An Open-Source Scale Model Platform for Teaching Autonomous Vehicle Technologies

Bastien Vincke (1, 2, 3) , Sergio Alberto Rodriguez Florez (1, 2, 3) , Pascal Aubert (4, 2)

1 Université Paris-Saclay
2 IUT d'Orsay - Institut Universitaire de Technologie d'Orsay
3 SATIE - Systèmes et Applications des Technologies de l'Information et de l'Energie
4 C2N - Centre de Nanosciences et de Nanotechnologies

Emerging technologies in the context of Autonomous Vehicles (AV) have drastically evolved the industry’s qualification requirements. AVs incorporate complex perception and control systems. Teaching the associated skills that are necessary for the analysis of such systems becomes a very difficult process and existing solutions do not facilitate learning. In this study, our efforts are devoted to proposingan open-source scale model vehicle platform that is designed for teaching the fundamental concepts of autonomous vehicles technologies that are adapted to undergraduate and technical students. The proposed platform is as realistic as possible in order to present and address all of the fundamental concepts that are associated with AV. It includes all on-board components of a stand-alone system, including low and high level functions. Such functionalities are detailed and a proof of concept prototype is presented. A set of experiments is carried out, and the results obtained using this prototype validate the usability of the model for the analysis of time- and energy-constrained systems, as well as distributed embedded perception systems.

Mots clés: scale-model vehicle; embedded systems; technological teaching

Domaines: Robotique [cs.RO]

Bastien Vincke, Sergio Alberto Rodriguez Florez, Pascal Aubert. An Open-Source Scale Model Platform for Teaching Autonomous Vehicle Technologies. Sensors, 2021, 21 (11), pp.3850. ⟨10.3390/s21113850⟩. ⟨hal-03247190⟩