10 citations · 17 across the 5 of their papers we have counts for
3 papers · 1 filter
SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM
Nikhil Keetha, Jay Karhade, Krishna Murthy Jatavallabhula +4
Dense simultaneous localization and mapping (SLAM) is crucial for robotics and augmented reality applications. However, current methods are often hampered by the non-volumetric or…
AnyLoc: Towards Universal Visual Place Recognition
Nikhil Keetha, Avneesh Mishra, Jay Karhade +4
Visual Place Recognition (VPR) is vital for robot localization. To date, the most performant VPR approaches are environment- and task-specific: while they exhibit strong performanc…
SubT-MRS Dataset: Pushing SLAM Towards All-weather Environments
Shibo Zhao, Yuanjun Gao, Tianhao Wu +18
Simultaneous localization and mapping (SLAM) is a fundamental task for numerous applications such as autonomous navigation and exploration. Despite many SLAM datasets have been rel…