Four categories vehicle detection in hsuehshan tunnel via single shot multibox detector

Chun Ming Tsai*, Tawei Shou, Jun-Wei Hsieh, Kuang Hsuan Chen

*Corresponding author for this work

研究成果: Conference contribution同行評審

摘要

Taiwan has many vehicles and as a result many traffic problems. In particular, during the Spring Festival and the holidays, Hsuehshan Tunnel (HST) between Yilan and Taipei is always a traffic jam. To solve this problem, intelligent transportation system (ITS) is necessary, and accurate vehicle detection (VD) is the first stage for ITS. In order to detect vehicles in HST, three training methods based on single shot multibox detector (SSD) are presented to detect four categories of vehicle in the Tunnel. The experimental results demonstrated that the presented three training methods, which only used 1000 training frames, can detect and categorize more vehicles than the pre-trained SSD model which used a large training dataset. Specifically, the SSD trained by our collected data set and data augmentation has the highest detection rates for sedan, van, bus, and truck - 93.6%, 90.9%, 100%, and 100%, respectively.

原文English
主出版物標題Proceedings - 2019 12th International Conference on Ubi-Media Computing, Ubi-Media 2019
發行者Institute of Electrical and Electronics Engineers Inc.
頁面113-118
頁數6
ISBN(電子)9781728128207
DOIs
出版狀態Published - 八月 2019
事件12th International Conference on Ubi-Media Computing, Ubi-Media 2019 - Bali, Indonesia
持續時間: 6 八月 20199 八月 2019

出版系列

名字Proceedings - 2019 12th International Conference on Ubi-Media Computing, Ubi-Media 2019

Conference

Conference12th International Conference on Ubi-Media Computing, Ubi-Media 2019
國家Indonesia
城市Bali
期間6/08/199/08/19

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