Edge-based Realtime Image Object Detection for UAV Missions

Meng Shou Wu, Chi Yu Li

研究成果: Conference contribution同行評審

3 引文 斯高帕斯(Scopus)

摘要

Unmanned Aerial Vehicle (UAV) has limited computing power, but requires high accuracy and low latency in the visual object detection for critical UAV missions, such as infrastructure inspection. It may need highly complex machine learning algorithms with the demand of extensive computing power. With the rising edge computing technology, the heavily-loaded object detection tasks can be offloaded to edge computing systems. To enable such edge-based object detection with low overhead, we discover that it is critical to minimize the response time of the detection while maximizing the frequency of detected image frames. In this paper, we identify three key research challenges, conduct an experimental case study to show that current edge-based naive solutions cannot achieve the above goal, and finally point out major ideas for potential solutions.

原文English
主出版物標題2021 30th Wireless and Optical Communications Conference, WOCC 2021
發行者Institute of Electrical and Electronics Engineers Inc.
頁面293-294
頁數2
ISBN(電子)9781665427722
DOIs
出版狀態Published - 2021
事件30th Wireless and Optical Communications Conference, WOCC 2021 - Taipei, Taiwan
持續時間: 7 10月 20218 10月 2021

出版系列

名字2021 30th Wireless and Optical Communications Conference, WOCC 2021

Conference

Conference30th Wireless and Optical Communications Conference, WOCC 2021
國家/地區Taiwan
城市Taipei
期間7/10/218/10/21

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