CN116714575A - Detection method for judging whether vehicles can pass through obstacle road sections - Google Patents

Detection method for judging whether vehicles can pass through obstacle road sections Download PDF

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Publication number
CN116714575A
CN116714575A CN202310662388.0A CN202310662388A CN116714575A CN 116714575 A CN116714575 A CN 116714575A CN 202310662388 A CN202310662388 A CN 202310662388A CN 116714575 A CN116714575 A CN 116714575A
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China
Prior art keywords
vehicle
obstacle
pass
information
distance
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Pending
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CN202310662388.0A
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Chinese (zh)
Inventor
肖珺妍
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Chongqing Zhaozhuo Software Design Center
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Chongqing Zhaozhuo Software Design Center
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Priority to CN202310662388.0A priority Critical patent/CN116714575A/en
Publication of CN116714575A publication Critical patent/CN116714575A/en
Pending legal-status Critical Current

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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
    • B60W30/08—Active safety systems predicting or avoiding probable or impending collision or attempting to minimise its consequences
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
    • B60W30/08—Active safety systems predicting or avoiding probable or impending collision or attempting to minimise its consequences
    • B60W30/095—Predicting travel path or likelihood of collision
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
    • B60W30/08—Active safety systems predicting or avoiding probable or impending collision or attempting to minimise its consequences
    • B60W30/095—Predicting travel path or likelihood of collision
    • B60W30/0953—Predicting travel path or likelihood of collision the prediction being responsive to vehicle dynamic parameters
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
    • B60W30/08—Active safety systems predicting or avoiding probable or impending collision or attempting to minimise its consequences
    • B60W30/095—Predicting travel path or likelihood of collision
    • B60W30/0956—Predicting travel path or likelihood of collision the prediction being responsive to traffic or environmental parameters
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/02—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to ambient conditions
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W50/0097—Predicting future conditions
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W50/0098—Details of control systems ensuring comfort, safety or stability not otherwise provided for
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W50/08—Interaction between the driver and the control system
    • B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2552/00—Input parameters relating to infrastructure
    • B60W2552/50—Barriers
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/10—Internal combustion engine [ICE] based vehicles
    • Y02T10/40—Engine management systems

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  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Traffic Control Systems (AREA)

Abstract

The embodiment of the invention relates to the technical field of auxiliary driving, and discloses a detection method for judging whether a vehicle can pass through an obstacle section, which comprises the following steps: acquiring image information of an obstacle road section; obtaining the distance between the obstacles at two sides according to the image information of the obstacle road section; and acquiring the vehicle width information, judging whether the vehicle can pass through the barriers at two sides, and if so, generating and transmitting vehicle passing information. By applying the technical scheme of the invention, the distance between the barriers at two sides is acquired for multiple times in the driving process, so that the accuracy of judging whether the vehicle can pass is improved; the intelligent judgment vehicle can pass through the obstacle, a driver is not required to comprehensively judge a plurality of images, the driver is assisted to make driving decisions in time, and collision between the vehicle and the obstacle due to insufficient time is avoided.

Description

Detection method for judging whether vehicles can pass through obstacle road sections
Technical Field
The embodiment of the invention relates to the technical field of auxiliary driving, in particular to a detection method for judging whether a vehicle can pass through an obstacle section.
Background
During the running process, the vehicle often encounters various complex road conditions, for example: through curves, tunnels, ramps, obstacle road segments and the like; when road sections such as bend, tunnel and ramp, the driver accessible is attended to and is observed and the security that slows down these road sections can effectively be improved, but when the barrier road section, because the shielding effect of preceding car and other practicality can cause the vision error of driver, whether the driver can't accurately judge can pass through the place ahead barrier road section.
Currently, vehicles are typically maneuvered through obstacle sections by 360 imaging systems, manual command, or by driving experience and driving intuition. The manual command mode has higher dependence on people, and when the route is complex, people cannot conveniently command on the corresponding road section; by virtue of driving experience and driving intuition, the driver is required to have rich experience; 360 imaging systems are expensive and many vehicles are not on-board.
Disclosure of Invention
In view of the above problems, the embodiment of the invention provides a detection method for judging whether a vehicle can pass through an obstacle section, which is used for solving the problems that the vehicle can not accurately judge the passing obstacle section and the cost is high in the prior art.
According to an aspect of the embodiment of the present invention, there is provided a detection method for determining whether a vehicle can pass through an obstacle section, the method including:
acquiring image information of an obstacle road section;
obtaining the distance between the obstacles at two sides according to the image information of the obstacle road section;
and acquiring the vehicle width information, judging whether the vehicle can pass through the barriers at two sides, and if so, generating and transmitting vehicle passing information.
In an optional manner, the step of obtaining the distance between the obstacles at two sides according to the image information of the obstacle section specifically includes: and acquiring the speed of the vehicle, the running time of the vehicle and the azimuth angle between the obstacle and the vehicle according to the image information of the obstacle road section, and acquiring the distance between the obstacles at two sides according to the speed of the vehicle, the running time of the vehicle and the azimuth angle between the obstacle and the vehicle.
In an alternative manner, the obstacle section image information, the vehicle passing information, and the vehicle body width information are transmitted to a server side.
In an optional manner, the method further comprises the steps of obtaining barrier height information according to the barrier road section image information, and sending the barrier height information to a server side.
In an alternative, the method further comprises transmitting a travel standard line forward of the vehicle.
In an optional manner, when the difference between the distance between the two side obstacles and the vehicle width is greater than a first preset difference, the distance between the driving standard line and the one side obstacle is adjusted to be the first preset distance.
In an optional manner, the method further comprises the steps of acquiring a running track of the vehicle and generating and sending vehicle adjustment information according to the running track.
According to another aspect of the embodiment of the present invention, there is provided a detection apparatus for determining whether a vehicle can pass through an obstacle section, including:
the acquisition module is used for acquiring image information of the obstacle road section;
the distance module is used for acquiring the distance between the obstacles at two sides according to the image information of the obstacle road section;
the processing module acquires the vehicle width information, judges whether the vehicle can pass through the barriers at two sides, and generates and transmits vehicle passing information if the vehicle can pass through the barriers at two sides.
In an alternative manner, the processing module is further configured to send the obstacle section image information, the vehicle traffic information, and the vehicle body width information to the server side.
In an alternative manner, the vehicle further comprises a guiding module for transmitting the driving standard line to the front of the vehicle.
According to the method and the device, the distance between the obstacles at two sides is acquired for multiple times in the driving process by acquiring the image information of the obstacle section, so that the numerical value between the obstacles at two sides is more accurate, the judgment accuracy of whether the vehicle can pass is improved, and a driver is assisted to control the vehicle to safely pass through the obstacle section; the cost for judging traffic of the obstacle road section is reduced through the image acquisition; the intelligent judgment of whether the vehicle can pass through the obstacle is performed without comprehensively judging a plurality of images by a driver, so that the driver is assisted in making a driving decision in time, and collision with the obstacle due to insufficient time is avoided; the vehicle traffic information is automatically generated, so that a driver can timely learn that an obstacle road section cannot pass through and timely redirect the road section, and traffic jam caused by the fact that the vehicle redirects in a short time is avoided.
The foregoing description is only an overview of the technical solutions of the embodiments of the present invention, and may be implemented according to the content of the specification, so that the technical means of the embodiments of the present invention can be more clearly understood, and the following specific embodiments of the present invention are given for clarity and understanding.
Drawings
The drawings are only for purposes of illustrating embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:
fig. 1 is a schematic flow chart of an embodiment of a detection method for judging whether a vehicle can pass through an obstacle section;
FIG. 2 shows a schematic view of a scene of a vehicle and two-sided obstacles of the present invention;
fig. 3 is a schematic structural diagram of an embodiment of a detection device for determining whether a vehicle can pass through an obstacle section according to the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present invention are shown in the drawings, it should be understood that the present invention may be embodied in various forms and should not be limited to the embodiments set forth herein.
Fig. 1 is a flowchart showing an embodiment of a detection method of determining whether a vehicle can pass through an obstacle section according to the present invention, which is performed by a detection device that determines whether a vehicle can pass through an obstacle section.
As shown in fig. 1, the method comprises the steps of:
step 110: and acquiring image information of the obstacle road section.
In the step, the image information of the obstacle road section is collected through the image collecting device arranged on the roof, the image collecting device is a camera, the AC-HX-P13G4C1 created in the south can be selected, the number of the image collecting devices can be multiple, and the distance value between the two sides of the obtained obstacle is more accurate through the image information of the obstacle road section of the multiple image collecting devices.
For example: acquiring image information of an obstacle road section by using a video sensor, preprocessing the image information, detecting edges of the image information, and finally obtaining a binarized image; and detecting lane lines between the left and right obstacles in the binarized image through a Hough algorithm.
And detecting the obstacle in the vicinity of the image corresponding to the distance in the area surrounded by the lane lines between the left obstacle and the right obstacle of the binarized image, so as to obtain information such as the width of the obstacle.
Step 120: and obtaining the distance between the obstacles at two sides according to the image information of the obstacle road section.
The method specifically comprises the following steps: and acquiring the speed of the vehicle, the running time of the vehicle and the azimuth angle between the obstacle and the vehicle according to the image information of the road section of the obstacle, and acquiring the distance between the obstacles at two sides according to the speed of the vehicle, the running time of the vehicle and the azimuth angle between the obstacle and the vehicle. As shown in fig. 2, the distance S travelled by the vehicle during the travel time can be obtained from the vehicle speed and the vehicle travel time 1 At the same time, the azimuth angle theta between the bottom of the obstacle opposite surface and the vehicle at the beginning and end of the travel time is obtained 1 And theta 2 And obtaining the distance between the barriers at two sides according to the calculation of the sine and cosine functions for a plurality of times. Specifically, firstly pass S 1 、θ 1 And theta 2 S is obtained 2 According to S 2 Finding the distance D between two side barriers, S 2 The calculation formula of (2) isD is calculated as d=s 2 *sinθ 2 . Acquiring the distance between barriers at two sides in an image acquisition mode, and in-carAnd the distance between the obstacles at the two sides is acquired for a plurality of times in the running process of the vehicle, and numerical value verification is carried out for a plurality of times, so that the judgment accuracy of whether the vehicle can pass through the obstacles at the two sides is improved, and the driver is assisted to pass through the obstacle section safely. The cost is relatively low by the mode of image acquisition, and the image acquisition device is easy to install.
Step 130: and acquiring the vehicle width information, judging whether the vehicle can pass through the barriers at two sides, and if so, generating and transmitting vehicle passing information.
The vehicle body width information includes: the vehicle body minimum width, the vehicle body maximum width and the vehicle type number are obtained from the internet of vehicles according to the license plate number of the current vehicle.
In the step, the maximum width of the vehicle body is compared with the distance between the barriers at the two sides, if the maximum width of the vehicle body is smaller than the distance between the barriers at the two sides, the current vehicle is judged to pass through the barriers at the two sides, and the vehicle passing information is generated and sent and can be specifically reported through the vehicle voice equipment to help the driver to operate the current vehicle to safely pass through the barrier road section. The vehicle passing information specifically includes: traffic information and attention security information.
In an alternative way, the obstacle section image information, the vehicle passing information, and the vehicle body width information are transmitted to the server side. The following vehicles of the current vehicle can acquire the situation of the obstacle road section through the access server, so that the following vehicles can deal with the situation in advance; according to the vehicle passing information and the vehicle width information, vehicles passing through the barriers at the two sides at present can be obtained, the vehicles with the same model or smaller vehicles than the current vehicles can quickly know whether the vehicles can pass through the barriers at the two sides at the front, other vehicles can be diverted in advance, the situation that too many vehicles form congestion at the barrier road sections is avoided, and the occurrence of collision accidents is reduced.
In an optional manner, the method further comprises the steps of obtaining obstacle height information according to the obstacle road section image information, and sending the obstacle height information to a server side. The part of vehicles is higher, the lower part of the vehicles has the structure that the width is smaller than the distance between the barriers at two sides, so that the part of vehicles can be judged, the variation of the running route of the vehicles is reduced, the excessive vehicles are avoided from changing lanes, the occurrence of traffic accidents is reduced, and meanwhile, the time for solving the problem of the driver can be shortened, and the driver can quickly reach the destination.
In an alternative, the method further comprises transmitting a travel standard line forward of the vehicle. In this step, laser is emitted by a laser emitting device to form a standard line, and the laser is red. The space between the barriers at two sides is limited, the driver is required to drive carefully, the driver is helped to adjust the route direction by guiding through the driving standard line, and the occurrence of collision accidents between the barriers is reduced.
For example: a laser emission device is arranged on a bumper in front of the vehicle to ensure that a laser line and the ground are kept horizontal; ensuring that the laser line height of the laser emitting device coincides with the hub height of the vehicle is typically about 1.5 meters. When the obstacle is required to pass in front of the vehicle, the obstacle distance is judged through image recognition, after the vehicle can pass, the laser emitting device can be automatically started, red laser is emitted to form a standard line, and the width of the vehicle is marked. The driver combines the road conditions in the front through observing the vehicle width that the laser line sign, adjusts the direction of travel to guarantee that the vehicle steadily passes through the barrier, avoid taking place the traffic accident.
In an optional manner, when the difference between the distance between the two side obstacles and the vehicle width is greater than a first preset difference, the distance between the driving standard line and the one side obstacle is the first preset distance. The vehicle is different, the width of the vehicle body is also different, and the distance between the driving standard line and the single-side obstacle is changed according to the width of the vehicle body, so that the vehicle is positioned in the middle of the obstacle section, the collision between the vehicle and the obstacles at two sides is avoided, and meanwhile, a driver can quickly pass through the obstacle section.
In an optional manner, the method further comprises the steps of acquiring a running track of the vehicle and generating and sending vehicle adjustment information according to the running track. The vehicle does not completely run straight in the running process, the space between the obstacles at two sides is limited, the vehicle can collide with the obstacles when running continuously according to the current running track, and the driver is informed of direction adjustment in advance by acquiring the running route. The vehicle adjustment information specifically includes: information such as a vehicle-restricted travel speed and a vehicle travel direction.
According to the method, the distance between the two side obstacles is acquired for multiple times in the driving process by acquiring the image information of the obstacle section, and multiple times of numerical value verification is carried out, so that the numerical value between the two side obstacles is more accurate, the judgment accuracy of whether the vehicle can pass is improved, and a driver is assisted to control the vehicle to pass through the obstacle section safely; the intelligent judgment of whether the vehicle can pass through the obstacle is performed without comprehensively judging a plurality of images by a driver, so that the driver is assisted in making a driving decision in time, and collision with the obstacle due to insufficient time is avoided; the vehicle passing information is automatically generated, so that a driver can timely learn that an obstacle road section cannot pass through and timely redirect the road section, and traffic jam caused by the fact that the vehicle is redirected in a short time is avoided; the vehicles of the same type or smaller than the current vehicles can quickly know whether the vehicles can pass through the barriers at the two sides in front, other vehicles can also be redirected in advance, so that the situation that too many vehicles form congestion on the barrier road section is avoided, and the occurrence of collision accidents is reduced; the part of vehicles is higher, the lower part of the vehicles has the structure that the width is smaller than the distance between the barriers at two sides, so that the part of vehicles can be judged, the variation of the running route of the vehicles is reduced, the excessive vehicles are avoided from changing lanes, the occurrence of traffic accidents is reduced, and meanwhile, the time for solving the problem of the driver can be shortened, and the driver can quickly reach the destination.
Fig. 3 is a schematic structural view showing an embodiment of a detecting device for judging whether a vehicle can pass through an obstacle section according to the present invention. As shown in fig. 3, the apparatus 300 includes: acquisition module 310, distance module 320, processing module 330, and direction module 340.
An acquisition module 310 for acquiring image information of an obstacle section;
a distance module 320, configured to obtain a distance between the obstacles at two sides according to the image information of the obstacle section;
the processing module 330 obtains the vehicle width information, determines whether the vehicle can pass between the obstacles on both sides, and if so, generates and transmits vehicle traffic information.
In an alternative manner, the distance module 320 obtains the vehicle speed, the vehicle running time, and the azimuth angle between the obstacle and the vehicle according to the image information of the obstacle section, and obtains the distance between the obstacles on both sides according to the vehicle speed, the vehicle running time, and the azimuth angle between the obstacle and the vehicle.
In an alternative manner, the processing module 330 is further configured to send the image information of the obstacle section, the vehicle traffic information, and the vehicle body width information to the server side.
In an alternative manner, the processing module 330 is further configured to obtain the obstacle height information according to the image information of the obstacle section, and send the obstacle height information to the server.
In an alternative manner, the vehicle further comprises a guiding module 340, wherein the guiding module 340 is used for transmitting the driving standard line to the front of the vehicle.
In an alternative manner, when the difference between the distance between the two side obstacles and the vehicle width is greater than the first preset difference, the guiding module 340 adjusts the distance between the driving standard line and the one side obstacle to be the first preset distance
In an alternative manner, the processing module 330 is further configured to collect a driving track of the vehicle, and generate and send vehicle adjustment information according to the driving track.
The acquisition module 310 acquires the image information of the obstacle section, the distance module 320 acquires the distance between the obstacles at two sides according to the image information of the obstacle section, the distance between the obstacles at two sides is acquired for a plurality of times in the driving process, and a plurality of times of numerical value verification is carried out, so that the numerical value between the obstacles at two sides is more accurate, the judgment accuracy of whether the vehicle can pass is improved, and the driver is assisted to control the vehicle to pass through the obstacle section safely; the processing module 330 obtains the vehicle width information, judges whether the vehicle can pass through between the barriers at two sides, if so, generates and transmits vehicle traffic information, intelligently judges whether the vehicle can pass through the barriers, does not need a driver to comprehensively judge a plurality of images, assists the driver in making driving decisions in time, avoids collision with the barriers due to insufficient time, and automatically generates vehicle traffic information, so that the driver can timely learn that the barrier section cannot pass through, and can timely redirect the vehicle, and traffic jam caused by the redirection in a short time is avoided.
In the description provided herein, numerous specific details are set forth. It will be appreciated, however, that embodiments of the invention may be practiced without such specific details. Similarly, in the above description of exemplary embodiments of the invention, various features of embodiments of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. Wherein the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the apparatus of the embodiments may be adaptively changed and disposed in one or more apparatuses different from the embodiments. The modules or units or components of the embodiments may be combined into one module or unit or component and, furthermore, they may be divided into a plurality of sub-modules or sub-units or sub-components. Except that at least some of such features and/or processes or elements are mutually exclusive.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The use of the words first, second, third, etc. do not denote any order. These words may be interpreted as names. The steps in the above embodiments should not be construed as limiting the order of execution unless specifically stated.

Claims (10)

1. A detection method for determining whether a vehicle can pass through an obstacle section, the method comprising:
acquiring image information of an obstacle road section;
obtaining the distance between the obstacles at two sides according to the image information of the obstacle road section;
and acquiring the vehicle width information, judging whether the vehicle can pass through the barriers at two sides, and if so, generating and transmitting vehicle passing information.
2. The method according to claim 1, wherein the step of acquiring the distance between the obstacles on both sides based on the image information of the obstacle section specifically comprises: and acquiring the speed of the vehicle, the running time of the vehicle and the azimuth angle between the obstacle and the vehicle according to the image information of the obstacle road section, and acquiring the distance between the obstacles at two sides according to the speed of the vehicle, the running time of the vehicle and the azimuth angle between the obstacle and the vehicle.
3. The method as recited in claim 1, further comprising: and sending the barrier road section image information, the vehicle passing information and the vehicle width information to a server side.
4. The method of claim 3, further comprising acquiring obstacle height information based on the obstacle section image information, and transmitting the obstacle height information to a server side.
5. The method of claim 1, further comprising transmitting a travel standard line forward of the vehicle.
6. The method of claim 1, wherein the distance between the standard line of travel and the one-sided obstacle is adjusted to a first predetermined distance when the difference between the distance between the two-sided obstacle and the vehicle body width is greater than a first predetermined difference.
7. The method of claim 1, further comprising obtaining a travel track of the vehicle and generating the transmission vehicle adjustment information based on the travel track.
8. A detection device for determining whether a vehicle can pass through an obstacle section, the device comprising:
the acquisition module is used for acquiring image information of the obstacle road section;
the distance module is used for acquiring the distance between the obstacles at two sides according to the image information of the obstacle road section;
the processing module acquires the vehicle width information, judges whether the vehicle can pass through the barriers at two sides, and generates and transmits vehicle passing information if the vehicle can pass through the barriers at two sides.
9. The detection device for judging whether the vehicle can pass through the obstacle road section is characterized in that the processing module is further used for sending the image information of the obstacle road section, the vehicle passing information and the vehicle width information to a server side.
10. The detection device for judging whether the vehicle can pass through the obstacle road section is characterized by further comprising a guiding module, wherein the guiding module is used for transmitting a running standard line to the front of the vehicle.
CN202310662388.0A 2023-06-06 2023-06-06 Detection method for judging whether vehicles can pass through obstacle road sections Pending CN116714575A (en)

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117549914A (en) * 2024-01-12 2024-02-13 钧捷科技（北京）有限公司 Vehicle-mounted vision auxiliary driving system and control method thereof

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117549914A (en) * 2024-01-12 2024-02-13 钧捷科技（北京）有限公司 Vehicle-mounted vision auxiliary driving system and control method thereof
CN117549914B (en) * 2024-01-12 2024-03-29 钧捷科技（北京）有限公司 Vehicle-mounted vision auxiliary driving system and control method thereof

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