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Open image in new window Fig. 3 Static and moving obstacle detection flowchart.
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This data is then processed and analyzed by an obstacle detection module to detect any obstacles in front of the user.
The flowchart of static and moving obstacle detection is shown in Fig. 3. Concerning moving obstacle detection, we employ the human detection module provided by Kinect SDK.
The detection agent (Det:AGT) obtains video stream utilizing video:SRV service and starts detecting obstacles through the obstacle detection service, Detc SRV.
Once the obstacle detected is avoided, the steering agent informs the obstacle detection agent that the obstacle is avoided and the navigation agent directs the steering agent to continue to follow a straight path.
The obstacle detection method proposed is more suitable for detecting structured obstacles that may have vertical edges; for example, walls, pillars and tables.
Methods for obstacle detection and warning could be categorized depending on how the obstacles are detected and how their information is sent to the user.
"Obstacle detection" explains the obstacle detection proposed.
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