Name
Abstract | ||
|---|---|---|
Many animals are able to derive compass information from the skylight polarization pattern that appears due to scattering of sunlight. In this paper, the polarized light compass, which draws on the highly sensitive visual perception system of the animal, is introduced in the visual place recognition system. This sensor has the advantage of no cumulative heading errors. Firstly, the composition of place recognition system is introduced, then the polarized light compass and its orientation method are described. Finally, the proposed method is tested by the actual vehicle experiment. The experimental results show that heading constraint can improve the accuracy and efficiency of place recognition. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/IRC.2019.00050 | 2019 Third IEEE International Conference on Robotic Computing (IRC) |
Keywords | Field | DocType |
Compass,Cameras,Sun,Navigation,Feature extraction,Image recognition,Azimuth | Computer vision,Compass,Recognition system,Computer science,Azimuth,Polarization (waves),Feature extraction,Artificial intelligence | Conference |
ISBN | Citations | PageRank |
978-1-5386-9245-5 | 0 | 0.34 |
References | Authors | |
0 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guoliang Han | 1 | 0 | 1.69 |
| Xiaofeng He | 2 | 1648 | 137.87 |
| Xiaoping Hu | 3 | 408 | 59.63 |
| Lilian Zhang | 4 | 7 | 2.20 |
| Chen Fan | 5 | 3 | 2.67 |
| Jun Mao | 6 | 11 | 2.56 |
| Xin Li | 7 | 0 | 0.34 |
| Xuesong Wu | 8 | 0 | 0.68 |