Moving Traffic Object Detection Based on Bayesian Theory Fusion

IF 4.8 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Automotive Innovation Pub Date : 2024-07-19 DOI:10.1007/s42154-023-00245-0
Yuxiao Sun, Keke Geng, Weichao Zhuang, Guodong Yin, Xiaolong Chen, Jinhu Wang, Pengbo Ding
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基于贝叶斯理论融合的移动交通目标检测
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来源期刊
Automotive Innovation
Automotive Innovation Engineering-Automotive Engineering
CiteScore
8.50
自引率
4.90%
发文量
36
期刊介绍: Automotive Innovation is dedicated to the publication of innovative findings in the automotive field as well as other related disciplines, covering the principles, methodologies, theoretical studies, experimental studies, product engineering and engineering application. The main topics include but are not limited to: energy-saving, electrification, intelligent and connected, new energy vehicle, safety and lightweight technologies. The journal presents the latest trend and advances of automotive technology.
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