Results 51 to 60 of about 13,782 (194)
Visual SLAM Based on Semantic Segmentation and Geometric Constraints for Dynamic Indoor Environments
IEEE Access, 2022 Simultaneous localization and mapping (SLAM), a core technology of mobile robots and autonomous driving, has received more and more attention in recent years.
Shiqiang Yang +5 more
doaj +1 more source
UcoSLAM: Simultaneous Localization and Mapping by Fusion of KeyPoints and Squared Planar Markers
, 2019 This paper proposes a novel approach for Simultaneous Localization and Mapping by fusing natural and artificial landmarks. Most of the SLAM approaches use natural landmarks (such as keypoints).
Medina-Carnicer, Rafael +1 more
core +1 more source
ProSLAM: Graph SLAM from a Programmer's Perspective
, 2017 In this paper we present ProSLAM, a lightweight stereo visual SLAM system designed with simplicity in mind. Our work stems from the experience gathered by the authors while teaching SLAM to students and aims at providing a highly modular system that can ...
Colosi, Mirco +2 more
core +1 more source
YGL-SLAM: Point and Line Based Semantic SLAM System for Dynamic Scenes [PDF]
Jisuanji gongchengTraditional vision Simultaneous Localization And Mapping(SLAM) systems are based on the assumption of a static environment. However, real scenes often have dynamic objects, which may lead to decreased accuracy, deterioration of robustness, and even ...
DAI Kangjia, XU Huiying, ZHU Xinzhong, LI Xiyu, HUANG Xiao, CHEN Guoqiang, ZHANG Zhixiong
doaj +1 more source
SGC-VSLAM: A Semantic and Geometric Constraints VSLAM for Dynamic Indoor Environments
Sensors, 2020 As one of the core technologies for autonomous mobile robots, Visual Simultaneous Localization and Mapping (VSLAM) has been widely researched in recent years.
Shiqiang Yang +4 more
doaj +1 more source
, 2018 The monocular vision-based simultaneous localization and mapping (vSLAM) is one of the most challenging problem in mobile robotics and computer vision. In this work we study the post-processing techniques applied to sparse 3D point-cloud maps, obtained ...
A Hornung +9 more
core +1 more source
UNO: Unified Self‐Supervised Monocular Odometry for Platform‐Agnostic Deployment
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT This work presents UNO, a unified monocular visual odometry framework that enables robust and adaptable pose estimation across diverse environments, platforms and motion patterns. Unlike traditional methods that rely on deployment‐specific tuning or predefined motion priors, our approach generalises effectively across a wide range of real ...
Wentao Zhao +7 more
wiley +1 more source
A visual SLAM method based on point-line fusion in weak-matching scene
International Journal of Advanced Robotic Systems, 2020 Visual simultaneous localization and mapping (SLAM) is well-known to be one of the research areas in robotics. There are many challenges in traditional point feature-based approaches, such as insufficient point features, motion jitter, and low ...
Baofu Fang, Zhiqiang Zhan
doaj +1 more source
C-blox: A Scalable and Consistent TSDF-based Dense Mapping Approach
, 2018 In many applications, maintaining a consistent dense map of the environment is key to enabling robotic platforms to perform higher level decision making.
Cadena, César +5 more
core +1 more source
Safety Considerations in Deployment of Robotic Systems – A Systematic Review
Journal of Field Robotics, Volume 43, Issue 1, Page 5-33, January 2026.ABSTRACT An in‐depth understanding of the risks related to robotic systems is crucial to guarantee safety throughout all stages of robot design and operations. This required a thorough risk assessment following international standards. This study presents a systematic review of previous research on safety considerations in the design of robotic systems,
Adedire D. Adesiji +6 more
wiley +1 more source