Abstract
Road perception and lane detection techniques have been widely studied in the past 2decades and applied in many advanced driver assistance systems. However, the development of a robust lane detection system that can deal with various road conditions and efficiently evaluate its detection results in real time is still of great challenge. Therefore the construction of the evaluation system is one of the primary objectives for lane detection systems. In this section, a sensor fusion-based road region detection based on camera and Lidar and a vision-based lane detection and evaluation system based on integrating two distinct lane detection algorithms are proposed. The proposed road perception and lane detection system can benefit the driver's intention inference. Specifically, the road curvatures, the lane positions, and the lane styles can be used as input to the driver intention inference module.
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