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Using acoustic sensor technologies to create a more terrain capable unmanned ground vehicle

Using acoustic sensor technologies to create a more terrain capable unmanned ground vehicle
Using acoustic sensor technologies to create a more terrain capable unmanned ground vehicle
Unmanned Ground Vehicle’s (UGV) have to cope with the most complex range of dynamic and variable obstacles and therefore need to be highly intelligent in order to cope with navigating in such a cluttered environment. When traversing over different terrains (whether it is a UGV or a commercial manned vehicle) different drive styles and configuration settings need to be selected in order to travel successfully over each terrain type. These settings are usually selected by a human operator in manned systems on what they assume the ground conditions to be, but how can an autonomous UGV ‘sense’ these changes in terrain or ground conditions? This paper will investigate noncontact acoustic sensor technologies and how they can be used to detect different terrain types by listening to the interaction between the wheel and the terrain. The results can then be used to create a terrain classification list for the system so in future missions it can use the sensor technology to identify the terrain type it is trying to traverse, which creating a more autonomous and terrain capable vehicle. The technology would also benefit commercial driver assistive technologies
unmanned ground vehicles, terrain sensing, situational awareness, tyre noise
0302-9743
574-579
Odedra, Siddharth
3ebba4cd-6118-4330-a2c8-01cb780f8632
Prior, Stephen D.
9c753e49-092a-4dc5-b4cd-6d5ff77e9ced
Karamanoglu, Mehmet
635b350e-7c35-468b-b990-ef59089a1382
Erbil, Mehmet Ali
c813ee61-025d-4a31-a35b-6fcc45926b7a
Shen, Siu-Tsen
3d7a9237-0668-4ebe-87a5-2725b268fbd3
Odedra, Siddharth
3ebba4cd-6118-4330-a2c8-01cb780f8632
Prior, Stephen D.
9c753e49-092a-4dc5-b4cd-6d5ff77e9ced
Karamanoglu, Mehmet
635b350e-7c35-468b-b990-ef59089a1382
Erbil, Mehmet Ali
c813ee61-025d-4a31-a35b-6fcc45926b7a
Shen, Siu-Tsen
3d7a9237-0668-4ebe-87a5-2725b268fbd3

Odedra, Siddharth, Prior, Stephen D., Karamanoglu, Mehmet, Erbil, Mehmet Ali and Shen, Siu-Tsen (2009) Using acoustic sensor technologies to create a more terrain capable unmanned ground vehicle. Lecture Notes in Computer Science, 5639, 574-579. (doi:10.1007/978-3-642-02728-4_61).

Record type: Article

Abstract

Unmanned Ground Vehicle’s (UGV) have to cope with the most complex range of dynamic and variable obstacles and therefore need to be highly intelligent in order to cope with navigating in such a cluttered environment. When traversing over different terrains (whether it is a UGV or a commercial manned vehicle) different drive styles and configuration settings need to be selected in order to travel successfully over each terrain type. These settings are usually selected by a human operator in manned systems on what they assume the ground conditions to be, but how can an autonomous UGV ‘sense’ these changes in terrain or ground conditions? This paper will investigate noncontact acoustic sensor technologies and how they can be used to detect different terrain types by listening to the interaction between the wheel and the terrain. The results can then be used to create a terrain classification list for the system so in future missions it can use the sensor technology to identify the terrain type it is trying to traverse, which creating a more autonomous and terrain capable vehicle. The technology would also benefit commercial driver assistive technologies

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More information

Published date: 2009
Additional Information: ISBN 9783642027284
Keywords: unmanned ground vehicles, terrain sensing, situational awareness, tyre noise
Organisations: Aeronautics, Astronautics & Comp. Eng

Identifiers

Local EPrints ID: 343542
URI: http://eprints.soton.ac.uk/id/eprint/343542
ISSN: 0302-9743
PURE UUID: 96f3077c-482d-44d9-81fd-1952c9b29ba5
ORCID for Stephen D. Prior: ORCID iD orcid.org/0000-0002-4993-4942

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Date deposited: 04 Oct 2012 11:12
Last modified: 18 Feb 2021 17:20

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