HESVI: Event-Based Stereo Visual–Inertial SLAM with Hybrid Marginalization and Adaptive Heterogeneous Kernel for UAV Remote-Sensing Applications
This work proposes HESVI, a hybrid marginalization and adaptive heterogeneous kernel state estimation method for UAV remote sensing that effectively enhances the numerical stability, scene adaptability, and localization accuracy of event-based stereo visual–inertial SLAM systems in challenging UAV remote-sensing enviro...