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Improving the mobility performance of autonomous unmanned ground vehicles by adding the ability to ‘sense/feel‘ their local environment

Improving the mobility performance of autonomous unmanned ground vehicles by adding the ability to ‘sense/feel‘ their local environment
Improving the mobility performance of autonomous unmanned ground vehicles by adding the ability to ‘sense/feel‘ their local environment
This paper explores how a ‘learning‘ algorithm can be added to UGV’s by giving it the ability to test the terrain through ‘feeling‘ using incorporated sensors, which would in turn increase its situational awareness. Once the conditions are measured the system will log the results and a database can be built up of terrain types and their properties (terrain classification), therefore when it comes to operating autonomously in an unknown, unpredictable environment, the vehicle will be able to cope by identifying the terrain and situation and then decide on the best and most efficient way to travel over it by making adjustments, which would greatly improve the vehicles ability to operate autonomously
unmanned, autonomous, mobility, situational awareness, way finding, terrain, reconfigurable, intelligent wheels
0302-9743
514-522
Odedra, Siddharth
3ebba4cd-6118-4330-a2c8-01cb780f8632
Prior, Stephen D.
9c753e49-092a-4dc5-b4cd-6d5ff77e9ced
Karamanoglu, Mehmet
635b350e-7c35-468b-b990-ef59089a1382
Odedra, Siddharth
3ebba4cd-6118-4330-a2c8-01cb780f8632
Prior, Stephen D.
9c753e49-092a-4dc5-b4cd-6d5ff77e9ced
Karamanoglu, Mehmet
635b350e-7c35-468b-b990-ef59089a1382

Odedra, Siddharth, Prior, Stephen D. and Karamanoglu, Mehmet (2007) Improving the mobility performance of autonomous unmanned ground vehicles by adding the ability to ‘sense/feel‘ their local environment. Lecture Notes in Computer Science, 4563, 514-522. (doi:10.1007/978-3-540-73335-5_56).

Record type: Article

Abstract

This paper explores how a ‘learning‘ algorithm can be added to UGV’s by giving it the ability to test the terrain through ‘feeling‘ using incorporated sensors, which would in turn increase its situational awareness. Once the conditions are measured the system will log the results and a database can be built up of terrain types and their properties (terrain classification), therefore when it comes to operating autonomously in an unknown, unpredictable environment, the vehicle will be able to cope by identifying the terrain and situation and then decide on the best and most efficient way to travel over it by making adjustments, which would greatly improve the vehicles ability to operate autonomously

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More information

Published date: 2007
Keywords: unmanned, autonomous, mobility, situational awareness, way finding, terrain, reconfigurable, intelligent wheels
Organisations: Aeronautics, Astronautics & Comp. Eng

Identifiers

Local EPrints ID: 343803
URI: http://eprints.soton.ac.uk/id/eprint/343803
ISSN: 0302-9743
PURE UUID: 54f19a0a-0aeb-4f00-bb37-562d4aabb0ce
ORCID for Stephen D. Prior: ORCID iD orcid.org/0000-0002-4993-4942

Catalogue record

Date deposited: 10 Oct 2012 10:30
Last modified: 18 Feb 2021 17:20

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Contributors

Author: Siddharth Odedra
Author: Mehmet Karamanoglu

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