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.
Reference:
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
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
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
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 .
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