Results 61 to 70 of about 13,782 (194)

Real-Time Dynamic SLAM Algorithm Based on Deep Learning

IEEE Access, 2022
In the traditional visual simultaneous localization and mapping (SLAM), the strong static assumption leads to a large degradation in the accuracy of visual SLAM in dynamic environments.
Peng Su, Suyun Luo, Xiaoci Huang
doaj   +1 more source

Obstacle‐Aware Navigation for MAVs Using Constant Flow Divergence Control and Texton‐Based Visual Cues

Journal of Robotics, Volume 2026, Issue 1, 2026.
Tiny flying insects rely heavily on optical flow for landings and navigation. By maintaining a constant optical flow divergence, they can approach targets or obstacles with an exponential decay of both relative distance and velocity. Previous studies have shown that Micro Air Vehicles (MAVs) leverage this control strategy for efficient landings and ...
Xu Shi, Hann Woei Ho, Weijie Kuang, Bingxiao Ding   +3 more
wiley   +1 more source

LDSO: Direct Sparse Odometry with Loop Closure

, 2018
In this paper we present an extension of Direct Sparse Odometry (DSO) to a monocular visual SLAM system with loop closure detection and pose-graph optimization (LDSO).
Cremers, Daniel, Demmel, Nikolaus, Gao, Xiang, Wang, Rui   +3 more
core   +1 more source

AKG‐VO: Adaptive Keyframe Generation Method for Improving Visual Odometry in Autonomous Vehicles

Advanced Intelligent Systems, Volume 7, Issue 12, December 2025.
An adaptive keyframe generation method for pose estimation is proposed, incorporating optical flow‐based interframe gap estimation and video frame interpolation techniques. By limiting interframe gaps, meaningful keyframes are generated to enhance tracking reliability.
Donghyun Lee, I Made Putra Arya Winata, Beomsu Cho, Junghyun Oh   +3 more
wiley   +1 more source

A Unified Framework for Mutual Improvement of SLAM and Semantic Segmentation

, 2019
This paper presents a novel framework for simultaneously implementing localization and segmentation, which are two of the most important vision-based tasks for robotics.
Han, Liming, Hua, Minjie, Huang, Bill, Lian, Shiguo, Lin, Yimin, Wang, Kai, Wang, Luowei, Wang, Xiang   +7 more
core   +1 more source

Deep Reinforcement Learning for Localisability‐Aware Mapless Navigation

IET Cyber-Systems and Robotics, Volume 7, Issue 1, January/December 2025.
ABSTRACT Mapless navigation refers to the task of searching for a collision free path without relying on a pre‐defined map. Most current works of mapless navigation assume accurate ground‐truth localisation is available. However, this is not true, especially for indoor environments, where simultaneous localisation and mapping (SLAM) is needed for ...
Yan Gao, Jing Wu, Changyun Wei, Raphael Grech, Ze Ji   +4 more
wiley   +1 more source

Hybrid Dynamic Point Removal and Ellipsoid Modelling of Object‐Based Semantic SLAM

IET Cyber-Systems and Robotics, Volume 7, Issue 1, January/December 2025.
ABSTRACT For the issue of low positioning accuracy in dynamic environments with traditional simultaneous localisation and mapping (SLAM), a dynamic point removal strategy combining object detection and optical flow tracking has been proposed. To fully utilise the semantic information, an ellipsoid model of the detected semantic objects was first ...
Qingyang Xu, Siwei Huang, Yong Song, Bao Pang, Chengjin Zhang   +4 more
wiley   +1 more source

A Visual Odometry Artificial Intelligence‐Based Method for Trajectory Learning and Tracking Applied to Mobile Robots

IET Cyber-Systems and Robotics, Volume 7, Issue 1, January/December 2025.
ABSTRACT Autonomous systems have demonstrated high performance in several applications. One of the most important is localisation systems, which are necessary for the safe navigation of autonomous cars or mobile robots. However, despite significant advances in this field, there are still areas open for research and improvement.
Bernardo Manuel Pirozzo, Mariano De Paula, Sebastián Aldo Villar, Carola de Benito, Gerardo Gabriel Acosta, Rodrigo Picos   +5 more
wiley   +1 more source

Based on BiSeNetV2 for Semantic SLAM in Dynamic Scenes

IEEE Access
In recent years, Simultaneous Localization and Mapping (SLAM) has gradually become a focal point in the field of artificial intelligence applications, such as autonomous driving, and AR/VR, demonstrating its irreplaceable role.
Wang Zhen, Hu Weiwei, Yang Wenlei, Xie Junjie   +3 more
doaj   +1 more source

Optimized feature extraction and object detection for indoor dynamic environment visual SLAM study

International Journal of Advanced Robotic Systems
This study introduces the YORB-SLAM algorithm, a novel approach that integrates an enhanced ORB-SLAM2 framework with a lightweight YOLOv5 model to improve the robustness and accuracy of visual SLAM systems in indoor dynamic environments. By incorporating
Wencheng Wang, Yingchao Wang, Zhenmin Wu
doaj   +1 more source