CN111554093A - Real-time analysis system and method for traffic reference data - Google Patents
Real-time analysis system and method for traffic reference data Download PDFInfo
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- CN111554093A CN111554093A CN202010410062.5A CN202010410062A CN111554093A CN 111554093 A CN111554093 A CN 111554093A CN 202010410062 A CN202010410062 A CN 202010410062A CN 111554093 A CN111554093 A CN 111554093A
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- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
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Abstract
The invention relates to a real-time analysis system of traffic reference data, which comprises: the ultrasonic distance measuring mechanism is arranged at the front end of the vehicle and is used for measuring the distance from a front target to the front end of the vehicle; the signal conversion equipment is used for sending a frame extending signal when the distance from the front target to the front end of the vehicle is less than a preset distance threshold value, and otherwise, sending a frame retracting signal; and the frame body driving motor is respectively connected with the signal conversion equipment and the safety protection frame and is used for extending the safety protection frame out of the vehicle body at the front end of the vehicle and fixing the safety protection frame on the front end of the vehicle when receiving the frame body extending signal. The invention also relates to a real-time analysis method of the traffic reference data. The real-time analysis system and method for the traffic reference data are wide in application and have a certain automation level. Since the feasibility of the vehicle for keeping the current speed around the front crack is judged under the condition of acquiring a plurality of related parameters, important driving assistance data is provided for the driver of the vehicle.
Description
Technical Field
The invention relates to the field of vehicle control, in particular to a real-time traffic reference data analysis system and method.
Background
The automatic vehicle control is realized by applying some automatic control technologies to a traffic system, and the original improvement of mechanical performance is developed into assistance or partial or complete replacement of human operation, so that the aims of reducing accidents caused by human limitation, lightening driving strength, improving traffic efficiency and reducing pollution are fulfilled.
The vehicle speed control is control in the traveling speed direction, that is, the automatic control cruise control of the vehicle speed and the distance between the host vehicle and the front and rear vehicles or the obstacle is longitudinal control. Such control problems can be attributed to control of engine output and braking. Various engine models, automobile running models and braking process models are combined with different controller algorithms to form various longitudinal control modes
The purpose of intelligent transportation systems is to use roads and vehicles efficiently. Increasing traffic flow on the same road increases vehicle speed and decreases inter-vehicle distance. When these indexes are increased to a certain extent, the human handling ability cannot meet the safety requirements. It is therefore also a goal of automotive technology to reduce the effort and complexity of driving. The control target is developed from the prior improvement of mechanical performance into the auxiliary or partial or complete replacement of human operation, so that the aims of reducing accidents caused by human limitation, lightening the driving strength, improving the traffic efficiency and reducing pollution are achieved.
Disclosure of Invention
In order to solve the related technical problems in the prior art, the invention provides a system and a method for analyzing traffic reference data in real time, which are used for judging the feasibility of the vehicle for keeping the current speed to bypass the front crack under the condition of acquiring a plurality of related parameters, so that important driving auxiliary data are provided for a vehicle driver.
For this reason, the present invention needs to have several important points:
(1) the method comprises the steps that the length of a front longest crack, the distance from a vehicle to the vehicle and the current speed of the vehicle are detected in real time, so that the feasibility that the vehicle bypasses the length of the longest crack within the distance to keep passing is judged according to the current speed, and therefore key and reliable passing reference data are provided for a driver;
(2) the automatic telescopic control mechanism of the safety protection frame is introduced, so that the safety protection frame is started to perform safety protection only when a front target is too close, and the attractiveness of the appearance of a vehicle is ensured while the safety of the vehicle is maintained.
According to an aspect of the present invention, there is provided a system for real-time parsing of traffic reference data, the system including:
the ultrasonic distance measuring mechanism is arranged at the front end of the vehicle, is internally provided with an ultrasonic generator, an ultrasonic receiver and a single chip microcomputer and is used for measuring the distance from a front target to the front end of the vehicle;
the signal conversion equipment is connected with the ultrasonic ranging mechanism and used for sending a frame body stretching signal when the distance from the front target to the front end of the vehicle is less than a preset distance threshold value and sending a frame body shrinking signal when the distance from the front target to the front end of the vehicle is more than or equal to the preset distance threshold value;
the frame body driving motor is respectively connected with the signal conversion equipment and the safety protection frame and is used for extending the safety protection frame out of the vehicle body at the front end of the vehicle and fixing the safety protection frame on the front end of the vehicle when receiving the extending frame body signal;
the content acquisition equipment is arranged at the center of the front end of the vehicle and is used for acquiring image data of a scene in front of the running vehicle so as to output a corresponding real-time acquired image;
the target identification mechanism is connected with the content acquisition equipment and is used for identifying more than one crack imaging area from the real-time acquired image based on the color imaging characteristics of the road crack;
a data analysis device connected with the target identification mechanism and used for executing the following operations on each crack imaging area: acquiring each horizontal pixel row forming the crack imaging area, and outputting the number of pixel points occupied by the longest horizontal pixel row as a reference number;
the parameter identification device is connected with the data analysis device and is used for performing the following operations on the fracture imaging area with the maximum reference number: calculating the entity length of the corresponding road crack based on the reference number and the imaging depth of field of the corresponding crack, and calculating the actual distance from the corresponding road crack to the vehicle based on the imaging depth of field of the corresponding crack;
and the passing judgment device is connected with the parameter identification device and used for judging the feasibility of passing of the vehicle by bypassing the actual length within the actual distance according to the current vehicle speed based on the current vehicle speed, the actual distance and the entity length of the vehicle.
According to another aspect of the present invention, there is also provided a real-time traffic reference data parsing method, including:
an ultrasonic distance measuring mechanism is arranged at the front end of the vehicle, and is internally provided with an ultrasonic generator, an ultrasonic receiver and a single chip microcomputer and used for measuring the distance from a front target to the front end of the vehicle;
the signal conversion equipment is connected with the ultrasonic ranging mechanism and used for sending a frame extending signal when the distance from the front target to the front end of the vehicle is less than a preset distance threshold value and sending a frame retracting signal when the distance from the front target to the front end of the vehicle is more than or equal to the preset distance threshold value;
a frame body driving motor is used, is respectively connected with the signal conversion equipment and the safety protection frame, and is used for extending the safety protection frame out of the vehicle body at the front end of the vehicle and fixing the safety protection frame on the front end of the vehicle when receiving the extending frame body signal;
the content acquisition equipment is arranged in the center of the front end of the vehicle and used for acquiring image data of a scene in front of the running vehicle so as to output a corresponding real-time acquired image;
using a target identification mechanism, connected to the content capture device, for identifying one or more fracture imaging regions from the real-time captured image based on color imaging characteristics of the roadway fracture;
using a data analysis device connected to the target evaluation means for performing the following operations for each fracture imaging zone: acquiring each horizontal pixel row forming the crack imaging area, and outputting the number of pixel points occupied by the longest horizontal pixel row as a reference number;
using a parameter identification device, connected to the data analysis device, for performing the following operations on the fracture imaging region with the largest reference number: calculating the entity length of the corresponding road crack based on the reference number and the imaging depth of field of the corresponding crack, and calculating the actual distance from the corresponding road crack to the vehicle based on the imaging depth of field of the corresponding crack;
and the passing judgment equipment is connected with the parameter identification equipment and used for judging the feasibility of passing the vehicle by bypassing the actual length within the actual distance according to the current speed of the vehicle based on the current speed, the actual distance and the entity length of the vehicle.
The real-time analysis system and method for the traffic reference data are wide in application and have a certain automation level. Since the feasibility of the vehicle for keeping the current speed around the front crack is judged under the condition of acquiring a plurality of related parameters, important driving assistance data is provided for the driver of the vehicle.
Detailed Description
Embodiments of the real-time transit reference data parsing system and method of the present invention will be described in detail below.
When longitudinal and transverse automatic control is realized, the operation of the vehicle can be automatically controlled according to given targets and constraints. Thus, autopilot is a combination of longitudinal and lateral control, from the perspective of the vehicle itself. However, to actually realize the point-to-point automatic driving operation, the vehicle control system must acquire detailed dynamic information of road and surrounding traffic conditions and have highly intelligent control performance. The perfect traffic information system, the high-performance and high-reliability on-board sensor and the intelligent control system are important prerequisites for realizing automatic driving. Because of the difficulty of point-to-point automatic driving, people propose a concept of realizing an automatic driving road section firstly, namely, an automatic driving road section is opened up in a high-speed road section with concise road conditions, automatic driving can be started when the road section enters the automatic driving road section, and manual operation is carried out when the road section exits the automatic driving road section.
The driving safety refers to the ability of the automobile to prevent traffic accidents such as rollover and collision during driving. It is mainly determined by the braking performance, the operation stability, the steering characteristic of the automobile and the completeness of the master and slave safety facilities such as lamplight, safety signals, safety belts, safety airbags and the like.
Security to prevent the disclosure of confidential documents within a computer to an unrelated user, some security measure must be taken, and how effective these measures are called the security or privacy of the computer system. The ability of the architectural structure to withstand the various effects that may occur during normal construction and normal use conditions, and to maintain the necessary overall stability during and after an accident.
However, currently, during the driving of the vehicle, the feasibility of the vehicle to keep the current speed around the front crack cannot be automatically determined, so that important driving assistance data cannot be provided for the driver of the vehicle.
In order to overcome the defects, the invention builds a system and a method for analyzing the traffic reference data in real time, and can effectively solve the corresponding technical problems.
The real-time traffic reference data analysis system shown according to the embodiment of the invention comprises:
the ultrasonic distance measuring mechanism is arranged at the front end of the vehicle, is internally provided with an ultrasonic generator, an ultrasonic receiver and a single chip microcomputer and is used for measuring the distance from a front target to the front end of the vehicle;
the signal conversion equipment is connected with the ultrasonic ranging mechanism and used for sending a frame body stretching signal when the distance from the front target to the front end of the vehicle is less than a preset distance threshold value and sending a frame body shrinking signal when the distance from the front target to the front end of the vehicle is more than or equal to the preset distance threshold value;
the frame body driving motor is respectively connected with the signal conversion equipment and the safety protection frame and is used for extending the safety protection frame out of the vehicle body at the front end of the vehicle and fixing the safety protection frame on the front end of the vehicle when receiving the extending frame body signal;
the content acquisition equipment is arranged at the center of the front end of the vehicle and is used for acquiring image data of a scene in front of the running vehicle so as to output a corresponding real-time acquired image;
the target identification mechanism is connected with the content acquisition equipment and is used for identifying more than one crack imaging area from the real-time acquired image based on the color imaging characteristics of the road crack;
a data analysis device connected with the target identification mechanism and used for executing the following operations on each crack imaging area: acquiring each horizontal pixel row forming the crack imaging area, and outputting the number of pixel points occupied by the longest horizontal pixel row as a reference number;
the parameter identification device is connected with the data analysis device and is used for performing the following operations on the fracture imaging area with the maximum reference number: calculating the entity length of the corresponding road crack based on the reference number and the imaging depth of field of the corresponding crack, and calculating the actual distance from the corresponding road crack to the vehicle based on the imaging depth of field of the corresponding crack;
and the passing judgment device is connected with the parameter identification device and used for judging the feasibility of passing of the vehicle by bypassing the actual length within the actual distance according to the current vehicle speed based on the current vehicle speed, the actual distance and the entity length of the vehicle.
Next, the detailed structure of the real-time traffic reference data analysis system of the present invention will be further described.
In the real-time traffic reference data analyzing system:
and the frame body driving motor is also used for retracting the safety protection frame from the front end of the vehicle and placing the safety protection frame into the vehicle body at the front end of the vehicle when receiving the frame body retracting signal.
In the real-time traffic reference data analyzing system:
calculating the entity length of the corresponding road crack based on the reference number and the imaging depth of field of the corresponding crack comprises the following steps: under the condition that other parameters are not changed, the reference quantity or the imaging depth of field of the corresponding crack and the entity length of the corresponding road crack are in a monotonous positive correlation relationship.
In the real-time traffic reference data analyzing system:
calculating the actual distance of the corresponding road crack from the vehicle based on the imaging depth of the corresponding crack comprises the following steps: the deeper the imaging depth of field of the corresponding crack is, the farther the actual distance between the road crack corresponding to the crack and the vehicle is obtained through calculation.
The real-time traffic reference data analyzing system further comprises:
and the speed detection mechanism is arranged in the vehicle, is respectively connected with the driving wheel of the vehicle and the passing judgment equipment, and is used for detecting the current speed of the vehicle.
The real-time traffic reference data analysis method disclosed by the embodiment of the invention comprises the following steps:
an ultrasonic distance measuring mechanism is arranged at the front end of the vehicle, and is internally provided with an ultrasonic generator, an ultrasonic receiver and a single chip microcomputer and used for measuring the distance from a front target to the front end of the vehicle;
the signal conversion equipment is connected with the ultrasonic ranging mechanism and used for sending a frame extending signal when the distance from the front target to the front end of the vehicle is less than a preset distance threshold value and sending a frame retracting signal when the distance from the front target to the front end of the vehicle is more than or equal to the preset distance threshold value;
a frame body driving motor is used, is respectively connected with the signal conversion equipment and the safety protection frame, and is used for extending the safety protection frame out of the vehicle body at the front end of the vehicle and fixing the safety protection frame on the front end of the vehicle when receiving the extending frame body signal;
the content acquisition equipment is arranged in the center of the front end of the vehicle and used for acquiring image data of a scene in front of the running vehicle so as to output a corresponding real-time acquired image;
using a target identification mechanism, connected to the content capture device, for identifying one or more fracture imaging regions from the real-time captured image based on color imaging characteristics of the roadway fracture;
using a data analysis device connected to the target evaluation means for performing the following operations for each fracture imaging zone: acquiring each horizontal pixel row forming the crack imaging area, and outputting the number of pixel points occupied by the longest horizontal pixel row as a reference number;
using a parameter identification device, connected to the data analysis device, for performing the following operations on the fracture imaging region with the largest reference number: calculating the entity length of the corresponding road crack based on the reference number and the imaging depth of field of the corresponding crack, and calculating the actual distance from the corresponding road crack to the vehicle based on the imaging depth of field of the corresponding crack;
and the passing judgment equipment is connected with the parameter identification equipment and used for judging the feasibility of passing the vehicle by bypassing the actual length within the actual distance according to the current speed of the vehicle based on the current speed, the actual distance and the entity length of the vehicle.
Next, the specific steps of the real-time traffic reference data parsing method of the present invention will be further described.
The real-time traffic reference data analysis method comprises the following steps:
and the frame body driving motor is also used for retracting the safety protection frame from the front end of the vehicle and placing the safety protection frame into the vehicle body at the front end of the vehicle when receiving the frame body retracting signal.
The real-time traffic reference data analysis method comprises the following steps:
calculating the entity length of the corresponding road crack based on the reference number and the imaging depth of field of the corresponding crack comprises the following steps: under the condition that other parameters are not changed, the reference quantity or the imaging depth of field of the corresponding crack and the entity length of the corresponding road crack are in a monotonous positive correlation relationship.
The real-time traffic reference data analysis method comprises the following steps:
calculating the actual distance of the corresponding road crack from the vehicle based on the imaging depth of the corresponding crack comprises the following steps: the deeper the imaging depth of field of the corresponding crack is, the farther the actual distance between the road crack corresponding to the crack and the vehicle is obtained through calculation.
The real-time analysis method for the passage reference data further comprises the following steps:
the speed detection mechanism is arranged in the vehicle, is respectively connected with the driving wheel of the vehicle and the passing judgment equipment, and is used for detecting the current speed of the vehicle.
In addition, ultrasonic waves are often used for measuring distances because of their strong directivity, slow energy consumption and long propagation distance in a medium, and such as distance meters and level gauges, etc., can be realized by ultrasonic waves. The ultrasonic detection is often relatively rapid and convenient, the calculation is simple, the real-time control is easy to realize, and the industrial requirement on the aspect of measurement precision can be met.
Many ultrasonic generators have been designed and built for the purpose of studying and utilizing ultrasonic waves. Generally, ultrasonic generators can be divided into two main categories: one is to generate ultrasonic waves electrically and the other is to generate ultrasonic waves mechanically. The electric system includes a piezoelectric type, a magnetostrictive type, an electrodynamic type, and the like; mechanical methods include a flute, a liquid whistle, and a cyclone whistle. The frequency, power and acoustic characteristics of the ultrasonic waves generated by them are different, and thus the applications are different. Piezoelectric ultrasonic generators are currently used.
Piezoelectric ultrasound generators actually operate using the resonance of a piezoelectric crystal. The ultrasonic generator is internally provided with two piezoelectric wafers and a resonance plate. When pulse signals are applied to two poles of the piezoelectric crystal, and the frequency of the pulse signals is equal to the natural oscillation frequency of the piezoelectric crystal, the piezoelectric crystal can resonate, and the resonance plate is driven to vibrate, so that ultrasonic waves are generated. On the contrary, if no voltage is applied between the two electrodes, when the resonance plate receives ultrasonic waves, the piezoelectric wafer is pressed to vibrate, mechanical energy is converted into an electric signal, and then the resonance plate becomes an ultrasonic receiver.
The principle of ultrasonic ranging is as follows: the ultrasonic transmitter transmits ultrasonic waves to a certain direction, timing is started at the same time of transmitting time, the ultrasonic waves are transmitted in the air and return immediately when encountering an obstacle in the process, and the ultrasonic receiver stops timing immediately when receiving reflected waves. The propagation speed of the ultrasonic wave in the air is 340m/s, and the distance(s) of the transmitting point from the obstacle can be calculated according to the time t recorded by the timer, namely: and s is 340 t/2. This is the so-called time difference ranging method. The principle of ultrasonic ranging is that the propagation speed of ultrasonic waves in the air is known, the time of the sound waves reflected back when encountering an obstacle after being transmitted is measured, and the actual distance from a transmitting point to the obstacle is calculated according to the time difference between transmitting and receiving. It follows that the principles of ultrasonic ranging are the same as those of radar.
However, in practice, the propagation velocity of the ultrasonic wave in the air is a variable, and the propagation velocity of the ultrasonic wave in the air is different according to the ambient temperature, so in order to improve the accuracy of the ultrasonic distance measurement, it is necessary to calculate the propagation velocity of the ultrasonic wave in the air according to the ambient temperature first.
The ultrasonic ranging is mainly applied to distance measurement of car backing reminding, construction sites, industrial sites and the like, and although the current ranging range can reach one hundred meters, the measurement precision can only reach centimeter magnitude order.
Finally, it should be noted that each functional device in the embodiments of the present invention may be integrated into one processing device, or each device may exist alone physically, or two or more devices may be integrated into one device.
The functions, if implemented in the form of software-enabled devices and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A system for real-time parsing of traffic reference data, the system comprising:
the ultrasonic distance measuring mechanism is arranged at the front end of the vehicle, is internally provided with an ultrasonic generator, an ultrasonic receiver and a single chip microcomputer and is used for measuring the distance from a front target to the front end of the vehicle;
the signal conversion equipment is connected with the ultrasonic ranging mechanism and used for sending a frame body stretching signal when the distance from the front target to the front end of the vehicle is less than a preset distance threshold value and sending a frame body shrinking signal when the distance from the front target to the front end of the vehicle is more than or equal to the preset distance threshold value;
the frame body driving motor is respectively connected with the signal conversion equipment and the safety protection frame and is used for extending the safety protection frame out of the vehicle body at the front end of the vehicle and fixing the safety protection frame on the front end of the vehicle when receiving the extending frame body signal;
the content acquisition equipment is arranged at the center of the front end of the vehicle and is used for acquiring image data of a scene in front of the running vehicle so as to output a corresponding real-time acquired image;
the target identification mechanism is connected with the content acquisition equipment and is used for identifying more than one crack imaging area from the real-time acquired image based on the color imaging characteristics of the road crack;
a data analysis device connected with the target identification mechanism and used for executing the following operations on each crack imaging area: acquiring each horizontal pixel row forming the crack imaging area, and outputting the number of pixel points occupied by the longest horizontal pixel row as a reference number;
the parameter identification device is connected with the data analysis device and is used for performing the following operations on the fracture imaging area with the maximum reference number: calculating the entity length of the corresponding road crack based on the reference number and the imaging depth of field of the corresponding crack, and calculating the actual distance from the corresponding road crack to the vehicle based on the imaging depth of field of the corresponding crack;
and the passing judgment device is connected with the parameter identification device and used for judging the feasibility of passing of the vehicle by bypassing the actual length within the actual distance according to the current vehicle speed based on the current vehicle speed, the actual distance and the entity length of the vehicle.
2. The real-time traffic reference data parsing system of claim 1, wherein:
and the frame body driving motor is also used for retracting the safety protection frame from the front end of the vehicle and placing the safety protection frame into the vehicle body at the front end of the vehicle when receiving the frame body retracting signal.
3. The real-time traffic reference data parsing system of claim 2, wherein:
calculating the entity length of the corresponding road crack based on the reference number and the imaging depth of field of the corresponding crack comprises the following steps: under the condition that other parameters are not changed, the reference quantity or the imaging depth of field of the corresponding crack and the entity length of the corresponding road crack are in a monotonous positive correlation relationship.
4. The real-time traffic reference data parsing system of claim 3, wherein:
calculating the actual distance of the corresponding road crack from the vehicle based on the imaging depth of the corresponding crack comprises the following steps: the deeper the imaging depth of field of the corresponding crack is, the farther the actual distance between the road crack corresponding to the crack and the vehicle is obtained through calculation.
5. The real-time traffic reference data parsing system of claim 4, wherein the system further comprises:
and the speed detection mechanism is arranged in the vehicle, is respectively connected with the driving wheel of the vehicle and the passing judgment equipment, and is used for detecting the current speed of the vehicle.
6. A real-time traffic reference data analysis method is characterized by comprising the following steps:
an ultrasonic distance measuring mechanism is arranged at the front end of the vehicle, and is internally provided with an ultrasonic generator, an ultrasonic receiver and a single chip microcomputer and used for measuring the distance from a front target to the front end of the vehicle;
the signal conversion equipment is connected with the ultrasonic ranging mechanism and used for sending a frame extending signal when the distance from the front target to the front end of the vehicle is less than a preset distance threshold value and sending a frame retracting signal when the distance from the front target to the front end of the vehicle is more than or equal to the preset distance threshold value;
a frame body driving motor is used, is respectively connected with the signal conversion equipment and the safety protection frame, and is used for extending the safety protection frame out of the vehicle body at the front end of the vehicle and fixing the safety protection frame on the front end of the vehicle when receiving the extending frame body signal;
the content acquisition equipment is arranged in the center of the front end of the vehicle and used for acquiring image data of a scene in front of the running vehicle so as to output a corresponding real-time acquired image;
using a target identification mechanism, connected to the content capture device, for identifying one or more fracture imaging regions from the real-time captured image based on color imaging characteristics of the roadway fracture;
using a data analysis device connected to the target evaluation means for performing the following operations for each fracture imaging zone: acquiring each horizontal pixel row forming the crack imaging area, and outputting the number of pixel points occupied by the longest horizontal pixel row as a reference number;
using a parameter identification device, connected to the data analysis device, for performing the following operations on the fracture imaging region with the largest reference number: calculating the entity length of the corresponding road crack based on the reference number and the imaging depth of field of the corresponding crack, and calculating the actual distance from the corresponding road crack to the vehicle based on the imaging depth of field of the corresponding crack;
and the passing judgment equipment is connected with the parameter identification equipment and used for judging the feasibility of passing the vehicle by bypassing the actual length within the actual distance according to the current speed of the vehicle based on the current speed, the actual distance and the entity length of the vehicle.
7. The real-time parsing method of traffic reference data as claimed in claim 6, wherein:
and the frame body driving motor is also used for retracting the safety protection frame from the front end of the vehicle and placing the safety protection frame into the vehicle body at the front end of the vehicle when receiving the frame body retracting signal.
8. The real-time parsing method of traffic reference data as claimed in claim 7, wherein:
calculating the entity length of the corresponding road crack based on the reference number and the imaging depth of field of the corresponding crack comprises the following steps: under the condition that other parameters are not changed, the reference quantity or the imaging depth of field of the corresponding crack and the entity length of the corresponding road crack are in a monotonous positive correlation relationship.
9. The real-time parsing method of traffic reference data as claimed in claim 8, wherein:
calculating the actual distance of the corresponding road crack from the vehicle based on the imaging depth of the corresponding crack comprises the following steps: the deeper the imaging depth of field of the corresponding crack is, the farther the actual distance between the road crack corresponding to the crack and the vehicle is obtained through calculation.
10. The method for real-time parsing of traffic reference data according to claim 9, wherein the method further comprises:
the speed detection mechanism is arranged in the vehicle, is respectively connected with the driving wheel of the vehicle and the passing judgment equipment, and is used for detecting the current speed of the vehicle.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112287139A (en) * | 2020-10-26 | 2021-01-29 | 泰州镭昇光电科技有限公司 | System and method for analyzing track duration by applying data analysis |
| CN112738958A (en) * | 2021-01-13 | 2021-04-30 | 王陈陈 | Real-time driving system for vehicle steering lamp |
| CN112793527A (en) * | 2021-01-07 | 2021-05-14 | 刘美红 | Self-adaptive control system for vehicle bumper |
| CN113762174A (en) * | 2021-09-08 | 2021-12-07 | 无锡天博电器制造有限公司 | Multi-device cooperation control platform and method |
Citations (40)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1847056A (en) * | 2005-04-12 | 2006-10-18 | 赵铁生 | Freely telescopic buffering and energy absorbing vehicle bumper |
| JP2010155545A (en) * | 2008-12-26 | 2010-07-15 | Toyota Motor Corp | Device and method for controlling vehicle |
| CN103837139A (en) * | 2012-11-23 | 2014-06-04 | 株式会社日立制作所 | Rough road surface driving assisted equipment and method for rough road driving assisting |
| US8890951B2 (en) * | 2008-04-24 | 2014-11-18 | GM Global Technology Operations LLC | Clear path detection with patch smoothing approach |
| CN104309558A (en) * | 2014-10-27 | 2015-01-28 | 重庆市永宏陈记实业有限公司 | Automobile bumper with initiative collision avoidance function |
| CN204222796U (en) * | 2014-10-27 | 2015-03-25 | 重庆市永宏陈记实业有限公司 | There is the Federal bumper of initiatively collision prevention function |
| US20150131864A1 (en) * | 2013-11-13 | 2015-05-14 | Elwha Llc | Wheel slip or spin notification |
| CN104670227A (en) * | 2013-11-29 | 2015-06-03 | 丰田自动车株式会社 | Vehicle behavior control device and vehicle behavior control system |
| CN104742841A (en) * | 2015-04-10 | 2015-07-01 | 胡达广 | Beam type active anti-collision device |
| CN105073542A (en) * | 2013-04-01 | 2015-11-18 | 朴秀旼 | Automatic driving system for vehicle |
| CN205601767U (en) * | 2016-05-12 | 2016-09-28 | 广东科学技术职业学院 | Prevent automotive fittings that knocks into back |
| CN106184784A (en) * | 2016-08-24 | 2016-12-07 | 上海与德通讯技术有限公司 | Unmanned aerial vehicle (UAV) control method, device and unmanned plane |
| CN106547353A (en) * | 2016-10-21 | 2017-03-29 | 北京小米移动软件有限公司 | Based reminding method and device |
| CN106809214A (en) * | 2016-12-05 | 2017-06-09 | 乐视控股（北京）有限公司 | A kind of rear-end collision method for early warning, device and electronic equipment |
| CN106864458A (en) * | 2017-03-24 | 2017-06-20 | 奇瑞汽车股份有限公司 | It is a kind of automatic around barrier system and method, intelligent automobile |
| CN106934829A (en) * | 2017-02-14 | 2017-07-07 | 中铁大桥科学研究院有限公司 | The detection method and system of a kind of surface crack |
| KR20170126148A (en) * | 2016-05-09 | 2017-11-17 | 인하공업전문대학산학협력단 | Device and method for detecting road crack by using unmaned aerial vehicle |
| CN107867252A (en) * | 2017-12-19 | 2018-04-03 | 成都育芽科技有限公司 | A kind of automatic Pilot passenger carrying vehicle active anti-collision device |
| CN107914707A (en) * | 2017-11-17 | 2018-04-17 | 出门问问信息科技有限公司 | Anti-collision warning method, system, vehicular rear mirror and storage medium |
| CN108089233A (en) * | 2016-11-21 | 2018-05-29 | 福特全球技术公司 | Pit-hole detecting system and method |
| CN108082088A (en) * | 2017-12-19 | 2018-05-29 | 成都育芽科技有限公司 | A kind of automatic Pilot lorry active anti-collision device |
| CN108202686A (en) * | 2016-12-18 | 2018-06-26 | 石磊 | A kind of ultrasonic ranging anti-collision buffer device |
| CN108313173A (en) * | 2018-04-12 | 2018-07-24 | 吴璇 | Bicycle use barrier early warning system |
| CN108508895A (en) * | 2018-04-12 | 2018-09-07 | 鄂尔多斯市普渡科技有限公司 | A kind of pilotless automobile road surface detection device and detection method |
| CN108627135A (en) * | 2018-04-28 | 2018-10-09 | 惠州市德赛西威汽车电子股份有限公司 | A kind of method and system for the road conditions that are recessed by front |
| CN109094454A (en) * | 2018-09-30 | 2018-12-28 | 惠州市名商实业有限公司 | Vehicle-mounted early warning system and method |
| CN109358629A (en) * | 2018-11-15 | 2019-02-19 | 安徽酷哇机器人有限公司 | Automatic Pilot roading method |
| US20190135283A1 (en) * | 2017-11-07 | 2019-05-09 | Uber Technologies, Inc. | Road anomaly detection for autonomous vehicle |
| CN110143396A (en) * | 2019-06-27 | 2019-08-20 | 广东利元亨智能装备股份有限公司 | Intelligent cruise vehicle |
| CN110182205A (en) * | 2019-05-05 | 2019-08-30 | 浙江合众新能源汽车有限公司 | Automobile avoidance based on cloud computing prejudges system |
| CN110614992A (en) * | 2018-12-29 | 2019-12-27 | 长城汽车股份有限公司 | Method and system for avoiding obstacle during automatic driving of vehicle and vehicle |
| CN110673595A (en) * | 2018-12-29 | 2020-01-10 | 长城汽车股份有限公司 | Method and system for avoiding obstacle during automatic driving of vehicle and vehicle |
| US20200031356A1 (en) * | 2018-07-27 | 2020-01-30 | Toyota Research Institute, Inc. | Tactile detection to determine lane localization |
| CN110763190A (en) * | 2019-10-29 | 2020-02-07 | 王君 | Parameter big data real-time measurement system and method |
| CN110827577A (en) * | 2019-04-11 | 2020-02-21 | 刘剑 | Early warning system based on parameter identification |
| CN110834628A (en) * | 2018-08-15 | 2020-02-25 | 重庆好德译信息技术有限公司 | Obstacle avoidance control method and system suitable for automobile |
| CN110936995A (en) * | 2019-12-01 | 2020-03-31 | 慈溪太平鸟物流有限公司 | Intelligent logistics transport trolley |
| CN111032468A (en) * | 2017-08-30 | 2020-04-17 | 马自达汽车株式会社 | Vehicle control device |
| CN210466751U (en) * | 2019-10-31 | 2020-05-05 | 南京泰晟科技实业有限公司 | Intelligent automobile front bumper anti-collision device |
| CN111145161A (en) * | 2019-12-28 | 2020-05-12 | 北京工业大学 | Method for processing and identifying pavement crack digital image |
-
2020
- 2020-05-15 CN CN202010410062.5A patent/CN111554093A/en active Pending
Patent Citations (40)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1847056A (en) * | 2005-04-12 | 2006-10-18 | 赵铁生 | Freely telescopic buffering and energy absorbing vehicle bumper |
| US8890951B2 (en) * | 2008-04-24 | 2014-11-18 | GM Global Technology Operations LLC | Clear path detection with patch smoothing approach |
| JP2010155545A (en) * | 2008-12-26 | 2010-07-15 | Toyota Motor Corp | Device and method for controlling vehicle |
| CN103837139A (en) * | 2012-11-23 | 2014-06-04 | 株式会社日立制作所 | Rough road surface driving assisted equipment and method for rough road driving assisting |
| CN105073542A (en) * | 2013-04-01 | 2015-11-18 | 朴秀旼 | Automatic driving system for vehicle |
| US20150131864A1 (en) * | 2013-11-13 | 2015-05-14 | Elwha Llc | Wheel slip or spin notification |
| CN104670227A (en) * | 2013-11-29 | 2015-06-03 | 丰田自动车株式会社 | Vehicle behavior control device and vehicle behavior control system |
| CN104309558A (en) * | 2014-10-27 | 2015-01-28 | 重庆市永宏陈记实业有限公司 | Automobile bumper with initiative collision avoidance function |
| CN204222796U (en) * | 2014-10-27 | 2015-03-25 | 重庆市永宏陈记实业有限公司 | There is the Federal bumper of initiatively collision prevention function |
| CN104742841A (en) * | 2015-04-10 | 2015-07-01 | 胡达广 | Beam type active anti-collision device |
| KR20170126148A (en) * | 2016-05-09 | 2017-11-17 | 인하공업전문대학산학협력단 | Device and method for detecting road crack by using unmaned aerial vehicle |
| CN205601767U (en) * | 2016-05-12 | 2016-09-28 | 广东科学技术职业学院 | Prevent automotive fittings that knocks into back |
| CN106184784A (en) * | 2016-08-24 | 2016-12-07 | 上海与德通讯技术有限公司 | Unmanned aerial vehicle (UAV) control method, device and unmanned plane |
| CN106547353A (en) * | 2016-10-21 | 2017-03-29 | 北京小米移动软件有限公司 | Based reminding method and device |
| CN108089233A (en) * | 2016-11-21 | 2018-05-29 | 福特全球技术公司 | Pit-hole detecting system and method |
| CN106809214A (en) * | 2016-12-05 | 2017-06-09 | 乐视控股（北京）有限公司 | A kind of rear-end collision method for early warning, device and electronic equipment |
| CN108202686A (en) * | 2016-12-18 | 2018-06-26 | 石磊 | A kind of ultrasonic ranging anti-collision buffer device |
| CN106934829A (en) * | 2017-02-14 | 2017-07-07 | 中铁大桥科学研究院有限公司 | The detection method and system of a kind of surface crack |
| CN106864458A (en) * | 2017-03-24 | 2017-06-20 | 奇瑞汽车股份有限公司 | It is a kind of automatic around barrier system and method, intelligent automobile |
| CN111032468A (en) * | 2017-08-30 | 2020-04-17 | 马自达汽车株式会社 | Vehicle control device |
| US20190135283A1 (en) * | 2017-11-07 | 2019-05-09 | Uber Technologies, Inc. | Road anomaly detection for autonomous vehicle |
| CN107914707A (en) * | 2017-11-17 | 2018-04-17 | 出门问问信息科技有限公司 | Anti-collision warning method, system, vehicular rear mirror and storage medium |
| CN108082088A (en) * | 2017-12-19 | 2018-05-29 | 成都育芽科技有限公司 | A kind of automatic Pilot lorry active anti-collision device |
| CN107867252A (en) * | 2017-12-19 | 2018-04-03 | 成都育芽科技有限公司 | A kind of automatic Pilot passenger carrying vehicle active anti-collision device |
| CN108508895A (en) * | 2018-04-12 | 2018-09-07 | 鄂尔多斯市普渡科技有限公司 | A kind of pilotless automobile road surface detection device and detection method |
| CN108313173A (en) * | 2018-04-12 | 2018-07-24 | 吴璇 | Bicycle use barrier early warning system |
| CN108627135A (en) * | 2018-04-28 | 2018-10-09 | 惠州市德赛西威汽车电子股份有限公司 | A kind of method and system for the road conditions that are recessed by front |
| US20200031356A1 (en) * | 2018-07-27 | 2020-01-30 | Toyota Research Institute, Inc. | Tactile detection to determine lane localization |
| CN110834628A (en) * | 2018-08-15 | 2020-02-25 | 重庆好德译信息技术有限公司 | Obstacle avoidance control method and system suitable for automobile |
| CN109094454A (en) * | 2018-09-30 | 2018-12-28 | 惠州市名商实业有限公司 | Vehicle-mounted early warning system and method |
| CN109358629A (en) * | 2018-11-15 | 2019-02-19 | 安徽酷哇机器人有限公司 | Automatic Pilot roading method |
| CN110614992A (en) * | 2018-12-29 | 2019-12-27 | 长城汽车股份有限公司 | Method and system for avoiding obstacle during automatic driving of vehicle and vehicle |
| CN110673595A (en) * | 2018-12-29 | 2020-01-10 | 长城汽车股份有限公司 | Method and system for avoiding obstacle during automatic driving of vehicle and vehicle |
| CN110827577A (en) * | 2019-04-11 | 2020-02-21 | 刘剑 | Early warning system based on parameter identification |
| CN110182205A (en) * | 2019-05-05 | 2019-08-30 | 浙江合众新能源汽车有限公司 | Automobile avoidance based on cloud computing prejudges system |
| CN110143396A (en) * | 2019-06-27 | 2019-08-20 | 广东利元亨智能装备股份有限公司 | Intelligent cruise vehicle |
| CN110763190A (en) * | 2019-10-29 | 2020-02-07 | 王君 | Parameter big data real-time measurement system and method |
| CN210466751U (en) * | 2019-10-31 | 2020-05-05 | 南京泰晟科技实业有限公司 | Intelligent automobile front bumper anti-collision device |
| CN110936995A (en) * | 2019-12-01 | 2020-03-31 | 慈溪太平鸟物流有限公司 | Intelligent logistics transport trolley |
| CN111145161A (en) * | 2019-12-28 | 2020-05-12 | 北京工业大学 | Method for processing and identifying pavement crack digital image |
Non-Patent Citations (3)
| Title |
|---|
| 俞浩清: "《摄影与空中摄影学》", 31 October 1985, 测绘出版社 * |
| 刘明亮等: "《数字信号处理基础教程》", 31 July 2011, 北京航空航天大学出版社 * |
| 欧阳林澍: ""自动驾驶场景下实时路面裂缝检测技术研究与实现"", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112287139A (en) * | 2020-10-26 | 2021-01-29 | 泰州镭昇光电科技有限公司 | System and method for analyzing track duration by applying data analysis |
| CN112287139B (en) * | 2020-10-26 | 2021-10-26 | 泰州润瀚环境科技有限公司 | System and method for analyzing track duration by applying data analysis |
| CN112793527A (en) * | 2021-01-07 | 2021-05-14 | 刘美红 | Self-adaptive control system for vehicle bumper |
| CN112738958A (en) * | 2021-01-13 | 2021-04-30 | 王陈陈 | Real-time driving system for vehicle steering lamp |
| CN113762174A (en) * | 2021-09-08 | 2021-12-07 | 无锡天博电器制造有限公司 | Multi-device cooperation control platform and method |
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