2024
Forward Prediction of Target Localization Failure Through Pose Estimation Artifact Modelling
RA-L 2024
For safety critical applications the ability of localization systems to self-assess their own performance and know when they are failing is as important as absolute accuracy. Previous methods have self-assessed current system performance, identifying failure after it occurs. We propose to instead pr