CN214475561U - Automatic driving control system based on intelligent signal lamp - Google Patents
Automatic driving control system based on intelligent signal lamp Download PDFInfo
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- CN214475561U CN214475561U CN202120559535.8U CN202120559535U CN214475561U CN 214475561 U CN214475561 U CN 214475561U CN 202120559535 U CN202120559535 U CN 202120559535U CN 214475561 U CN214475561 U CN 214475561U
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Abstract
The utility model belongs to the technical field of the autopilot, concretely relates to autopilot control system based on intelligent signal lamp. The system comprises an intelligent traffic signal lamp control system and an automatic driving vehicle-mounted system; the intelligent traffic signal lamp control system comprises an information acquisition module, a data transmission module, a data processing module and a signal control module; the automatic driving vehicle-mounted system is provided with an OBU vehicle-mounted unit, a prediction module, a perception module, a navigation module, a positioning module and a planning module. The utility model discloses utilize new technologies such as artificial intelligence to found intelligent transportation solution, realize "comprehensive perception, global decision-making, real time control" to the traffic to alleviate traffic jams, reduce the traffic accident.
Description
Technical Field
The utility model belongs to the technical field of the autopilot, concretely relates to autopilot control system based on intelligent signal lamp.
Background
At present, the urban traffic problems of major and middle cities in China are increasing day by day, and the main manifestations are as follows: the vehicle is many, and the road is stifled, and vehicle exhaust emission pollutes seriously, and in addition, the mood of driver is still influenced to the traffic that blocks up, increases the probability that takes place the traffic accident. The economic loss caused by traffic jam and management problems is becoming more serious, and becomes one of the important factors restricting the development of the social economy. Conventional solutions for alleviating traffic congestion include, for example: the limitations of widening roads, increasing the density of road networks, building three-dimensional traffic and the like are increasingly shown, so that the intelligent transformation of road infrastructure becomes the inevitable trend of intelligent traffic development.
SUMMERY OF THE UTILITY MODEL
In order to solve the problem of traffic jam, an intelligent traffic light scheme is implemented on the road. The specific technical scheme is as follows:
an automatic driving control system based on intelligent signal lamps: the system comprises an intelligent traffic signal lamp control system and an automatic driving vehicle-mounted system;
the intelligent traffic signal lamp control system comprises an information acquisition module, a data transmission module, a data processing module and a signal control module; the information acquisition module is characterized in that a binocular camera is arranged at a traffic light intersection, images are transmitted to the data processing module through the data transmission module, the data processing module analyzes road conditions by using artificial intelligence learning results and big data, and then obtains control instructions and transmits the control instructions to the signal control module to control signal light conditions; a signal lamp RSU drive test unit is also arranged at the signal lamp;
the automatic driving vehicle-mounted system is provided with an OBU vehicle-mounted unit, a prediction module, a perception module, a navigation module, a positioning module and a planning module; the planning module carries out local planning according to the motion track of the front obstacle sent by the prediction module, the sensing module detects the cloud information of the front obstacle point according to the laser radar, the global planning route sent by the navigation module, and the positioning module carries out local planning according to the accurate position information obtained by fusing the GPS and the inertial navigation, and sends the driving information of the vehicle reaching the next point position to the control module, and the control module controls the automatic driving actuator.
Further, information transmission of the binocular camera and the RSU is achieved through a 5G network.
Furthermore, the actuator comprises a steering mechanism, an accelerator mechanism, a brake mechanism, a gear shifting mechanism and a suspension mechanism.
The intelligent traffic signal lamp control system adopts advanced traffic information acquisition technology, data transmission technology, information control technology, computer processing technology and the like, and analyzes and processes road and vehicle flow, pedestrian flow and road condition situation and optimizes data on the basis of big data to generate an efficient traffic signal control scheme. The traffic management efficiency is greatly improved, the delay time of vehicles is shortened, and the social and economic benefits are improved. The method fully utilizes the existing road traffic hardware facilities, utilizes a monitoring camera arranged at the intersection to shoot the vehicle queuing images at the intersection at regular time, utilizes a sensor at the road side to collect the vehicle queuing information, and uploads the images to a traffic light management control center for processing in real time through a 5G network. The AI algorithm is used for analyzing and processing the collected images and data, and the traffic lights are automatically switched according to the intersection condition, so that the traffic control effect is achieved. The intelligent traffic signal lamp control system supports a crossing-level, regional-level and central-level three-level distributed hierarchical control structure, and can realize multi-period fixed timing control, manual intervention control, special vehicle priority passage, running state monitoring and the like. The automatic driving vehicle receives the RSU signal of the traffic light road end through the vehicle end OBU, and the red light is automatically executed to stop at a reduced speed, and the green light is safe to pass. The traffic light signal is received to the car end, carries out automatic driving control, implements the red light and stops, and green light safety is current's action, simultaneously, in order to ensure the safety and the accuracy of information, adopts in step and has changed on-vehicle binocular camera and carry out the image recognition of red light lamp, and the car end is discerned, and carries out the safety verification contrast with high in the clouds, finally realizes that the red light stops, and green light safety is current.
The utility model discloses utilize new technologies such as artificial intelligence to found intelligent transportation solution, realize "comprehensive perception, global decision-making, real time control" to the traffic to alleviate traffic jams, reduce the traffic accident. The operation of intelligence traffic lights has obvious effect to promoting traffic efficiency. The effect is particularly remarkable in the aspect of relieving sudden traffic jam. The redundant double-system verification scheme ensures the accuracy of traffic light identification and improves the driving safety of automatic driving.
Drawings
Fig. 1 is a block diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative work belong to the protection scope of the present invention.
As shown in fig. 1: an intelligent traffic signal lamp control system is characterized in that binocular cameras are arranged at a traffic light intersection, advanced traffic information acquisition technology, data transmission technology, information control technology, computer processing technology and the like are adopted, and on the basis of big data, the traffic flow, the pedestrian flow and the road condition situation of a road are analyzed and processed, and data are optimized to generate an efficient traffic signal control scheme. The method comprises the steps of monitoring the queuing condition and the traffic jam condition of vehicles at a traffic intersection in real time through a monitoring camera on the roadside, judging whether the red road lamp condition at the moment is reasonable or not, uploading images to a traffic lamp management control center in real time through a 5G network for processing, and intelligently adjusting and switching traffic lamps by utilizing artificial intelligent learning results and big data analysis.
The traffic light information is sent to the RSU drive test unit at the red road lamp through the 5G network by the cloud, the RSU transmits the red road light information to the OBU vehicle-mounted unit on the automatic driving vehicle through the 5G network, the OBU receives the red road light information of the drive test unit, the current red road lamp condition is clearly known, information is transmitted to the automatic driving vehicle-mounted control system at the same time, the automatic driving vehicle finally realizes braking, steering, accelerating and other actions according to the information of the prediction module, the perception module, the navigation module, the positioning module and the planning module. The planning module can be according to the motion trail of the place ahead barrier that the prediction module sent, the place ahead barrier point cloud information that perception module detected according to laser radar, the global planning route that navigation module sent, and the accurate positional information that orientation module fuses according to GPS and being used to lead, carry out local planning, send the speed that reaches next point position, acceleration, angular velocity, information such as angular acceleration gives control module, control module control autopilot executor brakes, turn to and accelerate.
In order to ensure safety and insurance, a redundant system is arranged in the automatic driving of the red road lamp, the position of the red road lamp on a high-precision map is identified through a GPS positioning module, the arrival of the red road lamp at a traffic light intersection is clearly known, the traffic light information is identified through an automatic driving vehicle-mounted binocular camera and artificial intelligence image identification, and the traffic light information is synchronously sent to an automatic driving vehicle-mounted control system. Therefore, the automatic driving can carry out the strategy of stopping at the red and yellow light and slowly driving at the green light according to the traffic light condition. Therefore, on one hand, traffic light information is received through the cloud control system, on the other hand, the automatic driving vehicle synchronously passes through the image recognition traffic light condition, the red light is automatically executed to decelerate and stop, the green light is safely passed, and the driving safety of automatic driving is ensured.
Although the preferred embodiments of the present patent have been described in detail, the present patent is not limited to the above embodiments, and various changes can be made without departing from the spirit of the present patent within the knowledge of those skilled in the art.
Claims (3)
1. The utility model provides an automatic driving control system based on intelligence signal lamp which characterized in that: the system comprises an intelligent traffic signal lamp control system and an automatic driving vehicle-mounted system;
the intelligent traffic signal lamp control system comprises an information acquisition module, a data transmission module, a data processing module and a signal control module; the information acquisition module is characterized in that a binocular camera is arranged at a traffic light intersection, images are transmitted to the data processing module through the data transmission module, the data processing module analyzes road conditions by using artificial intelligence learning results and big data, and then obtains control instructions and transmits the control instructions to the signal control module to control signal light conditions; a signal lamp RSU drive test unit is also arranged at the signal lamp;
the automatic driving vehicle-mounted system is provided with an OBU vehicle-mounted unit, a prediction module, a perception module, a navigation module, a positioning module and a planning module; the planning module carries out local planning according to the motion track of the front obstacle sent by the prediction module, the sensing module detects the cloud information of the front obstacle point according to the laser radar, the global planning route sent by the navigation module, and the positioning module carries out local planning according to the accurate position information obtained by fusing the GPS and the inertial navigation, and sends the driving information of the vehicle reaching the next point position to the control module, and the control module controls the automatic driving actuator.
2. The intelligent signal lamp-based automatic driving control system as claimed in claim 1, wherein: information transmission of the binocular camera and the RSU is achieved through a 5G network.
3. The intelligent signal lamp-based automatic driving control system as claimed in claim 1, wherein: the actuator comprises a steering mechanism, an accelerator mechanism, a brake mechanism, a gear shifting mechanism and a suspension mechanism.
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| CN202120559535.8U CN214475561U (en) | 2021-03-18 | 2021-03-18 | Automatic driving control system based on intelligent signal lamp |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114141040A (en) * | 2021-11-30 | 2022-03-04 | 燕山大学 | Signal lamp passing redundancy system used in intelligent networked vehicle cruise mode |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114141040A (en) * | 2021-11-30 | 2022-03-04 | 燕山大学 | Signal lamp passing redundancy system used in intelligent networked vehicle cruise mode |
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