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Image-Based Trajectory Tracking Through Unknown Environments Without Absolute Positioning
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DOI：10.1109/TMECH.2022.3175819.png)
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摘要
En 中文
This article describes a stereo image-based visual servoing (VS) system for trajectory tracking by a nonholonomic robot without externally derived pose information nor a known visual map of the environment. It is called trajectory servoing (TS). The critical component is a feature-based, indirect simultaneous localization and mapping (SLAM) method to provide a pool of available features with estimated depth, so that they may be propagated forward in time to generate image feature trajectories for VS. Short and long distance experiments show the benefits of TS for navigating unknown areas without absolute positioning. Empirically, TS has better trajectory tracking performance than pose-based feedback when both rely on the same underlying SLAM system.
Keyword:
Trajectory
Trajectory tracking
Visualization
Robots
Navigation
Simultaneous localization and mapping
Cameras
Computer vision
robot control
robotics
期刊
I
IF:
7.3
论文数:
5.5K
被引数:
2.4W
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Navigating the Landscape for Real-Time Localization and Mapping for Robotics and Virtual and Augmented Reality.png)
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