Name
Abstract | ||
|---|---|---|
This article proposes a novel modeling and path planning framework to tackle a new problem, named road-network persistent surveillance problem (RPSP), in which the occurrence location and probability of the events are unknown. To capture such events, an unmanned ground vehicle (UGV) with certain detection ability must move along the road-network with different monitoring priorities to persistently... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TASE.2020.3013288 | IEEE Transactions on Automation Science and Engineering |
Keywords | DocType | Volume |
Surveillance,Path planning,Unmanned aerial vehicles,Roads,Planning,Robots | Journal | 18 |
Issue | ISSN | Citations |
4 | 1545-5955 | 2 |
PageRank | References | Authors |
0.36 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tong Wang | 1 | 2 | 1.04 |
| Panfeng Huang | 2 | 143 | 40.85 |
| Gangqi Dong | 3 | 2 | 0.70 |