標題: Augmenting Car Surrounding Information by Inter-Vehicle Data Fusion
作者: Lee, Tzu-Kuang
Kuo, Yu-Chiao
Huang, Shih-Hsuan
Wang, Guan-Sheng
Lin, Chih-Yu
Tseng, Yu-Chee
資訊工程學系
Department of Computer Science
關鍵字: Autonomous Driving;Data Fusion;Sensing;V2V communication
公開日期: 1-Jan-2019
摘要: Collecting vehicle surrounding information is a key issue for accident prevention and autonomous driving applications. Although GPS and 4G/LTE are widely accepted. it is still a challenge for a vehicle to get complete information of its surrounding vehicles. In this work, we consider the integration of multi-sensory data through V2V communications to help a vehicle to understand its complex surroundings. We propose a fusion algorithm that can integrate four types of sensory inputs: V2V communications, GPS, camera, and inertial data. We show that through such fusion, it is possible for a vehicle to visually see the driving states of its surrounding vehicles.
URI: http://hdl.handle.net/11536/154041
ISBN: 978-1-5386-7646-2
ISSN: 1525-3511
期刊: 2019 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC)
起始頁: 0
結束頁: 0
Appears in Collections:Conferences Paper