Department of Metrology and Applied Physics, University Institute of Technology of Orsay, 91405 Orsay, France.
SATIE Laboratory CNRS Joint Research Unit, UMR 8029, Paris-Saclay University, 91190 Gif-sur-Yvette, France.
Sensors (Basel). 2021 Jun 2;21(11):3850. doi: 10.3390/s21113850.
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.
自动驾驶汽车（AV）背景下的新兴技术极大地改变了行业的资格要求。AV 采用复杂的感知和控制系统。教授分析此类系统所需的相关技能是一个非常困难的过程，现有的解决方案无法促进学习。在这项研究中，我们致力于提出一个开源的比例模型车辆平台，该平台专为教授适应本科和技术学生的自动驾驶汽车技术的基本概念而设计。为了呈现和解决与 AV 相关的所有基本概念，所提出的平台尽可能地具有现实性。它包括独立系统的所有车载组件，包括低级和高级功能。详细介绍了这些功能，并展示了概念验证原型。进行了一组实验，使用该原型获得的结果验证了该模型在分析时间和能量受限系统以及分布式嵌入式感知系统方面的可用性。
