作者: Kane Usher , Matthew Dunbabin , P Ridley , None
DOI: 10.1109/ROBOT.2004.1302531
关键词:
摘要: In this paper, we outline the sensing system used for visual pose control of our experimental car-like vehicle, Autonomous Tractor. The consists a magnetic compass, an omnidirectional camera and low-resolution odometry system. work, information from these sensors is fused using complementary filters. Complementary filters provide means fusing with different characteristics in order to produce more reliable estimate desired variable. Here, range bearing landmarks observed by vision are vehicle model, providing states. We also present method combining compass sensor model improve heading estimate.