TY - GEN
T1 - A Path Planning Method for Video Camera Equipped UAVs Monitoring a Ground Area
AU - Zhang, Jian
AU - Huang, Hailong
N1 - Funding Information:
This work is supported by Australian Research Council. Also, this work received funding from the Australian Government, via grant AUSMURIB000001 associated with ONR MURI grant N00014.
Publisher Copyright:
© 2021 IEEE.
PY - 2021/11
Y1 - 2021/11
N2 - Unmanned Aerial Vehicles (UAVs) have become the necessary tools for a wide range of activities including but not limited to real-time monitoring, surveillance, border patrolling, search and rescue, civilian, scientific and military missions, etc. Their advantage is unprecedented and irreplaceable especially in environments dangerous to humans, for example in radiation or pollution exposed areas. A method for occlusion-aware UAV path planning is presented in this paper, which ensures every point on the target ground area can be seen at least once in a complete surveillance circle. Besides, the geometrically complex environments with occlusions are considered in our research. Compared with many existing methods, we decompose this problem into a waypoint determination problem and an instance of the traveling salesman problem.
AB - Unmanned Aerial Vehicles (UAVs) have become the necessary tools for a wide range of activities including but not limited to real-time monitoring, surveillance, border patrolling, search and rescue, civilian, scientific and military missions, etc. Their advantage is unprecedented and irreplaceable especially in environments dangerous to humans, for example in radiation or pollution exposed areas. A method for occlusion-aware UAV path planning is presented in this paper, which ensures every point on the target ground area can be seen at least once in a complete surveillance circle. Besides, the geometrically complex environments with occlusions are considered in our research. Compared with many existing methods, we decompose this problem into a waypoint determination problem and an instance of the traveling salesman problem.
UR - http://www.scopus.com/inward/record.url?scp=85123623107&partnerID=8YFLogxK
U2 - 10.1109/ANZCC53563.2021.9628286
DO - 10.1109/ANZCC53563.2021.9628286
M3 - Conference article published in proceeding or book
AN - SCOPUS:85123623107
T3 - 2021 Australian and New Zealand Control Conference, ANZCC 2021
SP - 238
EP - 243
BT - 2021 Australian and New Zealand Control Conference, ANZCC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 Australian and New Zealand Control Conference, ANZCC 2021
Y2 - 25 November 2021 through 26 November 2021
ER -