Autonomous Vehicles Technological Trends

• その他の著者: Iclodean, Calin (編集者), Ovidiu Varga, Bogdan (編集者), Pfister, Felix (編集者)
• フォーマット: 電子媒体 図書の章
• 言語: 英語
• 出版事項: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• 主題: Technology: general issues; History of engineering & technology; virtualisation; ECU; automotive E/E architecture; containers; over the air; software updates; self-driving car; game theory; decision-making; stackelberg game; lane-merging; intention estimation; sensors; touch sensor; touch button; capacitive sensor; polymer; injected plastic; plastic button; automotive industry; pedestrian identification; classification; autonomous vehicles; CNN; transfer learning; cabin control functions; embedded lighting; reliability testing; Shared Autonomous Vehicle (SAV); Field-Programmable Gate Array (FPGA); microphone array; sound source localization; VANET; V2X; routing protocols; ad hoc protocols; wireless communication; deep reinforcement learning; global optimal path planning; dynamic programming; mobile robots; shortest path; continuous state space; collision avoidance; Vehicle-In-the-Loop Simulation (VILS); autonomous driving; vehicle test; consistency validation; correlation validation; proving ground; path tracking; Adaptive Cruise Control (ACC); autonomous vehicle; communication; ADAS; model predictive control; ACC; self-driving; deep learning; neurofuzzy data processing; fuzzy backpropagation; self-driving simulation; scale prototype; n/a
• オンライン･アクセス: DOAB: download the publication; DOAB: description of the publication

要約

The automotive industry has always been synonymous with research and innovation, but nowadays the industry is adding pressure and is establishing the agenda of the researchers from the field. Visions have been provided, and the hardware and the software exist; the only question remaining is: "who is going to deliver"? To answer this question, we encouraged scientists, researchers, industry specialists, and academics to share their vision of autonomous vehicles. What will the platform look like? What kind of hardware and software is most suitable? Who will make the connection between these two interdependent environments (and how), so that in the end the AI will define the process? These are the pressing issues of the current moment, and this Special Issue will help all those interested in the topic to promote their vision and ideas. Since the automotive field does not belong to a classical scientific field but has become an independent self-made scientific branch, all those who felt that they could contribute to this highly dynamic environment were requested to join in promoting their particular research or reviews in this Special Issue coordinated from both academia and the industry.

物理的記述

1 electronic resource (238 p.)

ISBN

books978-3-0365-7037-2
9783036570365
9783036570372

アクセス

Open Access