dc.contributor.author |
Osunmakind, IO
|
|
dc.contributor.author |
Ndhlovu, T
|
|
dc.date.accessioned |
2010-08-16T09:49:46Z |
|
dc.date.available |
2010-08-16T09:49:46Z |
|
dc.date.issued |
2009-11 |
|
dc.identifier.citation |
Osunmakind, IO, and Ndhlovu, T. 2009. Ground plane detection for autonomous robots in complex environments inclined with flexed far-field terrains. Proceedings of the 14th IASTED International Conference on Robotics and Applications (RA 2009), Cambridge, Massachusetts, USA, 2-4 November 2009, pp1-8 |
en |
dc.identifier.isbn |
9780889868137 |
|
dc.identifier.uri |
http://hdl.handle.net/10204/4151
|
|
dc.description |
14th IASTED International Conference on Robotics and Applications (RA 2009), Cambridge, Massachusetts, USA, 2-4 November 2009 |
en |
dc.description.abstract |
In this paper, collective intelligence of the Emergent Situation Awareness (ESA) technology is proposed as a supportive strategy for autonomous robotic navigation. The ability to reveal uncertainties over time on flexed far-field is a ground plane detection strategy embedded in the complex environments. Experimental evaluations of the ESA by benchmarking the results of publicly available roads promise that collective intelligence will one day put an end to most autonomous ground plane detection problems. Such detection on flexed far fields tremendously contributes to good navigational strategies for robotic vehicles being cautious of road accidents. |
en |
dc.language.iso |
en |
en |
dc.subject |
Ground plane |
en |
dc.subject |
Autonomous robots |
en |
dc.subject |
Robotics |
en |
dc.subject |
14th IASTED International Conference 2009 |
en |
dc.subject |
Mobile intelligent autonomous systems |
en |
dc.subject |
Emergent situation awareness technology |
en |
dc.title |
Ground plane detection for autonomous robots in complex environments inclined with flexed far-field terrains |
en |
dc.type |
Conference Presentation |
en |
dc.identifier.apacitation |
Osunmakind, I., & Ndhlovu, T. (2009). Ground plane detection for autonomous robots in complex environments inclined with flexed far-field terrains. http://hdl.handle.net/10204/4151 |
en_ZA |
dc.identifier.chicagocitation |
Osunmakind, IO, and T Ndhlovu. "Ground plane detection for autonomous robots in complex environments inclined with flexed far-field terrains." (2009): http://hdl.handle.net/10204/4151 |
en_ZA |
dc.identifier.vancouvercitation |
Osunmakind I, Ndhlovu T, Ground plane detection for autonomous robots in complex environments inclined with flexed far-field terrains; 2009. http://hdl.handle.net/10204/4151 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Osunmakind, IO
AU - Ndhlovu, T
AB - In this paper, collective intelligence of the Emergent Situation Awareness (ESA) technology is proposed as a supportive strategy for autonomous robotic navigation. The ability to reveal uncertainties over time on flexed far-field is a ground plane detection strategy embedded in the complex environments. Experimental evaluations of the ESA by benchmarking the results of publicly available roads promise that collective intelligence will one day put an end to most autonomous ground plane detection problems. Such detection on flexed far fields tremendously contributes to good navigational strategies for robotic vehicles being cautious of road accidents.
DA - 2009-11
DB - ResearchSpace
DP - CSIR
KW - Ground plane
KW - Autonomous robots
KW - Robotics
KW - 14th IASTED International Conference 2009
KW - Mobile intelligent autonomous systems
KW - Emergent situation awareness technology
LK - https://researchspace.csir.co.za
PY - 2009
SM - 9780889868137
T1 - Ground plane detection for autonomous robots in complex environments inclined with flexed far-field terrains
TI - Ground plane detection for autonomous robots in complex environments inclined with flexed far-field terrains
UR - http://hdl.handle.net/10204/4151
ER -
|
en_ZA |