5 accepted papers
Robust 3D scene understanding is crucial for autonomous robots, but degrades sharply in low-light environments where sensor noise and illumination inconsistencies corrupt visual inputs. Even 3D Gaussian Splatting (3DGS), while efficient for real-time reconstruction, produces unstable and artifact-pr…
In recent years, Neural Radiance Fields (NeRF) has revolutionized three-dimensional (3D) reconstruction with its implicit representation. Building upon NeRF, 3D Gaussian Splatting (3D-GS) has departed from the implicit representation of neural networks and instead directly represents scenes as point
Recent advancements in 3D Gaussian Splatting (3DGS) have significantly improved novel view synthesis, playing a crucial role in robotic vision and scene reconstruction. However, 3DGS relies heavily on precise camera poses and sharp images, which are often difficult to obtain in real-world robotic ap
The recent advancements in transformer-based visual trackers have led to significant progress, attributed to their strong modeling capabilities. However, as performance improves, running latency correspondingly increases, presenting a challenge for real-time robotics applications, especially on edge…
Coverage path planning is a major application for mobile robots, which requires robots to move along a planned path to cover the entire map. For large-scale tasks, multirobot systems offer significant advantages. In this letter, we propose Turn-minimizing Multirobot Spanning Tree Coverage Star (TMST