Results 71 to 80 of about 13,782 (194)
Ultra-Wideband Aided Fast Localization and Mapping System
, 2017 This paper proposes an ultra-wideband (UWB) aided localization and mapping system that leverages on inertial sensor and depth camera. Inspired by the fact that visual odometry (VO) system, regardless of its accuracy in the short term, still faces ...
Nguyen, Thien-Minh +3 more
core +1 more source
Constructing Locally Dense Point Clouds Using OpenSfM and ORB-SLAM2
, 2018 This paper aims at finding a method to register two different point clouds constructed by ORB-SLAM2 and OpenSfM. To do this, we post some tags with unique textures in the scene and take videos and photos of that area. Then we take short videos of only the tags to extract their features.
Amer, Fouad +3 more
openaire +2 more sources
GPS‐Denied LiDAR‐Based SLAM—A Survey
IET Cyber-Systems and Robotics, Volume 7, Issue 1, January/December 2025.ABSTRACT In recent years, significant advancements have been made in enabling intelligent unmanned agents to achieve autonomous navigation and positioning within large‐scale indoor or underground environments. Central to these achievements is simultaneous localization and mapping (SLAM) technology.
Haolong Jiang +5 more
wiley +1 more source
Geometric Edge Modelling in Self‐Supervised Learning for Enhanced Indoor Depth Estimation
IET Computer Vision, Volume 19, Issue 1, January/December 2025.We developed a novel algorithm for self‐supervised indoor depth estimation, focussing on improving edge depth predictions by refining depth supervision at edges through a geometric edge model. This approach significantly enhanced edge accuracy and resulted in a 19% improvement in visual odometry performance when integrated with a leading depth ...
Niclas Joswig, Laura Ruotsalainen
wiley +1 more source
Dynamic Visual SLAM System Integrating Optical Flow and Multi-View Geometry [PDF]
Jisuanji gongchengVisual Simultaneous Localization and Mapping (SLAM) reduces the positioning accuracy and cannot accurately construct static maps under dynamic interference. A dynamic visual SLAM system combining optical flow and multi-view geometry is proposed, which is
ZHOU Qinyuan, DENG Yueping, ZHANG Lei, ZHANG Chen, LU Rirong, HU Xianzhe
doaj +1 more source
Efficient Data Compression for CVSLAM Based on Arithmetic Coding in ORB-SLAM2 Framework
Taiyuan Ligong Daxue xuebao, 2023 Purposes Collaborative Visual Simultaneous Localization and Mapping (CVSLAM) has attracted more and more researchers’ attention in the field of robotics owing to its low cost of required sensors, the ability to acquire rich environmental information, and
Yinggang WANG +4 more
doaj +1 more source
RGBDTAM: A Cost-Effective and Accurate RGB-D Tracking and Mapping System
, 2017 Simultaneous Localization and Mapping using RGB-D cameras has been a fertile research topic in the latest decade, due to the suitability of such sensors for indoor robotics.
Civera, Javier, Concha, Alejo
core +1 more source
Deep Depth‐Flow Odometry With Inertial Sensor Fusion
Electronics Letters, Volume 61, Issue 1, January/December 2025.This letter presents a novel visual‐inertial odometry framework that fuses inertial measurement unit measurements with deep learning‐based optical flow and depth predictions to improve pose estimation accuracy. By leveraging optical flow consistency and monocular depth estimation, the proposed method effectively mitigates scale drift, a common issue in
Jeongmin Kang
wiley +1 more source
PSPNet-SLAM: A Semantic SLAM Detect Dynamic Object by Pyramid Scene Parsing Network
IEEE Access, 2020 Simultaneous Localization and Mapping (SLAM) plays an important role in the computer vision and robotic field. The traditional SLAM framework adopts a strong static world assumption for convenience of analysis.
Xudong Long, Weiwei Zhang, Bo Zhao
doaj +1 more source
Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems
, 2018 Predicting the future location of vehicles is essential for safety-critical applications such as advanced driver assistance systems (ADAS) and autonomous driving.
Atkins, Ella M. +5 more
core +1 more source