dc.contributor.author |
Hlophe, K
|
|
dc.contributor.author |
Ferreira, G
|
|
dc.contributor.author |
Green, J
|
|
dc.date.accessioned |
2011-05-26T08:41:34Z |
|
dc.date.available |
2011-05-26T08:41:34Z |
|
dc.date.issued |
2010-09 |
|
dc.identifier.citation |
Hlophe, K, Ferreira, G, and Green, J. 2010. Posture estimation system for underground mine vehicles. 25th International Conference on CAD/CAM, Robotics and Factories of the Future (CARsFOF), CSIR International Convention Centre, Pretoria, 13-16 July 2010, pp. 8 |
en_US |
dc.identifier.uri |
http://hdl.handle.net/10204/5021
|
|
dc.description |
25th International Conference on CAD/CAM, Robotics and Factories of the Future (CARsFOF), CSIR International Convention Centre, Pretoria, 13-16 July 2010 |
en_US |
dc.description.abstract |
Platform pose is a key requirement for autonomous systems. The severe natural conditions and complex terrain of underground mines diminish the performance of classical localization systems. This paper proposes a pose (localization and orientation) estimator that utilizes ultrasonic and electromagnetic signals to facilitate a time-of-flight (TOF) based trilateration. This system decreases maintenance costs by utilizing a wait mode and only operational once a receiver is in the vicinity. The trilateration algorithm utilized is an Ordinary Least Square (OLS) estimator. The pose estimator has two ultrasonic receivers at a fixed separation distance. The two ultrasonic receivers each calculate its unique position. The orientation of the object is obtained from the orientation of a line segment joining the two positions on the object. |
en_US |
dc.language.iso |
en |
en_US |
dc.relation.ispartofseries |
Workflow;4899 |
|
dc.subject |
Trilateration |
en_US |
dc.subject |
Pose estimator |
en_US |
dc.subject |
Ultrasonic |
en_US |
dc.subject |
Radio frequency |
en_US |
dc.subject |
Autonomous systems |
en_US |
dc.subject |
Time-of-flight |
en_US |
dc.title |
Posture estimation system for underground mine vehicles |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.identifier.apacitation |
Hlophe, K., Ferreira, G., & Green, J. (2010). Posture estimation system for underground mine vehicles. http://hdl.handle.net/10204/5021 |
en_ZA |
dc.identifier.chicagocitation |
Hlophe, K, G Ferreira, and J Green. "Posture estimation system for underground mine vehicles." (2010): http://hdl.handle.net/10204/5021 |
en_ZA |
dc.identifier.vancouvercitation |
Hlophe K, Ferreira G, Green J, Posture estimation system for underground mine vehicles; 2010. http://hdl.handle.net/10204/5021 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Hlophe, K
AU - Ferreira, G
AU - Green, J
AB - Platform pose is a key requirement for autonomous systems. The severe natural conditions and complex terrain of underground mines diminish the performance of classical localization systems. This paper proposes a pose (localization and orientation) estimator that utilizes ultrasonic and electromagnetic signals to facilitate a time-of-flight (TOF) based trilateration. This system decreases maintenance costs by utilizing a wait mode and only operational once a receiver is in the vicinity. The trilateration algorithm utilized is an Ordinary Least Square (OLS) estimator. The pose estimator has two ultrasonic receivers at a fixed separation distance. The two ultrasonic receivers each calculate its unique position. The orientation of the object is obtained from the orientation of a line segment joining the two positions on the object.
DA - 2010-09
DB - ResearchSpace
DP - CSIR
KW - Trilateration
KW - Pose estimator
KW - Ultrasonic
KW - Radio frequency
KW - Autonomous systems
KW - Time-of-flight
LK - https://researchspace.csir.co.za
PY - 2010
T1 - Posture estimation system for underground mine vehicles
TI - Posture estimation system for underground mine vehicles
UR - http://hdl.handle.net/10204/5021
ER -
|
en_ZA |