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A Mathematical Framework For Robust Obstacle Detection Using Feature Matching

Record type: Conference or Workshop Item (Other)

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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Citation

Matthews, N.D. and Greenway, P. (1993) A Mathematical Framework For Robust Obstacle Detection Using Feature Matching At 1st Int. Workshop on Intelligent Autonomous Vehicles. , 133--138.

More information

Published date: 1993
Additional Information: Organisation: IFAC Address: Sothampton, UK
Venue - Dates: 1st Int. Workshop on Intelligent Autonomous Vehicles, 1993-01-01
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

Catalogue record

Date deposited: 04 May 1999
Last modified: 18 Jul 2017 10:42

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Contributors

Author: N.D. Matthews
Author: P. Greenway

University divisions


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