CN211001120U - Vehicle distance testing device based on DSRC and binocular camera - Google Patents
Vehicle distance testing device based on DSRC and binocular camera Download PDFInfo
- Publication number
- CN211001120U CN211001120U CN201920793638.3U CN201920793638U CN211001120U CN 211001120 U CN211001120 U CN 211001120U CN 201920793638 U CN201920793638 U CN 201920793638U CN 211001120 U CN211001120 U CN 211001120U
- Authority
- CN
- China
- Prior art keywords
- vehicle
- chip microcomputer
- single chip
- dsrc
- binocular camera
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
Images
Landscapes
- Traffic Control Systems (AREA)
Abstract
The utility model belongs to the technical field of automatic testing of obstacles around vehicles, and discloses a vehicle distance testing device based on DSRC and binocular cameras; a binocular camera is mounted at the rear lamp of the vehicle body and connected with a signal processor through an external communication interface, a single chip microcomputer and a storage are fixed in the signal processor through screws, and the single chip microcomputer is connected with the storage through electric signals; the single chip microcomputer is connected with the vehicle-mounted OBU through DSRC network communication of the vehicle-mounted ad hoc network; the single chip microcomputer is connected with the brake lamp electromagnetic relay through the I/O port, and the single chip microcomputer is connected with the emergency brake through the I/O port. The utility model discloses a be provided with two mesh cameras, can realize the automatic monitoring surrounding environment condition, discern the barrier, establish special emergent reaction of emergency affairs, pedestrian, animal etc. appear suddenly in the place ahead and shoot and collect evidence, give the driver with information quick reflection to carry out emergency braking measure.
Description
Technical Field
The utility model belongs to the technical field of barrier around the automatic test vehicle, especially, relate to a vehicle distance testing arrangement based on DSRC and two mesh cameras.
Background
At present, driverless automobiles are tried in some countries, but in the process, distressing driverless automobile accidents occur, in addition, the number of the current private automobiles, particularly domestic private automobiles, is very large, and the automobile accidents are also frequent events every year, and behind the reasons of the accidents, the important reason is that the distance between the automobiles is not accurately grasped, so that the driverless automobiles cannot flexibly respond when a critical condition occurs, and the worry accidents are caused. While there are related vehicle distance testing systems and methods, various problems remain. Mainly comprises the following steps: the driver can change the safe distance value by himself, even close, and the expected effect of the system can not be achieved; the accuracy of the vehicle distance test is low, the reaction of the sensor and the like have delay conditions, and the processing is not flexible enough in case of crisis.
In summary, the problems of the prior art are as follows:
(1) the driver can change the safe distance value by himself or herself, even turn off, and the expected effect of the system cannot be achieved.
(2) The accuracy of the vehicle distance test is low, the reaction of the sensor and the like have delay conditions, and the processing is not flexible enough in case of crisis.
The difficulty of solving the technical problems is as follows:
the developer is originally for the driver to think about, and is more humanized, but if so operated, the system has little meaning, so for this kind of problem, need cooperate with relevant departments, confirm the accurate safe distance value in different road sections, control and adjustment are carried out by the supervisor, the vehicle user can't carry out relevant adjustment, so the difficulty is mainly in contacting relevant departments, only need the system administrator to authorize to different users while developing.
The significance of solving the technical problems is as follows:
since vehicles are subjected to various emergency situations during the situation, and therefore, the identification of many types of obstacles is difficult to accurately control, the test principle of many sensors per se now causes delay, so that the measurement principle must be changed if a change is made, and at the same time, the machine is not a human, and because the program is fixedly arranged, the program may not be flexibly processed when an unexpected situation occurs.
SUMMERY OF THE UTILITY MODEL
To the problem that prior art exists, the utility model provides a vehicle distance testing arrangement based on DSRC and two mesh cameras.
The utility model discloses a realize like this, a vehicle distance testing arrangement based on DSRC and two mesh cameras, vehicle distance testing arrangement based on DSRC and two mesh cameras is provided with:
a vehicle body;
a binocular camera is mounted at the rear lamp of the vehicle body and connected with a signal processor through an external communication interface, a single chip microcomputer and a storage are fixed in the signal processor through screws, and the single chip microcomputer is connected with the storage through electric signals; the single chip microcomputer is connected with the vehicle-mounted OBU through DSRC network communication of the vehicle-mounted ad hoc network;
the single chip microcomputer is connected with the brake lamp electromagnetic relay through the I/O port, and the single chip microcomputer is connected with the emergency brake through the I/O port.
The utility model can realize automatic monitoring of surrounding environment conditions, identify barriers, set up special emergency response of emergency affairs, and rapidly take photos and evidence of pedestrians, animals and the like in front, quickly reflect information to drivers and implement emergency braking measures by arranging the binocular camera; meanwhile, the utility model takes pictures of emergency situations to obtain evidence and leaves the evidence, thus reducing unnecessary contradiction disputes and making clear the responsibility; by arranging the brake lamp and the emergency brake, the problem of the distance between the front vehicle and the rear vehicle can be solved.
Furthermore, the signal processor reminds the player, the rear vehicle lamp display screen and the alarm through electric signals and voice.
The utility model discloses a be provided with pronunciation warning player and back car light display screen and alarm, can improve the warning effect for the driver.
Further, a laser range finder is arranged at the front end of the vehicle body, and a vehicle speed sensor is fixed at the front end of the vehicle body through a bolt; the laser range finder and the vehicle speed sensor are connected with the signal processor through electric signals.
The utility model discloses a be provided with laser range finder and speed sensor, can monitor the response to driving emergency around the in-process, for example pedestrian, animal, barrier on the road etc. a series of influence vehicle normal driving's the condition to effectively prevent the emergence of traffic accident.
To sum up, the utility model discloses an advantage and positive effect do:
at present, many drivers still have the situations that the drivers are not suitable for driving, such as fatigue driving, drunken driving and the like, and the utility model can make up for the defects to a certain extent; under the condition of ever-good existence, the system is also the best protection for the drivers, and accidents caused by bad driving states are prevented; the difficulty and the workload of the traffic police are reduced, the traffic police can follow the car seriously, the related information of the following car can be automatically transmitted to a traffic police system, and then the traffic police can take relevant solutions. The traffic civilization of modern civilized society is maintained jointly, and the trip safety of everybody is ensured. The utility model discloses the automatic monitoring surrounding environment condition discerns the barrier, establishes special emergent reaction of proruption affairs, and pedestrian, animal etc. appear in the place ahead suddenly and take a picture and collect evidence, give the driver with information quick reflection to carry out emergency braking measure.
Drawings
Fig. 1 is a vehicle distance testing device structure diagram based on DSRC and binocular camera that the embodiment of the utility model provides.
Fig. 2 is a schematic diagram of a vehicle distance testing device based on DSRC and binocular cameras provided by the embodiment of the present invention.
Fig. 3 is the embodiment of the utility model provides a based on DSRC and binocular camera the binocular range finding schematic diagram of vehicle distance testing arrangement.
Fig. 4 is the embodiment of the utility model provides a binocular camera mounted position and vehicle-mounted unit OBU mounted position schematic diagram.
Fig. 5 is a schematic structural diagram of a position of a human-computer interaction interface and a position of a dynamic actuator according to an embodiment of the present invention.
In the figure: 1. a laser range finder; 2. a binocular camera; 3. a vehicle speed sensor; 4. a signal processor; 5. a single chip microcomputer; 6. a brake light; 7. a voice reminding player; 8. an emergency brake; 9. a rear vehicle lamp display screen; 10. an on-board OBU; 11. an alarm; 12. mounting positions of binocular cameras; 13. the On Board Unit (OBU) mounting position; 14. a human-computer interaction interface position; 15. brake actuator position.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The technical solution of the present invention will be described in detail with reference to the accompanying drawings.
As shown in fig. 1, the vehicle distance testing device based on the DSRC and the binocular camera is provided with a vehicle body; the front end of the vehicle body is provided with a laser range finder 1, the front end of the vehicle body is fixed with a vehicle speed sensor 3 through a bolt, and the laser range finder 1 and the vehicle speed sensor 3 are connected with a signal processor 4 through electric signals.
A binocular camera 2 is mounted at the rear lamp of the vehicle body, the binocular camera 2 is connected with a signal processor 4 through an external communication interface, a single chip microcomputer 5 and a storage device are fixed inside the signal processor 4 through screws, and the single chip microcomputer 5 is connected with the storage device through electric signals; the singlechip 5 is connected with the vehicle OBU10 through the DSRC network communication of the vehicle ad hoc network.
The single chip microcomputer 5 is connected with the brake lamp 6 electromagnetic relay through an I/O port, and the single chip microcomputer 5 is connected with the emergency brake 8 through the I/O port. The single chip microcomputer 5 adopts MC14073 BCP.
The signal processor 4 reminds the player 7, the rear vehicle lamp display screen 9 and the alarm 11 through electric signals and voice.
The laser range finder 1 of the utility model detects the safe distance between the obstacle in front of the vehicle and the front vehicle; the binocular camera 2 is installed at the rear lamp of the automobile, the binocular camera 2 is connected through a peripheral communication interface, a DSRC interface is connected with the vehicle-mounted OBU10, and the vehicle-mounted OBU10 is connected with the front vehicle-mounted OBU10 through the DSRC technology of the vehicle-mounted ad hoc network. The singlechip 5 and the memory receive data collected by the binocular camera 2 through the peripheral communication interface, and the memory stores the data and performs subsequent research and use.
The single chip microcomputer 5 is connected with an electromagnetic relay through an I/O port, the electromagnetic relay is communicated with a vehicle-mounted unit arranged on a self vehicle through a circuit, the vehicle-mounted unit of a front vehicle controls a brake lamp 6 of the front vehicle through an interrupt signal generated by an electronic hardware interface, and the single chip microcomputer 5 receives data processed by the binocular camera 2 through an external communication interface; and judging the danger degree of collision with the front vehicle according to the measured vehicle distance, controlling the on-off of an electromagnetic relay through an I/O interface, further triggering an emergency brake 8 to carry out related work, determining safety condition information through the danger degree, and sending the safety condition information to a front vehicle on-board unit through a DSRC interface so that a front vehicle OBU controls a front vehicle brake lamp 6.
The utility model discloses well DSRC technique has characteristics such as the networking time is short, communication delay is little as a special short-range communication technique of efficient, can realize the information sharing between the vehicle betterly to fully consider that the vehicle sees that the speed of traveling is fast, ad hoc network topological structure changes fast often, characteristics of ad hoc network such as wireless communication environmental interference is big establish efficient transmission mechanism.
The technical solution of the present invention will be further described with reference to the following embodiments.
The utility model utilizes the binocular camera, the millimeter wave radar and the near infrared system to automatically detect the front obstacle and dynamically monitor the distance between the front vehicle and the rear vehicle; analyzing and processing the acquired information and the information detected by the sensor through a DSRC algorithm, and making a decision based on the processed information; if the collision probability is high, the driver is reminded and assisted to brake the vehicle in a display screen and voice broadcasting mode.
Wherein, the embodiment of the utility model provides an utilize two mesh cameras, millimeter wave radar and near-infrared system automatic detection the place ahead barrier to carry out dynamic monitoring to the distance of front and back car and specifically include: the binocular cameras are symmetrically arranged at the two ends in the front of the automobile, the monocular camera is arranged at the rear end of the automobile and is respectively a camera A, a camera B and a camera C, and the related cameras are in signal connection with the control processor; a target detection module in the control processor is used for carrying out target detection processing on the acquired image data and the obstacle sensing information; comparing the distance and the running speed of the obstacle in front of the vehicle with a preset brake distance and form speed relation table, matching the detected running speed with the form speed of the relation table, and then comparing the distance of the obstacle in front of the vehicle with the corresponding brake distance; and controlling a brake device of the vehicle to decelerate and brake the vehicle so that the distance between the running vehicle and the obstacle of the detected front vehicle meets the standard brake speed distance relation.
The utility model discloses use the binocular camera just according to the mapping picture and collect, then detect the eigenvalue of picture and confirm the characteristic point, confirm the characteristic point that is correlated with each other between two images through the characteristic point, afterwards, calculate the feature description of characteristic point based on characteristic algorithm SURF-ORB, the similarity degree of each pixel of two pictures of comparison obtains the characteristic point that is correlated with each other, its characteristic point includes that a certain one is surveyed the essential element point on two binocular vision images respectively by the measurement station on the object that awaits measuring, calculate the vehicle to the first distance between the aerial object based on the characteristic point that confirms, after the characteristic point that the relevance matches, based on the triangulation location: the specific process of the triangulation positioning mode is as follows: using the formula: where D is the calculated distance, f is the focal length of the cameras, h is the distance between the two cameras, and s1 and s2 are the x-axis coordinate points of the two images, respectively (s1-s 2).
In addition, when the distance between the rear vehicle and the front vehicle is too close, the camera device of the front vehicle can accurately shoot the license plate number of the rear vehicle, if the license plate number of the rear vehicle is incomplete or cannot be seen clearly, the camera device can shoot a driver to obtain evidence, and then the information of the picture is uploaded to a monitoring system of a traffic police, so that the traffic police can make corresponding punishment measures on the rear vehicle; all the collected image data are automatically stored, the data of the period of time are uploaded to a traffic police monitoring system at a fixed time point, whether violation behaviors exist or not is automatically detected through a deep learning algorithm, and then a vehicle holder determines whether the image data in the period of time need to be deleted or not.
When the distance between the rear vehicle and the vehicle is too close, the rear vehicle is reminded to keep the distance through the alarm sound and the automatic lighting mode of the rear vehicle lamp, and the rear vehicle is automatically connected to a system of a local traffic police station after 20 seconds, so that the situation that the rear vehicle is too close to the vehicle is effectively restrained. If the system judges that the possibility of collision is extremely high, the safety belt early warning motor is quickly started to pre-tighten the safety belt, the load borne by the head and the neck is reduced, the throttle driving motor is quickly started to close the throttle, the power output of the engine is interfered and adjusted, the engine is switched to an idle state, the auxiliary brake rotates for a certain angle to apply the maximum deceleration to the self vehicle, and the speed of the self vehicle during collision is reduced, so that the damage is reduced to the maximum extent, the safety of the vehicle and the vehicle owner is ensured, and the vehicle is still completely controlled by a driver.
The technical solution of the present invention is further described below with reference to a wireless communication technology performance comparison table.
Table 1 comparison of performance of several wireless communication techniques
The above description is only exemplary of the present invention and should not be taken as limiting the scope of the present invention, as any modifications, equivalents, improvements and the like made within the spirit and principles of the present invention are intended to be included within the scope of the present invention.
Claims (3)
1. The utility model provides a vehicle distance testing arrangement based on DSRC and binocular camera which characterized in that, vehicle distance testing arrangement based on DSRC and binocular camera specifically be provided with:
a vehicle body;
a binocular camera is mounted at the rear lamp of the vehicle body and connected with a signal processor through an external communication interface, a single chip microcomputer and a storage are fixed in the signal processor through screws, and the single chip microcomputer is connected with the storage through electric signals; the single chip microcomputer is connected with the vehicle-mounted OBU through DSRC network communication of the vehicle-mounted ad hoc network;
the single chip microcomputer is connected with the brake lamp electromagnetic relay through the I/O port, and the single chip microcomputer is connected with the emergency brake through the I/O port.
2. The DSRC and binocular camera based vehicle distance testing apparatus of claim 1 wherein the signal processor alerts the player, rear vehicle light display screen and alarm through electrical signals and voice.
3. The DSRC and binocular camera based vehicle distance testing apparatus of claim 1, wherein the front end of the vehicle body is provided with a laser range finder, and the front end of the vehicle body is fixed with a vehicle speed sensor by a bolt; the laser range finder and the vehicle speed sensor are connected with the signal processor through electric signals.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201920793638.3U CN211001120U (en) | 2019-05-29 | 2019-05-29 | Vehicle distance testing device based on DSRC and binocular camera |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201920793638.3U CN211001120U (en) | 2019-05-29 | 2019-05-29 | Vehicle distance testing device based on DSRC and binocular camera |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN211001120U true CN211001120U (en) | 2020-07-14 |
Family
ID=71467503
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201920793638.3U Expired - Fee Related CN211001120U (en) | 2019-05-29 | 2019-05-29 | Vehicle distance testing device based on DSRC and binocular camera |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN211001120U (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112770259A (en) * | 2021-04-08 | 2021-05-07 | 奥特酷智能科技(南京)有限公司 | Automatic driving vehicle ad hoc network method and system based on DDS protocol and DSRC technology |
-
2019
- 2019-05-29 CN CN201920793638.3U patent/CN211001120U/en not_active Expired - Fee Related
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112770259A (en) * | 2021-04-08 | 2021-05-07 | 奥特酷智能科技(南京)有限公司 | Automatic driving vehicle ad hoc network method and system based on DDS protocol and DSRC technology |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US9786171B2 (en) | Systems and methods for detecting and distributing hazard data by a vehicle | |
| CN109466488B (en) | Automatic vehicle collision rescue alarm system | |
| CN103080953B (en) | The method and system of the thingness detection of the object detection and/or acceleration for acceleration and the purposes of methods described | |
| CN108407715A (en) | A kind of automobile safety early-warning system and method | |
| CN108615383B (en) | Automobile traffic intersection auxiliary passing system based on workshop communication and control method thereof | |
| CN101391589A (en) | Vehicle intelligent alarming method and device | |
| CN111252066A (en) | Emergency braking control method and device, vehicle and storage medium | |
| CN109703557B (en) | Rear side early warning device and method for learning driving mode | |
| JP4214841B2 (en) | Ambient situation recognition system | |
| CN112537254A (en) | Vehicle and vehicle early warning method and device | |
| CN110682907B (en) | Automobile rear-end collision prevention control system and method | |
| CN208665169U (en) | A kind of auxiliary driving domain controller | |
| CN105539289A (en) | Parking door opening early-warning method based on four-camera 360-degree circular observation | |
| CN211001120U (en) | Vehicle distance testing device based on DSRC and binocular camera | |
| CN103085716A (en) | Traffic accident preventing system and traffic accident preventing method | |
| CN109470491A (en) | Blind monitoring road test evaluation system | |
| US20200410788A1 (en) | Management apparatus, vehicle, inspection apparatus, and vehicle inspection system and inforamtion processing method therefor | |
| CN109334660A (en) | A kind of automatic emergency brake system and lightweight appraisal procedure | |
| CN112572427B (en) | Vehicle information processing method and device and vehicle | |
| CN210760742U (en) | Intelligent vehicle auxiliary driving system | |
| CN111696366A (en) | Road accident perception and identification method and system | |
| CN110060507A (en) | One kind anti-knock into the back prior-warning device and method for early warning | |
| CN115482685A (en) | Vehicle early warning control method and system and vehicle | |
| CN113888901A (en) | Intelligent safe driving reminding device and method and helmet | |
| KR20230033160A (en) | Retaliatory driving reporting system for autonomous vehicles |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20200714 Termination date: 20210529 |