A Study On The System Of Vehicle Collision Avoidance Based On Multi-sensor Information Fusion Algorithm

With the development of science and technology, the technology of multi-sensor data fusion is attracting people's attention gradually. Multi-sensor data fusion on resolving problem such as probing, tracking and target identification has anti-interference, the strong survival ability, large space-time coverage range, and it has increased the measurement dimension, strengthened the ability of probing, and enhanced the reliability and the accuracy of the system, and it has many merit such as the strong space resolution ability, keen reaction, every sensor advantage function complementation. It is applied to the military field and relevance fields such as intelligence robot, remote sense, medical treatment diagnose, automation surveillance, image treatment, principles of pattern recognition and complicated industry process control mainly. The purpose that the technology of multi-sensor data fusion studies is how to be also the main body of this paper research subject by the fact that the information of the multi information source gains the estimation and reasoning being especially more accurate than depending on any single information source, it is the theme of this studyThis article is based on vehicle collision avoidance of multi-sensor data fusion algorithms to study, first This paper analysis of sensor fusion system model, introduces detailed the model on its target tracking and state estimation methods. As the data integration process more complicated the article also detailed analysis the principle of bayesian filtering particles and data-processing methods, it does not involve linearizations around current estimates but rather represent the desired distributions by discrete random measures. A simulation example of the bearings-only tracking problem is presented, it is superior to other methods, established a safe distance models for the vehicle to avoid collision. Make the general algorithms of braking distance by anglicizing the different stages of braking.Finally, this paper takes that the measure is not several times more than the whole the radar sensors and infrared sensors as an example. The sampling of the radar as a reference point, the measurement date of the infrared sensor synchronization radar measurement data and statistics expression take the measurement data synchronization process of integration and test the algorithm. Base on sequential Monte particle filtering establish model, we had simulated by this model by software of Matlb/Simulink, and proved this model was feasible.