at least one side wheel of the vehicle passes through a water accumulation area and the speed of the vehicle is greater than a second speed threshold value in the process from a preset distance threshold value before the water accumulation area in the current lane to the water accumulation area, determining that the evaluation result of the driving behavior is a third grade, wherein the first grade, the second grade and the third grade are sequentially grades from good to poor.
Optionally, the first speed threshold and the second speed threshold are obtained by searching in a database storing a correspondence between speed and water distribution information, respectively.
Optionally, the method further comprises: scoring according to a plurality of evaluation results for the vehicle, wherein the third level of weight is greater than the first or second level of weight.
Optionally, the method further comprises: and when the evaluation result is that the evaluation result is below the second grade, the vehicle latches the video of the vehicle running through the water accumulation area in the current lane or sends the video to a server for storage.
The present disclosure also provides a driving behavior evaluation device, the device including: the first acquisition module is used for acquiring ponding distribution information in a current lane in front of a vehicle in the running process of the vehicle; the first judgment module is used for judging whether the current lane is a side lane close to a pedestrian road or not; the second judgment module is used for judging whether the ponding area in the current lane needs to be avoided or not according to the ponding distribution information; the second acquisition module is used for acquiring the driving information of the vehicle passing through the ponding area in the current lane when the current lane is judged to be the side lane and the ponding area in the current lane needs to be avoided; and the first determination module is used for determining the evaluation result of the driving behavior of the vehicle passing through the water accumulation area in the current lane according to the driving information.
The present disclosure also provides a server, comprising: a memory having a computer program stored thereon; a processor for executing the computer program in the memory to implement the steps of the driving behavior evaluation method provided by the present disclosure.
Through the technical scheme, when the vehicle is located on the side lane close to the pedestrian road, whether the ponding area needs to be avoided is determined according to the acquired ponding distribution information in the current lane in front of the vehicle, and when the ponding area needs to be avoided, the evaluation result of the driving is determined according to the running information of the vehicle passing through the ponding area. Because the driving information can reflect whether the driver takes the measures for avoiding splashing pedestrians to a certain extent, the method disclosed by the invention can be used for evaluating the civilization degree of the driving behavior of the driver when the vehicle passes through the water accumulation area, and the evaluation result has high accuracy and high automation degree.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure without limiting the disclosure. In the drawings:
FIG. 1 is a flow chart of a driving behavior evaluation method provided by an exemplary embodiment;
FIG. 2 is a schematic view of a vehicle passing through a water accumulation area according to an exemplary embodiment;
FIG. 3 is a schematic view of a vehicle passing through a water-retaining area in accordance with another exemplary embodiment;
FIG. 4 is a schematic illustration of a vehicle passing through a water-retaining area in accordance with yet another exemplary embodiment;
fig. 5 is a block diagram of a driving behavior evaluation device provided in an exemplary embodiment.
Detailed Description
The following detailed description of specific embodiments of the present disclosure is provided in connection with the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present disclosure, are given by way of illustration and explanation only, not limitation.
In the present disclosure, the use of directional terms such as "front, rear, left, right" is generally relative to the direction in which the vehicle normally travels, unless otherwise specified.
FIG. 1 is a flow chart of a driving behavior evaluation method provided by an exemplary embodiment. As shown in fig. 1, the method may include the following steps.
In step S11, acquiring ponding distribution information in a current lane ahead of the vehicle during the running of the vehicle;
in step S12, it is determined whether or not the current lane is a side lane close to the pedestrian road;
in step S13, whether the ponding area in the current lane needs to be avoided is determined according to the ponding distribution information;
in step S14, when it is determined that the current lane is the side lane and the ponding area in the current lane needs to be avoided, acquiring driving information of the vehicle passing through the ponding area in the current lane;
in step S15, the result of evaluation of the driving behavior of the vehicle through the water accumulation region in the current lane is determined based on the running information.
The ponding distribution information may include information such as a position, an area, and a depth of the ponding region. The accumulated water distribution information can be acquired in real time, for example, the vehicle-mounted camera device can acquire the depth distribution of the accumulated water area through the photosensitive effect, and mark the position of the accumulated water area on a high-precision electronic map according to the shot picture to acquire the area of the accumulated water area.
The ponding distribution information can also be obtained according to historical data provided by the car networking cloud platform. The vehicle networking cloud platform can store ponding region data of a current road under rainfall conditions, and the vehicle can call the historical data from the vehicle networking cloud platform as current ponding distribution information. For example, a database may be stored in the car networking cloud platform, the database stores a corresponding relationship between rainfall conditions and ponding distribution information, and the ponding distribution information corresponding to the current rainfall amount may be searched from the database.
The side lane is a lane close to the pedestrian road. The side lane is the rightmost lane when the intersection provides that the vehicle is traveling to the right, and the side lane is the leftmost lane when the intersection provides that the vehicle is traveling to the left. Since the side lane is closest to the pedestrian road, the vehicle on the side lane is most likely to splash the pedestrians when traveling through the water collection area. The side lane can be determined by GPS positioning, and can also be determined by acquiring images in front of the vehicle through a vehicle-mounted camera. For example, when there is a pedestrian image within a predetermined range on the right side in the image, it may be determined that the current lane is a side lane.
Some water accumulation areas have small water volume, even if the water accumulation areas are not avoided, the serious consequences of splashing pedestrians can not be generated, some water accumulation areas have large water volume, and if the water accumulation areas are not avoided, large water splash can be splashed. Whether the ponding area needs to be avoided or not can be judged according to the water quantity of the ponding area.
If the vehicle is currently located in the side lane and is judged to need to avoid, the vehicle can automatically acquire the running information passing through the ponding area in the current lane. The travel information may include state information of the vehicle in travel, such as a vehicle speed and a vehicle track. The driving behavior civilization degree of the driver when the vehicle passes through the water accumulation area can be evaluated by the running information.
Through the technical scheme, when the vehicle is located on the side lane close to the pedestrian road, whether the ponding area needs to be avoided is determined according to the acquired ponding distribution information in the current lane in front of the vehicle, and when the ponding area needs to be avoided, the evaluation result of the driving is determined according to the running information of the vehicle passing through the ponding area. Because the driving information can reflect whether the driver takes the measures for avoiding splashing pedestrians to a certain extent, the method disclosed by the invention can be used for evaluating the civilization degree of the driving behavior of the driver when the vehicle passes through the water accumulation area, and the evaluation result has high accuracy and high automation degree.
It should be noted that, the above steps may be adjusted in order without contradiction, for example, step S11 and step S12 may be executed simultaneously, or one of the steps may be executed first, and the other step may be executed later.
In still another embodiment, the step of acquiring the water distribution information in the current lane in front of the vehicle (step S11) may include the steps of:
acquiring a three-dimensional image of the current rainfall and a road surface of a current lane in front of a vehicle;
and determining the ponding distribution information in the current lane in front of the vehicle according to the current rainfall and the three-dimensional road image.
The road surface three-dimensional image of the current lane in front of the vehicle can be obtained from the Internet of vehicles cloud platform in advance. For example, the data may be collected and uploaded to the internet of vehicles cloud platform by other vehicles while traveling on the road segment. Alternatively, the Vehicle-to-Vehicle network may be used for transmitting the Vehicle-to-Vehicle network to the Vehicle after being collected by other vehicles in advance. The current rainfall may be obtained from a car networking cloud platform or the internet. The vehicle can establish a data model of the ponding area, and the ponding distribution information is calculated according to the rainfall and the road surface three-dimensional image.
In the embodiment, the ponding distribution information is calculated through the three-dimensional image, and the result accuracy is high.
In another embodiment, the step of determining whether the ponding area in the current lane needs to be avoided according to the ponding distribution information (step S13) may include: and when the water accumulation depth of the water accumulation area in the current lane is larger than a preset depth threshold value and the water accumulation area of the water accumulation area in the current lane is larger than a preset area threshold value, judging that the water accumulation area in the current lane needs to be avoided.
That is, when the accumulated water depth is greater than the predetermined depth threshold and the accumulated water area is greater than the predetermined area threshold, it can be considered that the water volume in the accumulated water area is large, and has a certain influence on pedestrians, and at this time, the accumulated water area needs to be avoided. If the ponding depth is greater than the preset depth threshold value and the ponding area is less than the preset area threshold value, or the ponding depth is less than the preset depth threshold value and the ponding area is greater than the preset area threshold value, the water volume in the ponding area can be considered to be small, the influence on pedestrians is small, and the ponding area does not need to be avoided. Wherein the depth threshold and the area threshold may be obtained empirically or experimentally.
In the embodiment, the influence on the pedestrians is judged by investigating the accumulated water quantity of the accumulated water area through the accumulated water area and depth, and the data processing is simple and fast.
In still another embodiment, in the embodiment of fig. 1, the step of determining the evaluation result of the driving behavior of the vehicle passing through the water accumulation area in the current lane from the traveling information (step S15) includes any one or more of:
(1) when the track of at least one side wheel of the vehicle passes through the water accumulation area and the speed of the vehicle is smaller than a first speed threshold value in the process from a preset distance threshold value before the water accumulation area in the current lane to the water accumulation area, determining that the evaluation result of the driving behavior is in a first grade;
(2) when the vehicle runs through the water accumulation area in the current lane, the change of the distance between the vehicle and the lane line of the current lane is larger than a preset distance change threshold value, and the track of the wheels close to the pedestrian road does not pass through the water accumulation area, determining that the evaluation result of the driving behavior is a first grade;
(3) when the vehicle changes lane driving, determining that the evaluation result of the driving behavior is a first grade;
(4) when the track of at least one side wheel of the vehicle passes through the water accumulation area and the speed of the vehicle is greater than a first speed threshold and less than a second speed threshold in the process of passing through the water accumulation area from a preset distance threshold before the water accumulation area in the current lane, determining that the evaluation result of the driving behavior is a second grade;
(5) and when the track of at least one side wheel of the vehicle passes through the water accumulation area and the speed of the vehicle is greater than a second speed threshold value in the process of passing through the water accumulation area from a preset distance threshold value before the water accumulation area in the current lane, determining that the evaluation result of the driving behavior is a third grade, wherein the first grade, the second grade and the third grade are sequentially grades from good to poor.
In this embodiment, the evaluation results are divided into a first grade, a second grade, and a third grade from good to bad. The first grade is considered that the driver takes better avoidance measures, the second grade is considered that the driving behavior of the driver is barely qualified, and the third grade is considered that the driving behavior of the driver is not civilized and no measures are taken to avoid accumulated water.
The three cases described above can be evaluated as the first grade. FIG. 2 is a schematic view of a vehicle passing through a water accumulation area according to an exemplary embodiment. Fig. 2 is a schematic diagram of the above case (1). As shown in fig. 2, the vehicle 1 travels on a side lane, and a pedestrian 2 is present on a sidewalk. The image in front of the vehicle is acquired through the vehicle-mounted camera 4, so that the ponding area 3 in the current lane in front of the vehicle 1 is identified. The broken line is the trajectory of the right wheel of the vehicle 1, and it can be seen that at least the trajectory P1 of the right wheel passes through the catchment area, and the speed of the vehicle 1 is less than the first speed threshold in the process from the predetermined distance threshold L1 before the catchment area in the current lane to the passage of the catchment area. In this case, it is acceptable whether or not the vehicle changes the course trajectory, but when passing through the water accumulation region, at least one tire trajectory of the vehicle passes through the water accumulation region.
Wherein the first velocity threshold is related to depth and area of the ponding water, and can be considered as safer velocity through the ponding area. The first speed threshold may be found by searching in a database storing a correspondence between speed and water distribution information. That is, a database may be established in advance, and the first speed threshold corresponding to the area and depth of the current ponding region may be found from the database. The first speed threshold may also be fixed, for example 10 km/h.
Whether the track of the wheel passes through the water accumulation region or not can be determined by the position of the water accumulation recognized in the image captured by the on-vehicle camera after the vehicle passes through the water accumulation region. For example, when the image of the water accumulation is always within a predetermined width range on the left side in the image while the vehicle passes through the water accumulation region, it can be considered that the track of the right wheel does not pass through the water accumulation region.
FIG. 3 is a schematic view of a vehicle passing through a water accumulation area according to another exemplary embodiment. Fig. 3 is a schematic diagram of the above case (2). As shown in fig. 3, the vehicle travels through the ponding region in the current lane. The change in the distance of the vehicle from the lane line of the current lane is greater than a predetermined distance change threshold, and it can be considered that the vehicle has changed the travel route within the current lane. The locus P2 of the wheels near the pedestrian road does not pass through the water accumulation region.
In this case, the vehicle changes the course trajectory, and the trajectory of the wheel near the pedestrian road does not pass through the water accumulation region when passing through the water accumulation region, and there is no limitation on the vehicle speed. In this way, it is also considered that the driver intentionally selects to bypass the water accumulation region in passing through the water accumulation region, thereby avoiding splashing.
FIG. 4 is a schematic view of a vehicle passing through a water-retaining area according to yet another exemplary embodiment. Fig. 4 is a schematic diagram of the above-described case (3). As shown in fig. 4, as can be seen from the travel locus P3 of the left wheel of the vehicle, the vehicle changes the lane on which the vehicle travels, and does not lie in the side lane when passing through the catchment area. Like this, on the one hand avoided ponding in the avris lane, on the other hand, the influence of ponding in non-avris lane is less to the pedestrian, and this kind of condition can be thought that the driver has taken better avoidance measures.
In the above case (4), the second speed threshold value may be considered to be a relatively safe speed passing through the stagnant water area in relation to the depth and area of the stagnant water, but may be considered to be a safe threshold value, since the second speed threshold value is greater than the first speed threshold value and is less safe than the first speed threshold value. The second speed threshold may be found by searching in a database storing a correspondence between speed and water distribution information. That is, a database may be established in advance, and the second speed threshold corresponding to the area and depth of the current ponding region may be searched from the database. The second speed threshold may also be fixed, for example 15 km/h.
In the above case (5), regardless of whether the vehicle has decelerated, when the vehicle speed is greater than the second speed threshold, it can be regarded as an undiluted driving behavior, and evaluated as the third level of the lowest level.
In yet another embodiment, the evaluation may be further based on whether there is a pedestrian in the pedestrian road. In this embodiment, on the basis of fig. 1, the method may further include: acquiring image information in a current lane; and judging whether pedestrians exist in a preset range around the ponding area or not according to the image information.
Wherein the step of determining the evaluation result of the driving behavior of the vehicle passing through the water accumulation area in the current lane from the traveling information (step S15) includes any one or more of:
(1) when the track of at least one side wheel of the vehicle passes through the water accumulation area and the speed of the vehicle is smaller than a first speed threshold value in the process from a preset distance threshold value before the water accumulation area in the current lane to the water accumulation area, determining that the evaluation result of the driving behavior is in a first grade;
(2) when the vehicle runs through the water accumulation area in the current lane, the change of the distance between the vehicle and the lane line of the current lane is larger than a preset distance change threshold value, and the track of the wheels close to the pedestrian road does not pass through the water accumulation area, determining that the evaluation result of the driving behavior is a first grade;
(3) when the vehicle changes lane driving, determining that the evaluation result of the driving behavior is a first grade;
(4-1) when it is determined that there is no pedestrian within the preset range, determining that the evaluation result of the driving behavior is a first level when the trajectory of at least one side wheel of the vehicle passes through the water accumulation region and the speed of the vehicle is greater than a first speed threshold value and less than a second speed threshold value in the process from a predetermined distance threshold value before the water accumulation region in the current lane to the passage of the water accumulation region;
(4-2) when it is determined that a pedestrian exists in the preset range, the track of at least one side wheel of the vehicle passes through the water accumulation region, and the speed of the vehicle is greater than the first speed threshold and less than the second speed threshold in the process from a preset distance threshold before the water accumulation region in the current lane to the water accumulation region, determining that the evaluation result of the driving behavior is in a second level;
(5) and when the track of at least one side wheel of the vehicle passes through the water accumulation area and the speed of the vehicle is greater than a second speed threshold value in the process of passing through the water accumulation area from a preset distance threshold value before the water accumulation area in the current lane, determining that the evaluation result of the driving behavior is a third grade, wherein the first grade, the second grade and the third grade are sequentially grades from good to poor.
Wherein, whether pedestrians exist in a preset range around the water accumulation area can be determined according to the image information. For example, when the height of a pedestrian identified in the image information is greater than a predetermined height, the distance to the pedestrian may be considered to be within a preset range. In addition, whether pedestrians exist in the preset range or not can be determined according to radar ranging or infrared ranging.
This embodiment differs from the previous embodiment in that when the trajectory of at least one side wheel of the vehicle passes through the catchment area and the vehicle speed is greater than the first speed threshold and less than the second speed threshold in the process from a predetermined distance threshold before the catchment area in the current lane to passing through the catchment area, if there is no pedestrian within a preset range, it is evaluated as a first level, i.e. still a better driving behavior. If the pedestrians are in the preset range, the pedestrian is evaluated as a second grade, and the pedestrian is not worth encouraging.
In the embodiment, different evaluation levels are determined according to the existence of pedestrians, so that the method is more humanized and more accurate in result.
In the above embodiment, the driving behavior of the driver passing through the water accumulation area once may be evaluated, and after a plurality of evaluations, the driving behavior of the driver may be comprehensively scored. In a further embodiment, on the basis of fig. 1, the method may further comprise: and scoring according to the multiple evaluation results of the vehicle. Wherein the weight of the third level is greater than the weight of the first level or the second level.
Each evaluation result may have a certain contribution to the scoring result. For example, the results of multiple evaluations may be weighted and summed. Setting the weight of the third level to be greater than the weight of the first level or the second level can highlight the influence of the bad driving behavior in the scoring result. For example, the third level may be twice as weighted as the first level or the second level, i.e., each evaluation as the third level, is considered to be evaluated as the third level twice, i.e., "doubled" in tables 1 and 2.
The above-described step of determining the evaluation result of the driving behavior of the vehicle through the water accumulation region in the current lane from the traveling information (step S15) may be performed by the vehicle or a server (e.g., an internet of vehicles platform). The method of the present disclosure may be applied to a vehicle or a server. When the vehicle-mounted information acquisition system is used for a server, the vehicle and the server can communicate with each other, and the acquired information is sent to the server.
In addition, the method may further include: when the evaluation result is the second level or less (including the second level and the third level), the video of the vehicle traveling through the ponding area in the current lane is latched by the vehicle. Wherein, the video of the vehicle passing through the ponding area can be obtained by a vehicle event data recorder. When evaluated as, for example, the second level and the third level, the video passing through the water accumulation area may be latched in the drive recorder or transmitted to the server to be stored by the server.
After the video is latched, the latched video cannot be deleted due to the rolling update of the data in the automobile data recorder. The latched video can be used as evidence of the driving habits of the driver inquired at a later date. The result of the scoring of the driver can be a credit record for the driver. For example, at the time of a vehicle rental, a lower scoring driver may result in an increase in the rental fee.
Tables 1 and 2 below are two examples for determining the evaluation results, respectively.
TABLE 1
Figure BDA0001877911770000131
TABLE 2
Figure BDA0001877911770000132
Wherein A is a first grade, B is a second grade, and C is a third grade.
Based on the same inventive concept, the present disclosure also provides a driving behavior evaluation device. Fig. 5 is a block diagram of a driving behavior evaluation device provided in an exemplary embodiment. As shown in fig. 5, the driving behavior evaluation device 10 may include a first acquisition module 11, a first determination module 12, a second determination module 13, a second acquisition module 14, and a first determination module 15.
The first obtaining module 11 is configured to obtain water distribution information in a current lane in front of a vehicle during a vehicle driving process.
The first judging module 12 is configured to judge whether the current lane is a side lane close to the pedestrian road.
The second judging module 13 is configured to judge whether the ponding area in the current lane needs to be avoided according to the ponding distribution information.
The second obtaining module 14 is configured to obtain driving information that the vehicle passes through the ponding area in the current lane when it is determined that the current lane is a side lane and the ponding area in the current lane needs to be avoided.
The first determination module 15 is configured to determine an evaluation result of a driving behavior of the vehicle passing through a water accumulation area in the current lane according to the driving information.
Optionally, the first obtaining module 11 may include a first obtaining sub-module and a first determining sub-module.
The first obtaining submodule is used for obtaining the current rainfall and a road surface three-dimensional image of a current lane in front of the vehicle.
The first determining submodule is used for determining ponding distribution information in a current lane in front of the vehicle according to the current rainfall and the three-dimensional road image.
Optionally, the second determination module 13 includes a first determination sub-module.
The first judgment submodule is used for judging that the ponding area in the current lane needs to be avoided when the ponding depth of the ponding area in the current lane is larger than a preset depth threshold value and the ponding area of the ponding area in the current lane is larger than a preset area threshold value.
Optionally, the first determination module 15 may include any one or more of the following: a second determination submodule, a third determination submodule, a fourth determination submodule, a fifth determination submodule, and a sixth determination submodule.
The second determining submodule is used for determining that the evaluation result of the driving behavior is the first grade when the track of at least one side wheel of the vehicle passes through the water accumulation area and the speed of the vehicle is smaller than the first speed threshold in the process from the preset distance threshold before the water accumulation area in the current lane to the water accumulation area;
the third determining submodule is used for determining that the evaluation result of the driving behavior is the first grade when the vehicle runs through the water accumulation area in the current lane, the change of the distance between the vehicle and the lane line of the current lane is larger than a preset distance change threshold value, and the track of the wheels close to the pedestrian road does not pass through the water accumulation area;
the fourth determining submodule is used for determining that the evaluation result of the driving behavior is the first grade when the vehicle changes lane driving;
the fifth determining submodule is used for determining that the evaluation result of the driving behavior is in a second grade when the track of at least one side wheel of the vehicle passes through the water accumulation area and the speed of the vehicle is greater than the first speed threshold and less than the second speed threshold in the process from a preset distance threshold before the water accumulation area in the current lane to the water accumulation area;
the sixth determining submodule is used for determining that the evaluation result of the driving behavior is a third grade when the track of at least one side wheel of the vehicle passes through the water accumulation area and the speed of the vehicle is greater than a second speed threshold in the process from a preset distance threshold before the water accumulation area in the current lane to the water accumulation area, wherein the first grade, the second grade and the third grade are successively the grades from good to poor.
Optionally, the apparatus 10 may further include a third obtaining module and a third determining module.
The third acquisition module is used for acquiring the image information in the current lane.
The third judging module is used for judging whether pedestrians exist in the preset range around the ponding area according to the image information.
In this embodiment, the first determination module 15 may include any one or more of the following: a second determination submodule, a third determination submodule, a fourth determination submodule, a sixth determination submodule, a seventh determination submodule, and an eighth determination submodule.
The second determining submodule is used for determining that the evaluation result of the driving behavior is in the first grade when the track of at least one side wheel of the vehicle passes through the water accumulation area and the speed of the vehicle is smaller than the first speed threshold value in the process from the preset distance threshold value before the water accumulation area in the current lane to the water accumulation area.
The third determining submodule is used for determining that the evaluation result of the driving behavior is the first grade when the vehicle runs through the water accumulation area in the current lane, the change of the distance between the vehicle and the lane line of the current lane is larger than the preset distance change threshold value, and the track of the wheels close to the pedestrian road does not pass through the water accumulation area.
The fourth determination submodule is configured to determine that the evaluation result of the driving behavior is the first rank when the vehicle changes lane driving.
The seventh determining submodule is used for determining that the evaluation result of the driving behavior is in the first grade when the track of at least one side wheel of the vehicle passes through the water accumulation area and the speed of the vehicle is greater than the first speed threshold and less than the second speed threshold in the process from the preset distance threshold before the water accumulation area in the current lane to the time when the vehicle passes through the water accumulation area.
The eighth determining submodule is used for determining that the evaluation result of the driving behavior is at the second level when the fact that a pedestrian exists in the preset range, the track of at least one side wheel of the vehicle passes through the water accumulation area, and the speed of the vehicle is larger than the first speed threshold and smaller than the second speed threshold in the process from the preset distance threshold before the water accumulation area in the current lane to the water accumulation area is judged.
The sixth determining submodule is used for determining that the evaluation result of the driving behavior is a third grade when the track of at least one side wheel of the vehicle passes through the water accumulation area and the speed of the vehicle is greater than a second speed threshold in the process from a preset distance threshold before the water accumulation area in the current lane to the water accumulation area, wherein the first grade, the second grade and the third grade are successively the grades from good to poor.
Optionally, the first speed threshold and the second speed threshold are obtained by searching in a database storing a correspondence between speed and water distribution information, respectively.
Optionally, the apparatus 10 may further comprise a scoring module.
The scoring module is used for scoring according to the multiple evaluation results of the vehicle, wherein the weight of the third grade is larger than the weight of the first grade or the second grade.
Optionally, the apparatus 10 may further comprise a latch module.
And the latch module is used for latching the video of the water accumulation area in the current lane when the vehicle or the server runs through the water accumulation area or sending the video to the server for storage when the evaluation result is below the second level.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
Based on the same inventive concept, the present disclosure also provides a server. The server includes a memory and a processor. The memory has stored thereon a computer program. The processor is used for executing the computer program in the memory to realize the steps of the driving behavior evaluation method provided by the disclosure.
The preferred embodiments of the present disclosure are described in detail with reference to the accompanying drawings, however, the present disclosure is not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solution of the present disclosure within the technical idea of the present disclosure, and these simple modifications all belong to the protection scope of the present disclosure.
It should be noted that the various features described in the above embodiments may be combined in any suitable manner without departing from the scope of the invention. In order to avoid unnecessary repetition, various possible combinations will not be separately described in this disclosure.
In addition, any combination of various embodiments of the present disclosure may be made, and the same should be considered as the disclosure of the present disclosure, as long as it does not depart from the spirit of the present disclosure.

Claims (10)

1. A driving behavior evaluation method, characterized in that the method comprises:
acquiring ponding distribution information in a current lane in front of a vehicle in the running process of the vehicle;
judging whether the current lane is a side lane close to a pedestrian road or not;
judging whether the ponding area in the current lane needs to be avoided or not according to the ponding distribution information;
when the current lane is judged to be the side lane and the ponding area in the current lane needs to be avoided, acquiring the driving information of the vehicle passing through the ponding area in the current lane;
and determining an evaluation result of the driving behavior of the vehicle passing through the water accumulation area in the current lane according to the driving information.
2. The method of claim 1, wherein the step of obtaining water distribution information within a current lane ahead of the vehicle comprises:
acquiring a current rainfall and a road surface three-dimensional image of a current lane in front of the vehicle;
and determining the ponding distribution information in the current lane in front of the vehicle according to the current rainfall and the three-dimensional road image.
3. The method according to claim 1, wherein the step of judging whether the ponding area in the current lane needs to be avoided according to the ponding distribution information comprises the following steps:
and when the accumulated water depth of the accumulated water area in the current lane is greater than a preset depth threshold value and the accumulated water area of the accumulated water area in the current lane is greater than a preset area threshold value, judging that the accumulated water area in the current lane needs to be avoided.
4. The method according to claim 1, characterized in that the step of determining an evaluation result of the driving behavior of the vehicle through the water accumulation area in the current lane from the travel information includes any one or more of:
when the track of at least one side wheel of the vehicle passes through a water accumulation area and the speed of the vehicle is smaller than a first speed threshold value in the process from a preset distance threshold value before the water accumulation area in the current lane to the water accumulation area, determining that the evaluation result of the driving behavior is a first grade;
determining that the evaluation result of the driving behavior is the first grade when the vehicle travels through the water accumulation region in the current lane, the change in the distance between the vehicle and the lane line of the current lane is greater than a predetermined distance change threshold, and the track of the wheel close to the pedestrian road does not pass through the water accumulation region;
determining that the evaluation result of the driving behavior is the first level when the vehicle changes lane driving;
when the track of at least one side wheel of the vehicle passes through a water accumulation area and the speed of the vehicle is greater than the first speed threshold and less than the second speed threshold in the process from a preset distance threshold before the water accumulation area in the current lane to the passing of the water accumulation area, determining that the evaluation result of the driving behavior is in a second level;
when the track of at least one side wheel of the vehicle passes through a water accumulation area and the speed of the vehicle is greater than a second speed threshold value in the process from a preset distance threshold value before the water accumulation area in the current lane to the water accumulation area, determining that the evaluation result of the driving behavior is a third grade, wherein the first grade, the second grade and the third grade are sequentially grades from good to poor.
5. The method of claim 1, further comprising:
acquiring image information in the current lane;
judging whether pedestrians exist in a preset range around the ponding area according to the image information,
wherein the step of determining an evaluation result of the driving behavior of the vehicle passing through the water accumulation area in the current lane according to the driving information includes any one or more of:
when the track of at least one side wheel of the vehicle passes through a water accumulation area and the speed of the vehicle is smaller than a first speed threshold value in the process from a preset distance threshold value before the water accumulation area in the current lane to the water accumulation area, determining that the evaluation result of the driving behavior is a first grade;
determining that the evaluation result of the driving behavior is the first grade when the vehicle travels through the water accumulation region in the current lane, the change in the distance between the vehicle and the lane line of the current lane is greater than a predetermined distance change threshold, and the track of the wheel close to the pedestrian road does not pass through the water accumulation region;
determining that the evaluation result of the driving behavior is the first level when the vehicle changes lane driving;
when it is determined that no pedestrian exists in the preset range, the track of at least one side wheel of the vehicle passes through a water accumulation region, and the speed of the vehicle is greater than the first speed threshold value and less than a second speed threshold value in the process from a preset distance threshold value before the water accumulation region in the current lane to the water accumulation region, determining that the evaluation result of the driving behavior is the first grade;
when it is determined that a pedestrian exists in the preset range, the track of at least one side wheel of the vehicle passes through the water accumulation region, and the speed of the vehicle is greater than the first speed threshold and less than the second speed threshold in the process from a preset distance threshold before the water accumulation region in the current lane to the time when the vehicle passes through the water accumulation region, determining that the evaluation result of the driving behavior is in a second level;
when the track of at least one side wheel of the vehicle passes through a water accumulation area and the speed of the vehicle is greater than a second speed threshold value in the process from a preset distance threshold value before the water accumulation area in the current lane to the water accumulation area, determining that the evaluation result of the driving behavior is a third grade, wherein the first grade, the second grade and the third grade are sequentially grades from good to poor.
6. The method according to claim 4 or 5, wherein the first speed threshold and the second speed threshold are obtained by searching in a database storing correspondence between speed and water distribution information, respectively.
7. The method according to claim 4 or 5, characterized in that the method further comprises:
scoring according to a plurality of evaluation results for the vehicle, wherein the third level of weight is greater than the first or second level of weight.
8. The method according to claim 4 or 5, characterized in that the method further comprises:
and when the evaluation result is that the evaluation result is below the second grade, the vehicle latches the video of the vehicle running through the water accumulation area in the current lane or sends the video to a server for storage.
9. A driving behavior evaluation device characterized by comprising:
the first acquisition module is used for acquiring ponding distribution information in a current lane in front of a vehicle in the running process of the vehicle;
the first judgment module is used for judging whether the current lane is a side lane close to a pedestrian road or not;
the second judgment module is used for judging whether the ponding area in the current lane needs to be avoided or not according to the ponding distribution information;
the second acquisition module is used for acquiring the driving information of the vehicle passing through the ponding area in the current lane when the current lane is judged to be the side lane and the ponding area in the current lane needs to be avoided;
and the first determination module is used for determining the evaluation result of the driving behavior of the vehicle passing through the water accumulation area in the current lane according to the driving information.
10. A server, characterized in that the server comprises:
a memory having a computer program stored thereon;
a processor for executing the computer program in the memory to carry out the steps of the driving behavior assessment method of any one of claims 1-8.
CN201811408308.4A 2018-11-23 2018-11-23 Driving behavior evaluation method and device and server Pending CN111222359A (en)

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