Study On Lane And Obstacle Detection Based On 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. At the same time, some oversea companies and research institutions that are related to the intelligence automobile are listed to show their products of intelligence automobile. Then some applications of 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. At the end of this part, we describe the development of machine vision in the 1980 years. 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. In order to solve the disproportion of highway segmentation, we present an optimization segmentation arithmetic based on image processing. We also offer algorithm to detect lane based on chain code idea and boundary track. After that, a new kind of technology to rebuild two dimensional lanes is given based on the carriageway clairvoyance transform model. 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. After discussing particularly the technology of barrier detecition, identification, and track based on single eye vision in the paper, we design a perfect project about automobile detection which is absolutely feasible through the experiment. The obstacle coarse oritation technology is present which is based on in information entropy theory and the precise orientation algorithm is provided based on rigid object outline detection. In the end, we provide a white-noise Kalman filter technology for moving object tracking. We prove this algorithm's feasibility in theory, also for some particular problems we give the answer of its equation. The result of experiment on highway road in chongqing show this algorithm's efficiency. At the end of this paper, we discuss the basic method and typical technology of the camera demarcation technology and the machine vision range finding. In the subsequence of this part, camera imaging module and camera demarcation technology are introduced, and we also present the principle of binocular measure distance. After that, according to the vision range finding principle, we design monocular vision range detection method for highway based on the theory of lane rebuilding and clairvoyance projection.