11 citations · 12 across the 3 of their papers we have counts for
3 papers
OKVIS2-X: Open Keyframe-based Visual-Inertial SLAM Configurable with Dense Depth or LiDAR, and GNSS
Simon Boche, Jaehyung Jung, Sebastián Barbas Laina +1
To empower mobile robots with usable maps as well as highest state estimation accuracy and robustness, we present OKVIS2-X: a state-of-the-art multi-sensor Simultaneous Localizatio…
Tightly-Coupled LiDAR-Visual-Inertial SLAM and Large-Scale Volumetric Occupancy Mapping
Simon Boche, Sebastián Barbas Laina, Stefan Leutenegger
Autonomous navigation is one of the key requirements for every potential application of mobile robots in the real-world. Besides high-accuracy state estimation, a suitable and glob…
Visual-Inertial SLAM with Tightly-Coupled Dropout-Tolerant GPS Fusion
Simon Boche, Xingxing Zuo, Simon Schaefer +1
Robotic applications are continuously striving towards higher levels of autonomy. To achieve that goal, a highly robust and accurate state estimation is indispensable. Combining vi…