RE 605 - Automated Sensing and Navigation

3 Credit(s)

Same As: Automated sensing and navigation are essential techniques for the development of autonomous manned and unmanned vehicle systems. This course introduces theoretical and practical backgrounds for components and integration of automated sensing and navigation. Topics include sensors and perception, multi-sensor fusion, cognition and decision, mobility dynamics and control, action and commands, computer communications, and integration. Case studies include lane following, obstacle avoidance, leader following, waypoint navigation, and guidance. Basic knowledge of probability, linear algebra, and computer programming is expected.