Edge Intelligence Empowered Vehicle Detection and Image Segmentation for Autonomous Vehicles

Chen, Chen; Wang, Chenyu; Liu, Bin; He, Ci; Li, Cong; Wan, Shaohua

doi:10.1109/tits.2022.3232153

articleIEEE Transactions on Intelligent Transportation SystemsJan 5, 2023Closed access

Edge Intelligence Empowered Vehicle Detection and Image Segmentation for Autonomous Vehicles

CCChen Chen CWChenyu Wang BLBin Liu CHCi He CLCong Li

Xidian University · China Electronics Technology Group Corporation · +1 more institution

Indexed incrossref

Abstract

Edge intelligence (EI) migrates data and artificial intelligence (AI) to the “edge” of a network, enhancing the high-bandwidth and low-latency of wireless data transmission with the multiplier effect of 5G and AI, greatly improving the edges’ processing speed. Through integrating EI and computer vision technology, video surveillance systems in ITS can improve the processing capability of traffic information, which improves traffic efficiency and ensures traffic safety. Accordingly, first, we propose an edge intelligence-based improved-YOLOv4 vehicle detection algorithm, introducing an efficient channel attention (ECA) mechanism and a high-resolution network (HRNet) to enhance vehicle detection ability. Second,…

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194

total citations

FWCI: 22.03
Percentile: 100%
References: 39

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Authors

6

Topics & keywords

Topics

Keywords

Artificial intelligence
Computer science
Segmentation
Computer vision
Image segmentation
Edge detection
Enhanced Data Rates for GSM Evolution
Intersection (aeronautics)

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