Drone-Based Vehicle Flow Estimation and its Application to Traffic Conflict Hotspot Detection at Intersections

Ping Yang Chen, Jun Wei Hsieh, Munkhjargal Gochoo, Ming Ching Chang, Chien Yao Wang, Yong Sheng Chen, Hong Yuan Mark Liao

研究成果: Conference contribution同行評審

摘要

Drones can provide a wider field of view, high mobility and flexibility for monitoring and analyzing traffic flows and safety conditions. In case of a perpendicular viewing angle to the ground, there will be a very less occlusion that can occur and make vehicle tracking be easier. Thus, a drone-based solution will be better for traffic conflict hotspot detection at an interaction. However, due to its observation far from the ground, limited battery time, and bandwidth, this solution should be edge-based and have a good recognition rate in small object detection. However, current edge-based SoTA (state-of-the-art) methods are weak in a small object detection. We propose CoBiF net (Concatenated Bi-Fusion feature pyramid network), a one-stage object detection model for a real-time small object detection, which consists of SPP (spatial pyramid pooling), FE (Feature Extractor), CF (Concatenated Feature) block, and BFM (Bottom-up Fusion Module). CoBiF net is memory-and-bandwidth saving for the most edge devices. Extensive experiments on UA VDT benchmark show the proposed method achieved the SoTA results for the small object detection task in terms of accuracy and efficiency.

原文English
主出版物標題2020 IEEE International Conference on Image Processing, ICIP 2020 - Proceedings
發行者IEEE Computer Society
頁面1521-1525
頁數5
ISBN(電子)9781728163956
DOIs
出版狀態Published - 十月 2020
事件2020 IEEE International Conference on Image Processing, ICIP 2020 - Virtual, Abu Dhabi, United Arab Emirates
持續時間: 25 九月 202028 九月 2020

出版系列

名字Proceedings - International Conference on Image Processing, ICIP
2020-October
ISSN(列印)1522-4880

Conference

Conference2020 IEEE International Conference on Image Processing, ICIP 2020
國家/地區United Arab Emirates
城市Virtual, Abu Dhabi
期間25/09/2028/09/20

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