Research on Key Technology of Auto-driving Based on Machine Vision

Zhang bo chuan, Liu Guo ming, Pei Sheng wang, Yu li, Li Hai peng
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Abstract

Aiming at the problem of vehicle travel control in high-speed automatic driving technology based on machine vision, a vehicle travel control method based on visual guidance was proposed. The method directly obtained the vehicle movement track by analytical method, and the parking control quantity could be given accurately. In addition, a lane line detection method was proposed. The detection method mainly consists of image light intensity preprocessing, segmentation and line fitting. The analysis of driving test data shows that the proposed method can detect lane lines quickly and accurately, and the automatic driving control system works smoothly and smoothly.
基于机器视觉的自动驾驶关键技术研究
针对基于机器视觉的高速自动驾驶技术中车辆行程控制问题,提出了一种基于视觉引导的车辆行程控制方法。该方法通过解析法直接得到车辆的运动轨迹,并能准确给出停车控制量。此外,还提出了一种车道线检测方法。检测方法主要包括图像光强预处理、图像分割和线拟合。驾驶测试数据分析表明,该方法能够快速准确地检测车道线,自动驾驶控制系统运行平稳。
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