DynORecon: Dynamic Object Reconstruction for Navigation
September 30, 2024 Β· Declared Dead Β· π IEEE International Conference on Robotics and Automation
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Authors
Yiduo Wang, Jesse Morris, Lan Wu, Teresa Vidal-Calleja, Viorela Ila
arXiv ID
2409.19928
Category
cs.RO: Robotics
Citations
1
Venue
IEEE International Conference on Robotics and Automation
Last Checked
4 months ago
Abstract
This paper presents DynORecon, a Dynamic Object Reconstruction system that leverages the information provided by Dynamic SLAM to simultaneously generate a volumetric map of observed moving entities while estimating free space to support navigation. By capitalising on the motion estimations provided by Dynamic SLAM, DynORecon continuously refines the representation of dynamic objects to eliminate residual artefacts from past observations and incrementally reconstructs each object, seamlessly integrating new observations to capture previously unseen structures. Our system is highly efficient (~20 FPS) and produces accurate (~10 cm) reconstructions of dynamic objects using simulated and real-world outdoor datasets.
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