Literature DB >> 34199679

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

Bastien Vincke1,2, Sergio Rodriguez Florez1,2, Pascal Aubert1,3.   

Abstract

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.

Entities:  

Keywords:  embedded systems; scale-model vehicle; technological teaching

Year:  2021        PMID: 34199679     DOI: 10.3390/s21113850

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  2 in total

Review 1.  Research Scenarios of Autonomous Vehicles, the Sensors and Measurement Systems Used in Experiments.

Authors:  Leon Prochowski; Patryk Szwajkowski; Mateusz Ziubiński
Journal:  Sensors (Basel)       Date:  2022-08-31       Impact factor: 3.847

2.  Methodology for the Development of Augmented Reality Applications: MeDARA. Drone Flight Case Study.

Authors:  Marco Antonio Zamora-Antuñano; Luis F Luque-Vega; Miriam A Carlos-Mancilla; Ricardo Hernández-Quesada; Neín Farrera-Vázquez; Rocío Carrasco-Navarro; Carlos Alberto González-Gutiérrez; Yehoshua Aguilar-Molina
Journal:  Sensors (Basel)       Date:  2022-07-28       Impact factor: 3.847

  2 in total

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