Samuel Ciocca
Design and implementation of autonomous braking system for Formula Student Driverless application.
Rel. Andrea Tonoli, Nicola Amati. Politecnico di Torino, Corso di laurea magistrale in Automotive Engineering (Ingegneria Dell'Autoveicolo), 2022
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Abstract
To achieve the autonomous drive, a vehicle must be able to do the perception of the environment, to elaborate the signals for the path planning and to perform the dynamic manoeuvres without any human intervention. For the perception part, the main sensors that are used are the radar, the lidar, the stereo camera and the ultrasonic sensors. For the path planning on the autonomous vehicles some dedicated hardware is present in order to elaborate the information coming from each sensor and to control properly the vehicle dynamics. For what concerns the dynamic manoeuvres, the development of systems that can properly reproduce human’s inputs to such as the steering action and the pedals pushing are necessary.
An Autonomous Braking System will be the object of this thesis
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