Visual SLAM (VSLAM) has been develo** rapidly due to its advantages of low-cost
sensors, the easy fusion of other sensors, and richer environmental information. Traditional …

Abstract Visual Simultaneous Localization and Map** (VSLAM) technology has become a
key technology in autonomous driving and robot navigation. Relying on camera sensors …

We present a method that simultaneously addresses the tasks of dynamic scene novel-view
synthesis and six degree-of-freedom (6-DOF) tracking of all dense scene elements. We …

Distributed as an open‐source library since 2013, real‐time appearance‐based map**
(RTAB‐Map) started as an appearance‐based loop closure detection approach with …

The assumption of scene rigidity is common in visual SLAM algorithms. However, it limits
their applicability in populated real-world environments. Furthermore, most scenarios …

In this paper, we present a method for single image three-dimensional (3-D) cuboid object
detection and multiview object simultaneous localization and map** in both static and …

Abstract Neural Radiance Fields (NeRFs) have shown remarkable success in synthesizing
photorealistic views from multi-view images of static scenes but face challenges in dynamic …

Simultaneous localization and map** (SLAM) technology is essential for robots to
navigate unfamiliar environments. It utilizes the sensors the robot carries to answer the …

Estimating geometry from dynamic scenes, where objects move and deform over time,
remains a core challenge in computer vision. Current approaches often rely on multi-stage …