A Fast Traffic Lane Detection System Based on Parallel Processors and FPGA Implementation
一种基于并行处理器的快速车道线检测系统及FPGA实现

This paper proposes a parallel fast traffic lane detection system. The system consists of a 32×32 Processing Elements (PE) array and a dual RISC core subsystem. The PE array performs pixel-parallel image preprocessing and outputs edge features, the dual RISC core subsystem performs two lanes parameters detection in parallel based on edge features. In this way, every step in the detection process is in parallel and the detection rate is rapidly increased. The system is implemented with FPGA. The experiment shows that it has good robustness and can reach up to 50 fps. This meets the demand of real-time for lane departure warning system and makes an important sense for practical application.