Localization, Mapping, and Navigation

4 credits · College of Engineering catalogue

Advisory Prerequisite: None. Enforced Prerequisite: EECS 280 and (IOE 265 or EECS 301 or BIOMEDE 241) and (ROB 101 or MATH 214 or MATH 217 or MATH 417 or MATH 419). Minimum grade requirement of “C-” for enforced prerequisite. (4 credits) Development of full-stack autonomous navigation and mapping for mobile robots. Topics include dead reckoning from odometry, sensor modeling of LIDAR and cameras, visual odometry, path planning, and simultaneous localization and mapping (SLAM). Course topics will be implemented in hardware.