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dc.contributor.authorOrozco Rosas, Ulises-
dc.contributor.otherPicos, Keniaes_ES
dc.contributor.otherDíaz Ramírez, Víctor H.es_ES
dc.identifier.uridoi: 10.1117/12.2273596-
dc.description.abstractA visual approach in environment recognition for robot navigation is proposed. This work includes a template matching filtering technique to detect obstacles and feasible paths using a single camera to sense a cluttered environment. In this problem statement, a robot can move from the start to the goal by choosing a single path between multiple possible ways. In order to generate an efficient and safe path for mobile robot navigation, the proposal employs a pseudo-bacterial potential field algorithm to derive optimal potential field functions using evolutionary computation. Simulation results are evaluated in synthetic and real scenes in terms of accuracy of environment recognition and efficiency of path planning computation.es_ES
dc.rightsAtribución-NoComercial-CompartirIgual 2.5 México*
dc.subjectEnvironment recognitiones_ES
dc.subjectRobot visiones_ES
dc.subjectTemplate matching filterses_ES
dc.subjectPath planninges_ES
dc.subjectPseudo-bacterial potential fieldes_ES
dc.titleVisual environment recognition for robot path planning using template matched filterses_ES
dc.contributor.aditionalMontiel, Oscar-
dc.contributor.aditionalSepúlveda, Roberto-
dc.subject.sedeCampus Tijuanaes_ES
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