Abstract
Path planning for autonomous parking control is difficult and complicated because of its non-holonomic constraints. We proposed the parking path planner KPP (Korea University Path Planner) in our prior work. The purpose of this paper is to prove the advantages of KPP through quantitative and qualitative analyses. Numerical simulations have been carried out for comparison. This paper shows that KPP exhibits outstanding performance from viewpoint of the travel time and the computational time compared with the conventional RRT (Rapidly Exploring Random Tree) method.
Original language | English |
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Title of host publication | 2014 11th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2014 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 614-615 |
Number of pages | 2 |
ISBN (Print) | 9781479953325 |
DOIs | |
Publication status | Published - 1997 Mar 9 |
Event | 2014 11th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2014 - Kuala Lumpur, Malaysia Duration: 2014 Nov 12 → 2014 Nov 15 |
Other
Other | 2014 11th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2014 |
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Country/Territory | Malaysia |
City | Kuala Lumpur |
Period | 14/11/12 → 14/11/15 |
Keywords
- Car-like mobile robot
- KPP
- Non-holonomic planning
- Path Planning
- RRT
ASJC Scopus subject areas
- Artificial Intelligence
- Human-Computer Interaction