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- W3042413858 abstract "The paper introduces the novel method for the estimation of dense scene flow using RGBDcamera`s range data. These calculated flow vectors are used to discover the obstacles, so that the mobile robot`sintelligence for the path planning module can be improved. These mobile robots need to be clever enough todiscover their workspace and correctly keep away from obstacles. In a cluttered area, to avoid obstacles, the AVrequires complete awareness of the surrounding. Hence, the speed and direction of dynamic obstacle are detectedby comparing successive range frames which are obtained from single vision sensor. The current research dealsin regard with the extraction of the 3D flow vectors from the differential scene flow technique. The GradientVector Field (GVF) technique is used with scene drift to decide changes inside the pixels in order to recognise allobstacles in three directions. Our goal is to develop a real-time scene-flow based obstacle avoidance technique thatrelies on a single sensor perception system. Experimental result is shown to demonstrate the efficacy of thetechnique under dim night-time lighting condition using 3D sensor." @default.
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- W3042413858 date "2020-01-01" @default.
- W3042413858 modified "2023-09-23" @default.
- W3042413858 title "REAL-TIME SCENE FLOW ESTIMATION AND OBSTACLE AVOIDANCE UNDER DIM-LIGHTCONDITION USING TIME OF FLIGHT (TOF) SENSOR" @default.
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