Lorenzo Fullone
Environment perception and road boundary detection from LiDAR data.
Rel. Andrea Tonoli, Nicola Amati, Angelo Bonfitto. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2019
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Abstract
Self-driving cars are in continuous development and they will give us a safer and most powerful way of moving. The research, in the autonomous vehicles field, is working all the time in order to meet all the requirements in terms of real-time, safety and traffic congestion optimization. To do these, three different development areas are the most crucial: environment perception for mapping and localization, planning and decision-making for the behavioral part and vehicle control in order to give the vehicle the proper input. The environment perception is one of the critical parts because the car has to know what there is in its surroundings: if there something moving like other cars, bikes or people and if there are some fixed obstacles to avoid the collision with them.
This is crucial also because the localization of a vehicle cannot be done using only the Global Positioning System or the Inertia Measurements, thus it becomes more and more challenging to have a really good estimate of the mapping environment with high precision
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