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A Mathematical Framework For Robust Obstacle Detection Using Feature Matching

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
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. 133--138 .

Record type: Conference or Workshop Item (Other)

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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More information

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

Catalogue record

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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