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2 days ago · When a mobile robot moves in an unknown environment, the emergence of Simultaneous Localization and Mapping (SLAM) technology becomes crucial for accurately perceiving its surroundings and determining its position in the environment. SLAM technology successfully addresses the issues of low localization accuracy and inadequate real-time performance of traditional mobile robots. In this paper, the Robot Operating System (ROS) robot system is used as a research platform for the 2D laser SLAM ...
- A real-time visual SLAM based on semantic information and ...
Addressing the impact of dynamic objects on visual SLAM is,...
- A real-time visual SLAM based on semantic information and ...
Sep 10, 2024 · Addressing the impact of dynamic objects on visual SLAM is, therefore, crucial for enabling accurate positioning, mapping, and intelligent applications of robots in real-world environments. This paper proposes a real-time RGB-D visual SLAM system designed for dynamic indoor environments.
6 days ago · This work proposes SoMaSLAM, a 2D graph SLAM designed for tiny robots with sparse range sensing that incorporates a soft Manhattan world utilizing landmark-landmark constraints into graph SLAM. We propose a graph SLAM algorithm for sparse range sensing that incorporates a soft Manhattan world utilizing landmark-landmark constraints. Sparse range sensing is necessary for tiny robots that do not have the luxury of using heavy and expensive sensors. Existing SLAM methods dealing with sparse ...
Sep 12, 2024 · These problems lead to errors in the visual odometer, pollution of the map by dynamic object information, and failure of loop closure detection. This paper aims to explore and solve these problems and proposes a new semantic SLAM system, YOD-SLAM, that can work in an indoor dynamic environment.
Sep 22, 2024 · Optimizing Deep Learning-based Simultaneous Localization and Mapping (DL-SLAM) algorithms is essential for efficient implementation on resource-constrained embedded platforms, enabling real-time on-board computation in autonomous mobile robots. This paper presents SPAQ-DL-SLAM, a framework that strategically applies Structured Pruning and ...
3 days ago · Isaac ROS Visual SLAM provides a high-performance, best-in-class ROS 2 package for VSLAM (visual simultaneous localization and mapping). This package uses one or more stereo cameras and optionally an IMU to estimate odometry as an input to navigation.
Sep 13, 2024 · Simultaneous localization and mapping (SLAM) is a significant challenge for autonomous mobile robotics, as it necessitates the reconstruction of an unfamiliar environment while simultaneously determining the robot's position using a map. The mobile robot employed a diverse range of sensors in the SLAM process to gather and interpret a map representation. Geometric model-based strategies have historically been employed for addressing SLAM problems. However, these techniques are prone to ...
