多传感器信息融合的无人车行驶策略

Unmanned Vehicles Driving Strategy Based on Multi-sensor Information Fusion

论文针对仿优秀驾驶员视觉注意机制的无人车行驶策略过程中的多传感器信息融合问题,提出了矩阵分析的理论对基于权值分配的D-S证据理论进行修正。经过验证,该算法能很好地处理融合过程中运算量过大的问题,同时在一个或者多个传感器失效的情况下也能保证融合结果的准确性和判断的正确性。

In this paper,the driver＇s visual attention mechanism excellent imitation of unmanned vehicles to the policy process of multi-sensor data fusion problem,a theoretical analysis of the matrix correction weights assigned based on DS evidence theory,after verification,the algorithm can be very good process integration process excessive computing problems,while in the case of failure of one or more sensor fusion results can ensure the accuracy and correctness of judgment.