Integration in the navigation stack of the USAD vehicle of a vision-based tool for lane detection

Published:

Aim

The project involves the analysis of a detection algorithm for horizontal signage, in particular the lane detection. The aim is to create the limit zones beyond which the transit of a USAD cinema machine is not allowed, thus guaranteeing security in movement. A local planner of the autonomously guided vehicle is already present which decides instant by instant all the maneuvers that the kart must perform to maintain one trajectory; My work consist of integrating in local planner a control for not invading the opposite lane on the street. The framework used is ROS, the algorithm implementation is written in C ++ language, all in a Linux environment.

Tutor: Augusto Luis Ballardini
Advisor: Domenico Giorgio Sorrenti
Completion Date: 2018
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