期刊
2018 THIRD IEEE/ACM SYMPOSIUM ON EDGE COMPUTING (SEC)
卷 -, 期 -, 页码 159-173出版社
IEEE
DOI: 10.1109/SEC.2018.00019
关键词
-
资金
- Defense Advanced Research Projects Agency (DARPA) [HR001117C0051]
- National Science Foundation (NSF) [CNS-1518865]
- Intel
- Vodafone
- Deutsche Telekom
- Verizon
- Crown Castle
- NTT
- Conklin Kistler family fund
Real-time video analytics on small autonomous drones poses several difficult challenges at the intersection of wireless bandwidth, processing capacity, energy consumption, result accuracy, and timeliness of results. In response to these challenges, we describe four strategies to build an adaptive computer vision pipeline for search tasks in domains such as search-and-rescue, surveillance, and wildlife conservation. Our experimental results show that a judicious combination of drone-based processing and edge-based processing can save substantial wireless bandwidth and thus improve scalability, without compromising result accuracy or result latency.
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