Results 101 to 110 of about 15,287 (197)

A LiDAR SLAM-Assisted Fusion Positioning Method for USVs. [PDF]

Sensors (Basel), 2023
Shen W, Yang Z, Yang C, Li X.
europepmc   +1 more source

Comprehensive Performance Evaluation between Visual SLAM and LiDAR SLAM for Mobile Robots: Theories and Experiments

Applied Sciences
SLAM (Simultaneous Localization and Mapping), primarily relying on camera or LiDAR (Light Detection and Ranging) sensors, plays a crucial role in robotics for localization and environmental reconstruction.
Yu-Lin Zhao, Yi-Tian Hong, Han-Pang Huang   +2 more
doaj   +1 more source

3D Radiometric Mapping by Means of LiDAR SLAM and Thermal Camera Data Fusion. [PDF]

Sensors (Basel), 2022
De Pazzi D, Pertile M, Chiodini S.
europepmc   +1 more source

Indoor Benchmark of 3-D LiDAR SLAM at Iilab—Industry and Innovation Laboratory

IEEE Access
This paper presents an indoor benchmarking study of state-of-the-art 3D LiDAR-based Simultaneous Localization and Mapping (SLAM) algorithms using the newly developed IILABS 3D – iilab Indoor LiDAR-based SLAM 3D dataset.
Jorge Diogo Ribeiro, Ricardo B. Sousa, Joao G. Martins, Andre S. Aguiar, Filipe N. Santos, Heber Miguel Sobreira   +5 more
doaj   +1 more source

An Integrated INS/LiDAR SLAM Navigation System for GNSS-Challenging Environments. [PDF]

Sensors (Basel), 2022
Abdelaziz N, El-Rabbany A.
europepmc   +1 more source

VS-SLAM: Robust SLAM Based on LiDAR Loop Closure Detection with Virtual Descriptors and Selective Memory Storage in Challenging Environments

Actuators
LiDAR loop closure detection is a key technology to mitigate localization drift in LiDAR SLAM, but it remains challenging in structurally similar environments and memory-constrained platforms.
Zhixing Song, Xuebo Zhang, Shiyong Zhang, Songyang Wu, Youwei Wang   +4 more
doaj   +1 more source

Efficient Hardware Accelerator Design of Non-Linear Optimization Correlative Scan Matching Algorithm in 2D LiDAR SLAM for Mobile Robots. [PDF]

Sensors (Basel), 2022
Hu A, Yu G, Wang Q, Han D, Zhao S, Liu B, Yu Y, Li Y, Wang C, Zou X.   +9 more
europepmc   +1 more source

IMU-LiDAR integrated SLAM technology for unmanned driving in mines

Gong-kuang zidonghua
Simultaneous localization and mapping (SLAM) is a critical technology for unmanned driving. Existing SLAM methods have the drawbacks of significant cumulative errors and drift in coal mine roadway environment. In this study, a roadway environment feature-
HU Qingsong, LI Jingwen, ZHANG Yuansheng, LI Shiyin, SUN Yanjing   +4 more
doaj   +1 more source

Autonomous Navigation System of Greenhouse Mobile Robot Based on 3D Lidar and 2D Lidar SLAM. [PDF]

Front Plant Sci, 2022
Jiang S, Wang S, Yi Z, Zhang M, Lv X.
europepmc   +1 more source

Real-Time Detection of Non-Stationary Objects Using Intensity Data in Automotive LiDAR SLAM. [PDF]

Sensors (Basel), 2021
Nowak T, Ćwian K, Skrzypczyński P.
europepmc   +1 more source