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Auxiliary driving system based on collision early-warning algorithm

A collision warning and assisted driving technology, which is applied in the field of assisted driving systems based on collision warning algorithms, can solve problems such as loss of GPS signals, and achieve the effects of high detection accuracy, high real-time performance, and high accuracy

Inactive Publication Date: 2019-09-24
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0005] In view of this, the purpose of the present invention is to provide an assisted driving system based on a collision warning algorithm, which is used to improve the detection accuracy of the assisted driving system and solve the problem of losing GPS signals when the vehicle enters a tunnel during driving

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  • Auxiliary driving system based on collision early-warning algorithm
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[0061] Step 1: Convert the YOLOv3 model structure cfg file into a caffe format file, and then import it to the caffe official website to get the model structure. Through continuous training, the error function converges, and finally the optimal training weight is obtained. Then train the weight and other parameters of the model, and write the monocular distance measurement algorithm into the model, collect real-time images through the high-definition camera on the vehicle side and upload them to the YOLOv3 model on the TX2 industrial board, and then output real-time obstacle detection and ranging information;

[0062] Step 2: Equip the vehicle with a high-resolution camera, and use the method of monocular distance measurement to detect vehicles and pedestrians in front. The camera collects the video stream information in front of the vehicle in real time, and inputs the video stream into the model, and finally obtains the front Obstacle category information, positioning inform...

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Abstract

The invention relates to an aided driving system based on a collision early-warning algorithm, and belongs to the technical field of computer vision and intelligent aided driving. The system comprises a detection and distance measurement module which collects road condition information in the driving process of an automobile through a camera, and carries out the detection, recognition and distance measurement of an obstacle through a YOLOv3 model; a collision early-warning module which is used for carrying out the collision prediction classification, calculating the time required by collision, giving early-warning judgment in time and carrying out early-warning broadcast on a driver; a positioning module which is used for acquiring driving position information of the vehicle by utilizing GPS / IMU integrated navigation, automatically switching the system to an IMU for positioning when a GPS signal is lost, and switching the system to GPS positioning again when the GPS signal is normal; and a GUI display and cloud video backup module which is used for displaying the identification video stream, the driving state and the map software annotation information in real time and carrying out cloud backup. According to the invention, the prediction precision and real-time performance of the auxiliary driving system can be improved.

Description

technical field [0001] The invention belongs to the technical field of computer vision and intelligent assisted driving, and relates to an assisted driving system based on a collision warning algorithm. Background technique [0002] In recent years, with the rapid development of our country's economy, the mileage of roads and expressways has continued to set new records. While people enjoy the convenience brought by cars, the number of traffic accidents has also increased significantly. In order to reduce the occurrence of traffic accidents, more The advanced car safety driving assistance system can remind the driver in time or take over some functions of the car actively, which can effectively avoid the occurrence of traffic accidents. [0003] In the application research of assisted driving system, how to improve the accuracy of collision warning algorithm has always been one of the difficulties. Many effective natural sentence understanding models based on deep learning ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/16G08B21/24H04N5/76H04L29/08B60W30/095B60W50/14G05D1/00G05D1/02
CPCG05D1/0221G05D1/0214G05D1/0246G05D1/027G05D1/0274G05D1/0278G05D1/0055G08G1/166G08B21/24H04N5/76H04L67/1097B60W30/0956B60W50/14B60W2050/143B60W2554/00
Inventor 蔡林沁周思桐董建功曹世洲牟志豪
Owner CHONGQING UNIV OF POSTS & TELECOMM
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