Deep Transfer Learning for Vulnerable Road Users Detection using Smartphone Sensors Data

As the Autonomous Vehicle (AV) industry is rapidly advancing, the classification of non-motorized (vulnerable) road users (VRUs) becomes essential to ensure their safety and to smooth operation of road applications. The typical practice of non-motorized road users’ classification usually takes signi...

詳細記述

書誌詳細

出版年:	Remote Sensing
主要な著者:	Mohammed Elhenawy, Huthaifa I. Ashqar, Mahmoud Masoud, Mohammed H. Almannaa, Andry Rakotonirainy, Hesham A. Rakha
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2020-10-01
主題:	transportation mode classification vulnerable road users recurrence plots computer vision image classification system
オンライン･アクセス:	https://www.mdpi.com/2072-4292/12/21/3508