视觉导航作为新兴起的技术,受众多研究者的青睐.设计了以现场可编程门列阵(fPgA)为控制核心的自主导航小车,采用一种新颖的自适应路径识别算法实现路径的识别与提取,并结合圆弧路线规划和控制策略完成小车的自主导航控制.自适应路径识别算法使导航小车可以适应多种光照和路面条件.测试结果表明,小车能够在不同光照条件下的实验室和露天田径跑道环境中实现较好的导航效果,在田径跑道上的导航测试中,小车的最高运行速度达到3.5M/S.As a new technology,visual navigation has gained a lot of interests.We designed a visual navigation model car with field programmable gate array as central control unit.A novel adaptive track recognition algorithm and a circular arc navigation planning strategy were used in this navigation car.The adaptive track recognition algorithm enabled the model car to navigate visually in multiple lighting and tracking conditions.The ability of our model car to navigate correctly in different indoor and outdoor conditions was demonstrated.During tests on an open track field,the car was to run with a maximum speed of 3.5 m/s while navigating accurately
