Event-based SLAM Benchmark for High-Speed Maneuvers
Event-based SLAM Benchmark for High-Speed Maneuvers
This paper presents EvSLAM, a new benchmarking framework for event-based state estimation. It addresses limitations in existing methods that struggle with six-degree-of-freedom motions and extreme lighting conditions by providing diverse data collection platforms, challenging motion patterns, and a novel evaluation metric to fairly assess the operational limits of event-based solutions.
The authors introduce EvSLAM, a benchmarking framework designed to evaluate event-based state estimation under high-speed maneuvers, addressing limitations in existing datasets and methods that fail to generalize to six-degree-of-freedom motions or extreme lighting conditions.
Source: arXiv Robotics — research abstracts · Read original article ↗
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Source：arXiv Robotics — research abstracts · arxiv.org