Results 41 to 50 of about 14,413,856 (151)
Semantic SLAM Based on Object Detection and Improved Octomap
IEEE Access, 2018 Due to the development of the computer vision, machine learning, and deep learning technologies, the research community focuses not only on the traditional SLAM problems, such as geometric mapping and localization, but also on semantic SLAM.
Liang Zhang +5 more
doaj +1 more source
Motion segmentation based robust RGB-D SLAM [PDF]
, 2014 © 2014 IEEE. A sparse feature-based motion segmentation algorithm for RGB-D data is proposed which offers us a unified way to handle outliers and dynamic scenarios.
Wang, Y +3 more
core +1 more source
DM-SLAM: A Feature-Based SLAM System for Rigid Dynamic Scenes
ISPRS International Journal of Geo-Information, 2020 Most Simultaneous Localization and Mapping (SLAM) methods assume that environments are static. Such a strong assumption limits the application of most visual SLAM systems.
Junhao Cheng +4 more
doaj +1 more source
An Improved Visual SLAM Based on Map Point Reliability under Dynamic Environments
Applied Sciences, 2023 The visual simultaneous localization and mapping (SLAM) method under dynamic environments is a hot and challenging issue in the robotic field. The oriented FAST and Rotated BRIEF (ORB) SLAM algorithm is one of the most effective methods.
Jianjun Ni +3 more
doaj +1 more source
A Compatible Framework for RGB-D SLAM in Dynamic Scenes
IEEE Access, 2019 Localization and mapping in a dynamic scene is a crucial problem for the indoor visual simultaneous localization and mapping (SLAM) system. Most existed visual odometry (VO) or SLAM systems are based on the assumption that the environment is static.
Lili Zhao +5 more
doaj +1 more source
Bad slam: Bundle adjusted direct RGB-D slam
, 2019 A key component of Simultaneous Localization and Mapping (SLAM) systems is the joint optimization of the estimated 3D map and camera trajectory. Bundle adjustment (BA) is the gold standard for this.
Pollefeys, Marc +8 more
core +1 more source
, 2012 Recently RGB-D sensors have become very popular in the area of Simultaneous Localisation and Mapping (SLAM). The major advantage of these sensors is that they provide a rich source of 3D information at relatively low cost. Unfortunately, these sensors in
Liang Zhao +9 more
core +1 more source
A Monocular-Visual SLAM System with Semantic and Optical-Flow Fusion for Indoor Dynamic Environments
Micromachines, 2022 A static environment is a prerequisite for the stable operation of most visual SLAM systems, which limits the practical use of most existing systems.
Weifeng Chen +6 more
doaj +1 more source
AI‐Powered Smart Displays and AR Glasses: Perspectives and Challenges
Advanced Intelligent Systems, EarlyView.This perspective examines how AI is reshaping smart displays and AR glasses. The latest in image‐quality enhancement, sensor‐integrated display optimization, and physiological sensing in display systems, followed by AI‐assisted AR technologies including waveguide optimization, image compensation, foveated rendering, and multimodal sensing, is discussed.
Luke Benoit +8 more
wiley +1 more source
Bronchoscope Tip Localization With Learned Airway Constraints and an Open Source Simulator
Advanced Intelligent Systems, EarlyView.BronchoLoc addresses feature‐poor bronchoscopic imaging by combining monocular video with a preoperative CT graph to estimate 3D camera location. A local tracker identifies candidate branches, while a sequence‐aware global module refines the trajectory. Demonstrating sub‐centimeter accuracy across synthetic and phantom datasets, this framework advances
Emanuele Nicotra +7 more
wiley +1 more source