Implicit neural representation (INR) in combination with geometric rendering has recently
been employed in real-time dense RGB-D SLAM. Despite active research endeavors being …

Indoor scene reconstruction plays a pivotal role in the fields of computer graphics and vision,
significantly impacting areas such as robotics and augmented reality. Recently …

Over the past two decades, research in the field of Simultaneous Localization and Mapping
(SLAM) has undergone a significant evolution, highlighting its critical role in enabling …

Recent advancements in RGB-only dense Simultaneous Localization and Mapping (SLAM)
have predominantly utilized grid-based neural implicit encodings and/or struggle to …

Neural Radiance Field (NeRF) has garnered significant attention from both academia and
industry due to its intrinsic advantages, particularly its implicit representation and novel view …

Reconstructing an indoor-scale scene from scratch is a difficult task when the camera pose
is unknown. If it is also required to achieve fast convergence without sacrificing quality and …

3D Gaussian Splatting has emerged as a powerful representation of geometry and
appearance for RGB-only dense Simultaneous Localization and Mapping (SLAM), as it …

We propose a multi-sensor fusion localization framework for autonomous heavy-duty trucks
suitable for mining scenarios, which enables high-precision, real-time trajectory generation …