【摘要】 在汽车智能避障优化问题的研究中,传统的汽车避障方法采用基于单点研究的避障方案,根据汽车当前的行驶状况,给出距离汽车最近的障碍点特性,并设计合理的避障方案,对于单障碍点的障碍有较好的效果,但面对多障碍点同时存在时,效果不佳。提出一种基于复杂障点凝聚的汽车智能避障方法,仿真中设计多个障碍点模型,避障时,对单个障碍点进行特性分析,提取障碍点特征,在此基础上,以第1个障碍点为参考,提取其它障碍点的信息,并且对所有提取障碍点的信息进行复杂障点凝聚处理,给出复杂障碍点环境下的最佳避障路径。通过一组实际的复杂障点进行测试实验,结果显示,基于复杂障点凝聚的避障方法,能很好实现智能避障,具有广泛的自动驾驶应用前景。更多还原

【Abstract】 The intelligent barrier avoidance method of car based on cohesion of complexity barrier point was researched. The intelligent barrier avoidance method of car was proposed based on cohesion of complexity barrier point andthe method design point model was built with multiple barriers. During barrier avoidance,the first point on the barrier properties was analyzed,and the feature of barrier point was extracted. On this basis,the barrier point as a reference point for other barriers was extracted,and then all the information of barrier point with complex agglomeration treatment was finished. A set of practical complexity points was used to conduct testing experiment,and the result shows that with cohesion of complexity barrier point,the barrier can be avoided well,so it has broad application for using.更多还原