Flying iot: Toward low-power vision in the sky

H Genc, Y Zu, TW Chin, M Halpern, VJ Reddi - IEEE micro, 2017 - ieeexplore.ieee.org
The Internet of Things (IoT) is rapidly enabling applications in many different fields by
embedding itself into the physical world. Many potential IoT devices require some level of …

The role of compute in autonomous aerial vehicles

B Boroujerdian, H Genc, S Krishnan… - arXiv preprint arXiv …, 2019 - arxiv.org
Autonomous-mobile cyber-physical machines are part of our future. Specifically, unmanned-
aerial-vehicles have seen a resurgence in activity with use-cases such as package delivery …

드론활용목표물추적응용에서의인공지능작업실행효율비교분석: 클라우드기반대드론기반: 클라우드기반대드론기반

손경환, 김대우, 방지환, 강완주, 윤세은, 구윤표… - 한국통신학회 …, 2018 - dbpia.co.kr
무인항공기 (Unmanned Aerial Vehicle 또는 드론) 에서 목표물 추적을 위한 2 가지 대표적인
인공지능 작업은 (i) 목표물 인식 및 추적과 (ii) 드론의 제어이다. 이와 같은 인공지능 작업들은 …

{CC-Log}: Drastically Reducing Storage Requirements for Robots Using Classification and Compression

S Gonzalez, V Chidambaram, J Sinapov… - 9th USENIX Workshop on …, 2017 - usenix.org
Modern robots collect a wealth of rich sensor data during their operation. While such data
allows interesting analysis and sophisticated algorithms, it is simply infeasible to store all the …

[引用][C] Social (Aerial) Robotics: An Interactive Machine Learning and Hardware/Software Co-design Perspective