Student research opportunities
Accurate Localization using Odometry and Digital Maps in Urban Environments
Project Code: CECS_973
This project is available at the following levels:
CS single semester, Engn4200, Engn R&D, Honours, Summer Scholar
Please note that this project is only for undergraduate students.
Keywords:
Odometry, Kalman filtering
Supervisor:
Dr Jose M. AlvarezOutline:
Having an accurate localization of a vehicle in a digital map is crucial in modern autonomous driving. In this project we aim to improve vehicle localization in a digital map by combining GPS signals and information from an IMU unit.
Goals of this project
Build an algorithm to localize a vehicle in a digital map using GPS and odometry information
Requirements/Prerequisites
Matlab
Background Literature
Accurate Global Localization Using Visual Odometry and Digital Maps on Urban Environments
IEEE ITS December 2012
