Omnidirectional Proximity Sensor System for Drones Using Optical Time‐of‐Flight Sensors
Author:
Affiliation:
1. Department of Electrical Engineering Fukuoka University 8‐19‐1, Nanakuma, Jonan‐ku, Fukuoka 814‐0180 Japan
Publisher
Wiley
Subject
Electrical and Electronic Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/tee.23483
Reference15 articles.
1. LiZ LiuY HaywardR ZhangJ CaiJ.Knowledge‐based power line detection for UAV surveillance and inspection systems.Proceedings of the 23rd International Conference on Image and Vision Computing New Zealand 2008.
2. VegaLFL ToledoBC LoukianovA JimenezLEG.Power line inspection via an unmanned aerial system based on the quadrotor helicopter.Proceedings of 17th IEEE Mediterranean Electrotechnical Conference 2014; 393–397.
3. YangL LiB LiW LiuZ YangG XiaoJ.A robotic system towards concrete structure spalling and crack database.Proceedings of 2017 IEEE International Conference on Robotics and Biomimetics 2017; 1276–1281.
4. MaY SelbyN AdibF.Drone relays for battery‐free networks.Proceedings of the Conference of the ACM Special Interest Group on Data Communication 2017 335–347.
5. ELIOS. (accessed December 10 2020).https://www.flyability.com/elios/.
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