Name
Abstract | ||
|---|---|---|
This paper presents a method for doing motion seg- mentation for autonomous vehicles which drive on pla- nar surfaces. There are two distinct types of indepen- dent motion that may occur within an image sequence taken from a moving vehicle. The first generic type of independent motion is when the projected motion of points on the independent object violate the epipolar constraint. The second case is where the epipolar con- straint is not violated. This paper demonstrates that it is possible to detect this second type of independent motion by looking for progressive dis-occlusion of the road. A novel collision prediction method is also given. The method predicts the projection of a corridor down which the AGV will travel. This prediction may be used for time to contact collision prediction and the corridor width embodies an estimate of the vehicles size. |
Year | DOI | Venue |
|---|---|---|
1994 | 10.1109/CVPR.1994.323933 | Seattle, WA |
Keywords | Field | DocType |
automatic guided vehicles,image segmentation,motion estimation,road vehicles,agv,autonomous vehicles,collision prediction,epipolar constraint,image sequence,motion segmentation,moving vehicle | Computer vision,Time to contact,Moving vehicle,Epipolar geometry,Computer science,Segmentation,Collision,Image segmentation,Planar,Artificial intelligence,Motion estimation | Conference |
Volume | Issue | ISSN |
1994 | 1 | 1063-6919 |
ISBN | Citations | PageRank |
3-540-57956-7 | 5 | 1.36 |
References | Authors | |
5 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sinclair, D. | 1 | 5 | 1.36 |
| Boufama, B. | 2 | 5 | 1.36 |
| Roger Mohr | 3 | 474 | 107.07 |