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Moreover, the navigation is supported by an obstacle detection strategy based on v-disparity images.
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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 detection agent (Det:AGT) obtains video stream utilizing video:SRV service and starts detecting obstacles through the obstacle detection service, Detc SRV.
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.
Specifically, we address obstacle detection as an anomaly detection problem.
Figure 3 shows the principle of the detection strategy.
Figure 3: The principle of the chip-basd detection strategy.
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