Design and development of a SLAM algorithm for the tractor-trailer type vehicle at the AIS

The objective is to develop a Simultaneous Localization and Mapping (SLAM) algorithm to be implemented on the tractor-trailer type vehicle used in the AIS called a Cart Puller. This vehicle is to work fully autonomously in a nursery farm, while carrying planted pots (loaded onto the plant carts) toward their loading stations. By using SLAM, the robot will be able to detect static and dynamic obstacles in the nursery, localize itself within a digital representation of the environment, i.e., a map, and simultaneously update this map using the sensors on board the cart puller. SLAM would be the building block of any further control and navigation algorithm to be used on the vehicle.

Intern: 
Sahar Leisiazar
Faculty Supervisor: 
Mo Chen;Mehran Mehrandezh
Province: 
British Columbia
Partner University: 
Discipline: 
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