A Fault Detection Algorithm for LiDAR/IMU Integrated Localization Systems with Non-Gaussian Noises
Date:
Presented a fault detector for EKF-based LiDAR/IMU localization when nominal errors depart from Gaussian assumptions.
The presentation focused on the gap between textbook Gaussian assumptions and real localization errors, and on how a Gaussian-mixture treatment changes detection design.