A Mathematical Framework For Robust Obstacle Detection Using Feature Matching
Matthews, N.D. and Greenway, P. (1993) A Mathematical Framework For Robust Obstacle Detection Using Feature Matching. 1st Int. Workshop on Intelligent Autonomous Vehicles , 133--138.
Download
Full text not available from this repository.
Description/Abstract
This paper considers the issues arising from obstacle detection systems for autonomous vehicles, based on image feature matching. The detection probabilities for a 3D obstacle are derived in an algorithm independent framework for a generic vehicle/imaging-sensor model, and subsequently determined for specific scenarios.
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Additional Information: | Organisation: IFAC Address: Sothampton, UK |
| Divisions: | Faculty of Physical Sciences and Engineering > Electronics and Computer Science |
| Item ID: | 250365 |
| Date Deposited: | 04 May 1999 |
| Last Modified: | 01 Mar 2012 10:18 |
| Contributors: | Matthews, N.D. (Author) Greenway, P. (Author) |
| Date: | 1993 |
| Additional Information: | Organisation: IFAC Address: Sothampton, UK |
| Status: | Published |
| Further Information: | Google Scholar |
| ISI Citation Count: | 0 |
| URI: | http://eprints.soton.ac.uk/id/eprint/250365 |
Actions (login required)
 |
View Item |
