Journal
2018 THIRD IEEE/ACM SYMPOSIUM ON EDGE COMPUTING (SEC)
Volume -, Issue -, Pages 159-173Publisher
IEEE
DOI: 10.1109/SEC.2018.00019
Keywords
-
Funding
- 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
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available