Name
Abstract | ||
|---|---|---|
For a successful introduction of fully automated vehicles, they must behave both provably safe but also convenient, i.e. comfortable and not overcautious. Given the limited sensing capabilities, especially in urban scenarios where buildings and parking vehicles impose occlusions, this is a challenging task. While recent approaches gave first ideas for boundary conditions of safe behavior, an approach for convenient motion planning that fulfills these constraints is still an open issue. Therefore, we utilize and enhance safety approaches for occlusion handling in order to facilitate comfortable and safe motion planning. We consider worst case assumptions, arising from potential objects at critical sensing field edges, along with their probability. With this information, we can ensure to not act overcautiously while still moving provably safe. The potential of our approach is shown in a modified CommonROAD scenario. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/IVS.2019.8814251 | 2019 IEEE Intelligent Vehicles Symposium (IV) |
Keywords | Field | DocType |
Automated vehicles,occlusions,field of view,provable safety,motion planning,behavior generation | Motion planning,Boundary value problem,Computer science,Distributed computing | Conference |
ISSN | ISBN | Citations |
1931-0587 | 978-1-7281-0561-1 | 1 |
PageRank | References | Authors |
0.37 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maximilian Naumann | 1 | 4 | 1.48 |
| Hendrik Konigshof | 2 | 1 | 0.37 |
| Martin Lauer | 3 | 5 | 4.67 |
| Christoph Stiller | 4 | 2189 | 153.23 |