Dynamic Object Detection in Range Data Using Spatiotemporal Normals
- Publisher:
- Australasian Conference on Robotics and Automation
- Publication Type:
- Conference Proceeding
- Citation:
- Australasian Conference on Robotics and Automation, ACRA, 2023, pp. 190-186
- Issue Date:
- 2023-01-01
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On the journey to enable robots to interact with the real world where humans animals and unpredictable elements are acting as independent agents it is crucial for robots to have the capability to detect dynamic objects In this paper we argue that the detection of dynamic objects can be solved by computing the spatiotemporal normals of a point cloud In our experiments we demonstrate that this simple method can be used robustly for LiDAR and depth cameras with performances similar to the state of the art while offering a significantly simpler method 2023 Australasian Robotics and Automation Association All rights reserved
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