A Mathematical Framework For Robust Obstacle Detection Using Feature Matching
A Mathematical Framework For Robust Obstacle Detection Using Feature Matching
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.
133--138
Matthews, N.D.
67f2b57f-7b49-47ef-8910-a7bada8af702
Greenway, P.
828fc895-2bcf-4be0-a0f1-7deb1d3243c0
1993
Matthews, N.D.
67f2b57f-7b49-47ef-8910-a7bada8af702
Greenway, P.
828fc895-2bcf-4be0-a0f1-7deb1d3243c0
Matthews, N.D. and Greenway, P.
(1993)
A Mathematical Framework For Robust Obstacle Detection Using Feature Matching.
1st Int. Workshop on Intelligent Autonomous Vehicles.
.
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Conference or Workshop Item
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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.
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Published date: 1993
Additional Information:
Organisation: IFAC Address: Sothampton, UK
Venue - Dates:
1st Int. Workshop on Intelligent Autonomous Vehicles, 1993-08-31
Organisations:
Electronics & Computer Science
Identifiers
Local EPrints ID: 250365
URI: http://eprints.soton.ac.uk/id/eprint/250365
PURE UUID: a7abf846-fe74-4aea-a1ae-0a3cd3a3cd6f
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Date deposited: 04 May 1999
Last modified: 10 Dec 2021 20:08
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Contributors
Author:
N.D. Matthews
Author:
P. Greenway
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