Study On Lane And Target Detecting Technique In Intelligent Vehicle

According to the technology of lane and road detection, 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 detected and target identified, such as the current driving carriageway, the carriageway information and the barrier information of the highway, and so on.At the aspect of vehicle and safety, problems related to the vehicles safety are summarized briefly. The intelligent traffic system and the safety collision are also discussed. Based on computer vision theory, main algorithms of the technology are introduced. We also introduce the development of intelligent vehicle oversea and domestic. At the same time, we describe the development and the practical applications of machine vision in the 1980 years. Combined with the research object, the research content of vehicle initiative safety system is analyzed.The paper starts with introducing the single eye vision system structural design, analyses the function of each system module, then introduces the camera imaging module and the camera demarcation technology and discusses the various parameters calibration method in detail.Road detection is the focus of this study and it's the key to good or bad for the system. 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. At last, to meet the information requirement of intelligence automobile, we focus our attention on the lane detection technology and advance a new method which based on the spline and the road center, this method has some advantage to overcome the hydrocele, shadow, low contrast and it is able to fit any kind road type. It is a way with high accuracy, real-times and stability. The paper discusses and demonstrates this method and then the line is accurate fitting reconstructed. The accurately line provides a powerful guarantee to help solve the collision problem of the intelligent auxiliary drive system.After discussing particularly the technology of barrier detection and identification based on single eye vision in the paper, we design a perfect project about automobile detection which is absolutely feasible through the experiment. It's also an important part of the system. The paper introduces a precise orientation algorithm based on the vehicle's bottom shadow. The result of experiment on highway road shows this algorithm's efficiency.We introduce the system's experimental environment (based on DSP TMS320DM642) and we also make the experimental results'analysis. The method is proved to be a way with high accuracy, real-times, stability and project practicality.At the end of this paper, we bring forward the conclusion and the expectation of the system.