Abstract
In this paper, we propose a novel method for estimating a vehicle's current position, even on roads that have similar patterns. In the proposed method, we classified the semantic information of the nodes in detail and added the semantic information of the link to solve the problem due to similar and repeated patterns. We also improved the mapping method by comparing the result of the duplicated matching with that of the only matching obtained just before corresponding duplicated matching. From the simulation results, we verify that the performance of the proposed method is better than that of the existing method.
| Original language | English |
|---|---|
| Pages (from-to) | 753-758 |
| Number of pages | 6 |
| Journal | Journal of Institute of Control, Robotics and Systems |
| Volume | 22 |
| Issue number | 9 |
| DOIs | |
| Publication status | Published - 2016 Jan 1 |
All Science Journal Classification (ASJC) codes
- Software
- Control and Systems Engineering
- Applied Mathematics
Fingerprint Dive into the research topics of 'An improved position estimation algorithm of vehicles using semantic information of maps'. Together they form a unique fingerprint.
Cite this
Lee, C. G., Choi, Y. H., & Park, J. B. (2016). An improved position estimation algorithm of vehicles using semantic information of maps. Journal of Institute of Control, Robotics and Systems, 22(9), 753-758. https://doi.org/10.5302/J.ICROS.2016.16.0109