Vision-based navigation system for autonomous urban transport vehicles in outdoor environments

This paper describes a vision-based system for autonomous urban transport missions in outdoor environments. Vision-based specialised tasks are implemented for particular functionalities such as lane tracking, and navigation along intersections. High level knowledge about goals and intentions is extracted from an a priori map so as to schedule the global mission and to direct the behaviours of the low-level perception and actuation modules.