Results 51 to 60 of about 14,971 (201)

Degeneracy Sensing Light Detection and Ranging‐Inertial Simultaneous Localization and Mapping with Dual‐Layer Resistant Odometry and Scan‐Context Loop‐Closure Detection Backend in Diverse Environments

Advanced Intelligent Systems, EarlyView.
This paper presents a degeneracy‐aware light detection and ranging (LiDAR)‐inertial framework that enhances LiDAR simultaneous localization and mapping performance in challenging environments. The proposed system integrates a dual‐layer robust odometry frontend with a Scan‐Context‐based loop‐closure detection backend.
Haoming Yang, Liye Zhao, Xukai Ding, Wenjun Li, Kehao Qi   +4 more
wiley   +1 more source

LOFF: LiDAR and Optical Flow Fusion Odometry

Drones
Simultaneous Location and Mapping (SLAM) is a common algorithm for position estimation in GNSS-denied environments. However, the high structural consistency and low lighting conditions in tunnel environments pose challenges for traditional visual SLAM ...
Junrui Zhang, Zhongbo Huang, Xingbao Zhu, Fenghe Guo, Chenyang Sun, Quanxi Zhan, Runjie Shen   +6 more
doaj   +1 more source

A monocular visual SLAM system augmented by lightweight deep local feature extractor using in-house and low-cost LIDAR-camera integrated device

International Journal of Digital Earth, 2022
Simultaneous Localization and Mapping (SLAM) has been widely used in emergency response, self-driving and city-scale 3D mapping and navigation. Recent deep-learning based feature point extractors have demonstrated superior performance in dealing with the
Jing Li, Chenhui Shi, Jun Chen, Ruisheng Wang, Zhiyuan Yang, Fan Zhang, Jianhua Gong   +6 more
doaj   +1 more source

A SLAM System with Direct Velocity Estimation for Mechanical and Solid-State LiDARs

Remote Sensing, 2022
Simultaneous localization and mapping (SLAM) is essential for intelligent robots operating in unknown environments. However, existing algorithms are typically developed for specific types of solid-state LiDARs, leading to weak feature representation ...
Lu Jie, Zhi Jin, Jinping Wang, Letian Zhang, Xiaojun Tan   +4 more
doaj   +1 more source

Voxel‐SLAM: A Complete, Accurate, and Versatile Light Detection and Ranging‐Inertial Simultaneous Localization and Mapping System

Advanced Intelligent Systems, EarlyView.
: In this work, Voxel‐SLAM (simultaneous localization and mapping) is introduced: a complete, accurate, and versatile LiDAR (light detection and ranging) ‐inertial SLAM system consisting of five modules: initialization, odometry, local mapping (LM), loop closure (LC), and global mapping (GM), all employing the same map representation, an adaptive voxel
Zheng Liu, Haotian Li, Chongjian Yuan, Xiyuan Liu, Jiarong Lin, Rundong Li, Chunran Zheng, Bingyang Zhou, Wenyi Liu, Fu Zhang   +9 more
wiley   +1 more source

CONCERT: A Modular Reconfigurable Robot for Construction

Journal of Field Robotics, EarlyView.
ABSTRACT This paper presents CONCERT, a fully reconfigurable modular collaborative robot (cobot) for multiple on‐site operations in a construction site. CONCERT has been designed to support human activities in construction sites by leveraging two main characteristics: high‐power density motors and modularity. In this way, the robot is able to perform a
Luca Rossini, Edoardo Romiti, Arturo Laurenzi, Francesco Ruscelli, Marco Ruzzon, Luca Covizzi, Lorenzo Baccelliere, Stefano Carrozzo, Michael Terzer, Marco Magri, Carlo Morganti, Maolin Lei, Liana Bertoni, Diego Vedelago, Corrado Burchielli, Stefano Cordasco, Luca Muratore, Andrea Giusti, Nikos Tsagarakis   +18 more
wiley   +1 more source

Real‐Time Terrain Traversability Analysis and Mapping for Autonomous Robotics in Dynamic Environments: Fusing Appearance‐ and Geometry‐Based Approaches

Journal of Field Robotics, EarlyView.
ABSTRACT This paper presents advanced methodologies for real‐time terrain analysis and mapping in autonomous robotic systems. The focus is on appearance‐based terrain traversability analysis and geometric‐based terrain traceability analysis. In the appearance‐based approach, an enhanced segmentation model using pixel‐based augmentation and 13 unique ...
Semih Beycimen, Dmitry Ignatyev, Argyrios Zolotas   +2 more
wiley   +1 more source

S2L-SLAM: Sensor Fusion Driven SLAM using Sonar, LiDAR and Deep Neural Networks

2021 IEEE Sensors, 2021
Abstract: The use of different modalities improves the perception of the environment in situations where the conventional sensors fail (camera and LiDAR). The inclusion of these modalities, such as sonar or radar, is however difficult as existing methods for the conventional sensors usually do not generalise well on these different environment ...
Balemans, Niels, Hellinckx, Peter, Latré, Steven, Reiter, Philippe, Steckel, Jan   +4 more
openaire   +2 more sources

SensHB.Q: A Cost‐Effective Force‐Sensitive Handlebar to Control Omnidirectional Robots and Wheelchairs

Journal of Field Robotics, EarlyView.
ABSTRACT This paper details the design and development of SensHB.Q, a force‐sensitive handlebar intended for caregivers driving electric‐powered wheelchairs, particularly those with omnidirectional mobility. The same interface can also be used in the future to operate other omnidirectional motorized systems, such as mobile robots, hospital beds, and ...
Luigi Tagliavini, Giuseppe Quaglia
wiley   +1 more source

Sensor Fusion-Based Approach to Eliminating Moving Objects for SLAM in Dynamic Environments

Sensors, 2021
Accurate localization and reliable mapping is essential for autonomous navigation of robots. As one of the core technologies for autonomous navigation, Simultaneous Localization and Mapping (SLAM) has attracted widespread attention in recent decades ...
Xiangwei Dang, Zheng Rong, Xingdong Liang   +2 more
doaj   +1 more source