Design and Development of a Robotic Platform at Scale for Implementing Artificial Intelligence and Computer Vision Algorithms in Autonomous Vehicles

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Бібліографічні деталі
Опубліковано в::	Florida Scientist vol. 87, no. 3/4 (2024), p. 123
Автор:	Tyson, Shaquan
Інші автори:	Kalenga, Aldridge, Awandu, Chibundu, Lamichhane, Santosh, Mwase, Buchizya, Brown, Tianna, Calderon, Juan
Опубліковано:	Florida Academy of Sciences, Inc.
Предмети:	Automotive fuels Sensors Computers Gasoline Navigation Electric motors Computer vision Automobile industry Space perception Colleges & universities Electric vehicles Cameras Onboard data processing Artificial intelligence Algorithms Batteries Information processing Industrial development Design standards Real time Vehicles Decision making Automobiles Data processing Depth perception Data analysis Teaching materials Educational resources Radar Education Autonomous vehicles Autonomous navigation Sensory integration Economic
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Опис
Короткий огляд:	The automotive industry has shifted towards electric vehicles in the past decade. Electric cars are beginning to dominate the market and are expected to become the global standard for mobility. This transition from gasoline vehicles to electric ones has facilitated the approach and development of autonomous driving systems. This project focuses on designing and developing a 10:1 scale electric vehicle platform, integrating multiple sensors and computer systems. The project has three primary objectives: (1) the development of an autonomous vehicle platform, (2) the exploration of artificial intelligence and computer vision algorithms, and (3) providing university instruction in autonomous vehicles (AV). The platform replicates AV features by incorporating electric motors, batteries, and essential sensors for AV, such as RGB cameras, LiDARs, depth perception cameras, and radar. An onboard computing system enables the evaluation of advanced artificial intelligence and computer vision algorithms in a controlled environment. The project involves the development and testing of algorithms for autonomous navigation, sensory data processing, and real-time decision-making. Simultaneously, the project aims to impact education by creating innovative teaching materials. The scaled platform will serve as an educational resource for undergraduate students interested in autonomous vehicles, artificial intelligence, and computer vision. This interdisciplinary approach aims to prepare the next generation of professionals in the emerging field of autonomous electric vehicles
ISSN:	0098-4590
Джерело:	Agriculture Science Database