TY - GEN
T1 - An evaluation of sampling path strategies for an autonomous underwater vehicle
AU - Ho, Colin
AU - Mora, Andres
AU - Saripalli, Srikanth
PY - 2012/1/1
Y1 - 2012/1/1
N2 - A critical problem in planning sampling paths for autonomous underwater vehicles is balancing obtaining an accurate scalar field estimation against efficiently utilizing the stored energy capacity of the sampling vehicle. Adaptive sampling approaches can only provide solutions when real-time and a priori environmental data is available. Through utilizing a cost-evaluation function to experimentally evaluate various sampling path strategies for a wide range of scalar fields and sampling densities, it is found that a systematic spiral sampling path strategy is optimal for high-variance scalar fields for all sampling densities and low-variance scalar fields when sampling is sparse. The random spiral sampling path strategy is found to be optimal for low-variance scalar fields when sampling is dense.
AB - A critical problem in planning sampling paths for autonomous underwater vehicles is balancing obtaining an accurate scalar field estimation against efficiently utilizing the stored energy capacity of the sampling vehicle. Adaptive sampling approaches can only provide solutions when real-time and a priori environmental data is available. Through utilizing a cost-evaluation function to experimentally evaluate various sampling path strategies for a wide range of scalar fields and sampling densities, it is found that a systematic spiral sampling path strategy is optimal for high-variance scalar fields for all sampling densities and low-variance scalar fields when sampling is sparse. The random spiral sampling path strategy is found to be optimal for low-variance scalar fields when sampling is dense.
UR - http://www.scopus.com/inward/record.url?scp=84864459229&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84864459229&partnerID=8YFLogxK
U2 - 10.1109/ICRA.2012.6225231
DO - 10.1109/ICRA.2012.6225231
M3 - Conference contribution
AN - SCOPUS:84864459229
SN - 9781467314039
T3 - Proceedings - IEEE International Conference on Robotics and Automation
SP - 5328
EP - 5333
BT - 2012 IEEE International Conference on Robotics and Automation, ICRA 2012
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2012 IEEE International Conference on Robotics and Automation, ICRA 2012
Y2 - 14 May 2012 through 18 May 2012
ER -