2 papers
cs.RO2024
SF-Loc: A Visual Mapping and Geo-Localization System based on Sparse Visual Structure Frames
Yuxuan Zhou, Xingxing Li, Shengyu Li +3
For high-level geo-spatial applications and intelligent robotics, accurate global pose information is of crucial importance. Map-aided localization is a universal approach to overc…
cs.RO2024
DBA-Fusion: Tightly Integrating Deep Dense Visual Bundle Adjustment with Multiple Sensors for Large-Scale Localization and Mapping
Yuxuan Zhou, Xingxing Li, Shengyu Li +3
Visual simultaneous localization and mapping (VSLAM) has broad applications, with state-of-the-art methods leveraging deep neural networks for better robustness and applicability.…