An anti-disturbance lane detection method combined with vehicle detection was proposed.

This paper researches the problem of lane detection in structured road images and does some work on how to extract lane information in road images efficiently, including image enhancement, extraction of lane-marking feature and lane-marking detection.

The technologies are composed of the radar category and application,and the strategy of radar detecting obstacles,and the image characteristic of the vehicle application,and the method of lane detection based on the image characteristic and model,and the method of realizing other environment detection with an image and so on.

In this paper,a vision-based lane marking detection system is adopted to establish the anticipant trac-king trajectory of an intelligent vehicle and to transform the kinematic model of the intelligent vehicle into a chained one.

The paper bring forward a new road detection arithmetic which set search windows in ROI(i.

Research on lane detection for used in rear-end collision alarm system;

A multi-sectional lane switch model is proposed to make the lane model not only fit the lane shape accurately,but also meet the real-time requirements of the lane detection algorithm.