Name
Abstract | ||
|---|---|---|
Local trajectory is the base of motion UGV and several algorithms used to calculate desired land robot path. A common approach is to use a 2-D grid based algorithm, such a well-known A*. But problems arise due to specific kinematic of ground vehicle and nonideal movement realisation. In this paper presented an approach to local trajectory planning on base 2-D passability map with considering UGV kinematic constrains and also errors in the implementation of the path, computed for UGV motion. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/MECO.2016.7525771 | 2016 5th Mediterranean Conference on Embedded Computing (MECO) |
Keywords | DocType | ISBN |
autonomous ground vehicles,local trajectory planning,obstacle avoidance,A-star algorithm,trajectory smoothing | Conference | 978-1-5090-2223-6 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stanislav A. Goll | 1 | 0 | 1.35 |
| Sergey S. Luksha | 2 | 0 | 1.01 |
| Vladimir S. Leushkin | 3 | 0 | 1.01 |
| Alexandr G. Borisov | 4 | 0 | 1.01 |