Name
Abstract | ||
|---|---|---|
Self-localization is a challenging issue in intelligent vehicle (IV) systems. Traditional self-localization methods, such as the Global Navigation Satellite System (GNSS), Inertial Navigation System (INS) and vision simultaneous localization and mapping (vSLAM), are subject to low accuracy, high cost or low robustness. To this end, this paper proposes a new multi-scale site matching localization (... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/MITS.2018.2842024 | IEEE Intelligent Transportation Systems Magazine |
Keywords | Field | DocType |
Global navigation satellite system,Visualization,Computational modeling,Cameras,Intelligent vehicles,Global Positioning System,Three-dimensional displays,Intelligent vehicles | Inertial navigation system,Computer vision,Simulation,Visualization,Satellite system,Robustness (computer science),GNSS applications,Artificial intelligence,Global Positioning System,Engineering,Simultaneous localization and mapping,Bayesian probability | Journal |
Volume | Issue | ISSN |
10 | 3 | 1939-1390 |
Citations | PageRank | References |
1 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yicheng Li | 1 | 4 | 0.76 |
| Zhaozheng Hu | 2 | 14 | 4.31 |
| Li Zhixiong | 3 | 41 | 16.77 |
| Miguel Ángel Sotelo | 4 | 502 | 68.97 |
| Yulin Ma | 5 | 13 | 6.95 |