Results 91 to 100 of about 14,971 (201)

A Review of Dynamic Object Filtering in SLAM Based on 3D LiDAR

Sensors
SLAM (Simultaneous Localization and Mapping) based on 3D LiDAR (Laser Detection and Ranging) is an expanding field of research with numerous applications in the areas of autonomous driving, mobile robotics, and UAVs (Unmanned Aerial Vehicles).
Hongrui Peng, Ziyu Zhao, Liguan Wang
doaj   +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

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

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

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

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

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

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

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

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