Part of the Urban Shuttles Autonomously Driven Project

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The stage aims ad advancing the implementation of a local planner that, taking as input relative data (such as the length of the road, the slope of the climbs, the arching of a curve, or the speed limits), plans the route in order to drive the vehicle correctly. The program that, after the examination of input data, will create an output which will allow the car to adapt its movement to the path.

The middleware framework used will be ROS, changes to the navigation system will be done in C++, all under the Linux ecosystem. It will also be necessary to test the work directly on the vehicle, as the goal is to put the vehicle in the streets.

The internship is based on:

Implementation of a motion planning algorithm for the Ackermann kinematics USAD vehicle