An accurate and generalizable dense 3D reconstruction system has attracted much
attention. However, existing 3D dense reconstruction systems are constrained by pre …

We propose DDN-SLAM, a real-time dense neural implicit semantic SLAM system designed
for dynamic scenes. While existing neural implicit SLAM systems perform well in static …

Visual Simultaneous Localization and Mapping (VSLAM), which serves as the primary
technique for locating autonomous vehicles, has gained tremendous development over the …

Simultaneous localization and mapping (SLAM) is the key technology for the automation of
intelligent mining equipment and the digitization of the mining environment. However, the …

视觉同步定位与建图(visual simultaneous localization and mapping, VSLAM)
技术以相机为主要传感器采集图像数据, 基于多视几何, 状态估计等算法原理获取载体的位置和 …

Semantic simultaneous localization and mapping (SLAM) is a popular technology enabling
indoor mobile robots to sufficiently perceive and interact with the environment. In this paper …

Object SLAM is a popular approach for autonomous driving and robotics, but accurate object
perception in outdoor environments remains a challenge. State-of-the-art object SLAM …

Accurate perception of objects in the environment is important for improving the scene
understanding capability of SLAM systems. In robotic and augmented reality applications …

This study proposes a mother-slave robot tracking system that identifies the target, predicts
its location, and tracks it based on a single image. The proposed system utilizes a …

Object-level landmarks enable the SLAM system to construct robust object-keyframe
constraints of bundle adjustment and improve the pose estimation performance. In this …