Results 61 to 70 of about 3,988 (156)

A critique of current developments in simultaneous localization and mapping

International Journal of Advanced Robotic Systems, 2016
The number of research publications dealing with the simultaneous localization and mapping problem has grown significantly over the past 15 years. Many fundamental and practical aspects of simultaneous localization and mapping have been addressed, and ...
Shoudong Huang, Gamini Dissanayake
doaj   +1 more source

Panoramic Visual SLAM Technology Based on Spherical Mapping [PDF]

Jisuanji gongcheng
In response to the limited robustness caused by the narrow field-of-view of traditional cameras and the constraints imposed by image distortion in existing panoramic Simultaneous Localization and Mapping (SLAM) algorithms, this study proposes a novel ...
LIU Ye, LIU Xixiang, XU Hao
doaj   +1 more source

Situations in Construction of 3D Mapping for Slam

MATEC Web of Conferences, 2018
Nowadays, the simultaneous localization and mapping (SLAM) approach has become one of the most advanced engineering methods used for mobile robots to build maps in unknown or inaccessible spaces.
Nguyen Hoang Thuy Trang, Shydlouski Stanislav   +1 more
doaj   +1 more source

Visual-LiDAR Localization and Tree Map Building for Autonomous Robot in Unstructured Forests

IEEE Access
This study proposes a Visual-LiDAR (VL) localization and tree trunk mapping method for an autonomous robot in unstructured forests. In unstructured outdoor environments such as forests and orchards, the GPS signal is often unreliable and occluded by ...
Kwanwoo Park, Soon-Yong Park
doaj   +1 more source

Hector SLAM 2D Mapping for Simultaneous Localization and Mapping (SLAM) [PDF]

Journal of Engineering and Applied Sciences, 2019
Shahrizal Saat, AN.MF. Airini, Muhammad Salihin Saealal, A.R. Wan Norhisyam, M.S. Farees Ezwan   +4 more
openaire   +1 more source

RLI-SLAM: Fast Robust Ranging-LiDAR-Inertial Tightly-Coupled Localization and Mapping

Sensors
Simultaneous localization and mapping (SLAM) is an essential component for smart robot operations in unknown confined spaces such as indoors, tunnels and underground.
Rui Xin, Ningyan Guo, Xingyu Ma, Gang Liu, Zhiyong Feng   +4 more
doaj   +1 more source

SD-VIS: A Fast and Accurate Semi-Direct Monocular Visual-Inertial Simultaneous Localization and Mapping (SLAM). [PDF]

Sensors (Basel), 2020
Liu Q, Wang Z, Wang H.
europepmc   +1 more source

Semantic SLAM with Multi-Modal Perception: Survey on Robust Long-Term Localization for Autonomous Vehicles

Robotics
Long-term localization in dynamic and changing environments remains a key challenge for autonomous vehicles. Semantic Simultaneous Localization and Mapping (SLAM) enhances traditional SLAM by integrating high-level semantic understanding, enabling robust
Álvaro Navarro-Pérez, Bladimir Bacca-Cortés, Eduardo Caicedo-Bravo   +2 more
doaj   +1 more source

SLAM Meets NeRF: A Survey of Implicit SLAM Methods

World Electric Vehicle Journal
In recent years, Simultaneous Localization and Mapping (SLAM) systems have shown significant performance, accuracy, and efficiency gains, especially when Neural Radiance Fields (NeRFs) are implemented.
Kaiyun Yang, Yunqi Cheng, Zonghai Chen, Jikai Wang   +3 more
doaj   +1 more source

DRV-SLAM: An Adaptive Real-Time Semantic Visual SLAM Based on Instance Segmentation Toward Dynamic Environments

IEEE Access
Traditional simultaneous localization and mapping (SLAM) methodologies predominantly rely on the assumption of a static environment. This constraint limits the applicability of most visual SLAM systems in various real-world scenarios.
Qiang Ji, Zikang Zhang, Yifu Chen, Enhui Zheng   +3 more
doaj   +1 more source