This paper presents a research framework to characterize failure modes in event-based SLAM under degenerate motion patterns, proposing a taxonomy of degenerate motions and a degeneracy-aware SLAM architecture.
Key findings
Event cameras offer advantages for SLAM due to high temporal resolution and dynamic range.
Degenerate motions cause rank deficiency in observation matrix, leading to loss of pose observability.
Proposed taxonomy includes pure rotation, translation along optical axis, planar motion, and low-texture scenarios.
Introduces a degeneracy-aware SLAM architecture that detects rank-deficient configurations.
Validation plan includes simulation studies, benchmark evaluations, and physical robot experiments.
Limitations & open questions
Research focuses on specific degenerate motion patterns and may not cover all possible scenarios.
The proposed degeneracy detection mechanisms require further validation in diverse real-world conditions.