HESVI: Event-Based Stereo Visual–Inertial SLAM with Hybrid Marginalization and Adaptive Heterogeneous Kernel for UAV Remote-Sensing Applications
Unmanned aerial vehicles (UAVs) have become essential platforms for remote sensing in challenging environments such as high-dynamic-range (HDR) scenes and low-texture areas. However, conventional frame-based visual–inertial simultaneous localization and mapping (SLAM) systems often suffer from motion blur and overexpos...