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A method of real-time collision obstacle for autonomous mobile robots in local dynamic environment using multi-sensor data fusion is proposed. Due to the effectiveness of the optical flow sensors, the robot can acquire more accurate self-motion information. This paper also proposes an approach to complete enhancement based on the earlier vector field histogram algorithm (VFH), which is called VFH#...
This paper proposes a method of real-time obstacle avoidance for autonomous mobile robots in local dynamic environment using multi-sensor data fusion. Due to the effectiveness of the optic-mice sensors, a model of the optic-mice sensors , from which the robot can acquire more accurate self- motion information. This paper also presents an approach to complete enhancement based on the earlier Vector...
Localization and map building are two essential tasks for an autonomous mobile robot's indoor navigation without a prior map. This paper describes a mobile robot system designed for simultaneous localization and mapping (SLAM) for an autonomous mobile robot in an indoor environment. Due to variant sensor modeling for sonar range finder and CCD camera, weighted least square fitting and Canny operator...
This paper proposes a method of simultaneous localization and mapping (SLAM) for an autonomous mobile robot in an indoor environment using binocular stereo vision systems. Due to sensor model for binocular stereo vision sensor, parallax adjustment and non-local maximum suppression algorithm are used to extract certain two-dimensional horizontal environmental features and vertical edges respectively...
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