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author:

Liao, Fengshun (Liao, Fengshun.) [1] | Sun, Yu (Sun, Yu.) [2] (Scholars:孙玉) | Wu, Yiliang (Wu, Yiliang.) [3] | Wang, Ju (Wang, Ju.) [4]

Indexed by:

CPCI-S EI

Abstract:

We developed a system that can detect on-street parking spaces in real-time. The system uses a positioning module, a camera, and NVIDIA Jetson Xavier NX to build the device components on which pruned You Only Look Once v5, Simple Online and Realtime Tracking and counting algorithm are deployed to complete the collection of occupancy, geographic location, and other information of urban on-street parking spaces. Our device can be integrated into the intelligent dashboard cameras onboard taxis or online cars to form a monitoring network. Such a network enables a dynamic update of urban on-street parking occupancy information. More importantly, a long-term collection of this information allows for an analysis of the occupancy rate which is invaluable in terms of on-street parking space planning.

Keyword:

edge device object detection on-street parking space detection YOLOv5

Community:

  • [ 1 ] [Liao, Fengshun]Fuzhou Univ, Key Lab Spatial Data Min & Informat Sharing Minis, Fuzhou, Peoples R China
  • [ 2 ] [Sun, Yu]Fuzhou Univ, Key Lab Spatial Data Min & Informat Sharing Minis, Fuzhou, Peoples R China
  • [ 3 ] [Wu, Yiliang]Fuzhou Univ, Key Lab Spatial Data Min & Informat Sharing Minis, Fuzhou, Peoples R China
  • [ 4 ] [Wang, Ju]Fuzhou Univ, Key Lab Spatial Data Min & Informat Sharing Minis, Fuzhou, Peoples R China

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Source :

2022 ASIA CONFERENCE ON ALGORITHMS, COMPUTING AND MACHINE LEARNING (CACML 2022)

Year: 2022

Page: 621-625

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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