Investigation of Object Detection and Identification at Different Lighting Conditions for Autonomous Vehicle Application

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Investigation of Object Detection and Identification at Different Lighting Conditions for Autonomous Vehicle Application

Ensuring the safety of autonomous vehicles requires effective detection and tracking of surrounding objects. This paper proposes the design and development of a driverless transportation system module focused on identifying obstacles around vehicles. By integrating computer vision with deep learning...

書誌詳細
出版年:	International Journal of Automotive and Mechanical Engineering
第一著者:	2-s2.0-85174971248
フォーマット:	論文
言語:	English
出版事項:	Universiti Malaysia Pahang 2023
オンライン･アクセス:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174971248&doi=10.15282%2fijame.20.3.2023.08.0822&partnerID=40&md5=451ea9033b0c3240b6f1793bcadf21cb

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