Informative path planning for anomaly detection in environment exploration and monitoring
An unmanned autonomous vehicle (UAV) is sent on a mission to explore and reconstruct an unknown environment from a series of measurements collected by Bayesian optimization. The success of the mission is judged by the UAV’s ability to faithfully reconstruct any anomalous features present in the envi...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier BV
2024
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/1721.1/154253 |