Osunmakinde, IOBagula, A2010-02-182010-02-182009-11Osunmakinde, IO and Bagula, A. 2009. Emergent situation awareness of drivable routes for autonomous robots using temporal probalistic reasoning. Proceedings of the 14th IASTED International Conference on Robotics and Applications (RA 2009). Cambridge, MA, USA, 2-4 November 2009, pp 1-8978-0-88986-813-7http://hdl.handle.net/10204/3950Proceedings of the 14th IASTED International Conference on Robotics and Applications (RA 2009). Cambridge, MA, USA, 2-4 November 2009In this paper, temporal probabilistic reasoning of the Emergent Situation Awareness (ESA) technology is proposed as a supportive strategy for autonomous navigation. The ability to reveal uncertainties over time is a drivable route awareness strategy of hidden paths embedded in the complex environments. Experimental evaluations of the ESA on real life and publicly available road frames outperform the classical statistical baseline methods in handling uncertainties over time. Our awareness results reveal to robotic vehicles that all ground planes are not traversable routes.enRoboticsAutonomous navigationTemporal probalistic reasoningEmergent situation awarenessDynamic Bayesian networksTraversable routesAutonomous robotsConference PresentationOsunmakinde, I., & Bagula, A. (2009). Emergent situation awareness of drivable routes for autonomous robots using temporal probalistic reasoning. http://hdl.handle.net/10204/3950Osunmakinde, IO, and A Bagula. "Emergent situation awareness of drivable routes for autonomous robots using temporal probalistic reasoning." (2009): http://hdl.handle.net/10204/3950Osunmakinde I, Bagula A, Emergent situation awareness of drivable routes for autonomous robots using temporal probalistic reasoning; 2009. http://hdl.handle.net/10204/3950 .TY - Conference Presentation AU - Osunmakinde, IO AU - Bagula, A AB - In this paper, temporal probabilistic reasoning of the Emergent Situation Awareness (ESA) technology is proposed as a supportive strategy for autonomous navigation. The ability to reveal uncertainties over time is a drivable route awareness strategy of hidden paths embedded in the complex environments. Experimental evaluations of the ESA on real life and publicly available road frames outperform the classical statistical baseline methods in handling uncertainties over time. Our awareness results reveal to robotic vehicles that all ground planes are not traversable routes. DA - 2009-11 DB - ResearchSpace DP - CSIR KW - Robotics KW - Autonomous navigation KW - Temporal probalistic reasoning KW - Emergent situation awareness KW - Dynamic Bayesian networks KW - Traversable routes KW - Autonomous robots LK - https://researchspace.csir.co.za PY - 2009 SM - 978-0-88986-813-7 T1 - Emergent situation awareness of drivable routes for autonomous robots using temporal probalistic reasoning TI - Emergent situation awareness of drivable routes for autonomous robots using temporal probalistic reasoning UR - http://hdl.handle.net/10204/3950 ER -