Identification method and system of deviation of vehicle driving route

Abstract

The invention discloses an identification method and system of lateral deviation of a vehicle driving route. According to the method and system, firstly, an image, which is shot by a camera mounted ona vehicle, of a road along a vehicle running direction is acquired; an internal-parameter matrix of the camera is utilized to carry out de-distortion processing on the video frame, and inverse perspective transformation is carried out on a selected to-be-transformed region src; then threshold segmentation is carried out on the video frame to separate lane lines from a background region; then locations where maximum values appear are derived by counting to use the same as intersection points of the lane lines and the bottom of the image; and whether correction of lateral deviation of the driving route needs to be carried out is judged according to separation distances between the locations of the intersection points and a preset lateral mounting location of the camera on the vehicle. In acase where the vehicle deviates from a road center too far, the method and system can know the case in time, and remind a driver or carry out correction; and the method and system can accurately detect all of sudden illumination changes, tree shade shading, road surface stains and many other conditions, and are high in applicability, low in costs, high in precision and better in real-time performance and stability.

Description

technical field [0001] The present invention relates to the field of intelligent assisted driving, and more specifically, relates to a method and system for identifying lateral offsets of vehicle driving paths. Background technique [0002] At present, relevant research institutions at home and abroad have carried out extensive and in-depth research on unmanned vehicles, and the technical performance of the developed products has been continuously improved. Departing from Yangzichong Toll Station in Changsha, it took 3 hours and 22 minutes to arrive in Wuhan, with a total mileage of 286 kilometers. During the driving process, it autonomously overtook 67 times, and the average speed of autonomous driving was 87 kilometers per hour, reaching the world's leading level; Beijing Institute of Technology is also the first in China to start research on wireless In 2013, Beijing Institute of Technology signed a cooperation agreement with BYD Automobile Co., Ltd. to create an experime...

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Problems solved by technology

[0010] The technical problem to be solved by the present invention is that, for the above-mentioned identification methods and systems for the lateral deviation of the vehicle driving path, there are one or more of low applicability of the scene, high cost, low precision, low real-time performance, etc. Technical defect, the present invention provides a method and system for identifying lateral deviation of vehicle driving path

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