Study On Lane And Obstacle Detection Based On DSP And Machine Vision

According to the technology of lane and road detetion,this paper provides significant information of environmental state and automobile driving status for intelligence automobile on the highway based on the technology of dynamic image processing used for the object identified and target tracked, such as the current driving carriageway, the carriageway information and the barrier information of the highway, and so on.At the beginning of this paper, we firstly introduce the development of intelligence automobile oversea and domestic. Then some applications of intelligence automobile and machine vision are discussed in the orientation assistance navigation system, the self-adapted cruise control system, the self-moving assistance system, the traffic signal identification system, the assistance change-carriageway, etc.In the subsequent part of this paper, we present the highway identification in detail based on the technology of video processing. After analyzing the different technology of image pretreatment, we select an appropriate pretreatment algorithm by contrasting one with another carefully. We also offer algorithm to detect lane based on samples of the lane .At last, to meet the information requirement of intelligence automobile, we focus our attention on the lane detection technology which is credible and real-time to satisfy the requirements of the system.Next,we discuss particularly the technology of barrier detecition, identification, and track based on single eye vision in the paper and the theory of grayscale features ,nmi features,the outline edge features and the symmetry of the target in the image.At the end of this paper, we discuss software development on the system based on Dsps.