An Integrated INS/LiDAR SLAM Navigation System for GNSS-Challenging Environments. [PDF]
Sensors (Basel), 2022 Abdelaziz N, El-Rabbany A.
europepmc +1 more source
Versatile and accurate LiDAR-inertial SLAM with efficient LiDAR bundle adjustment [PDF]
Simultaneous localization and mapping (SLAM) play a prominent role in mobile robots by providing state feedback and environment perception for navigation.
刘政, Liu, Zheng
core
Indoor Benchmark of 3-D LiDAR SLAM at Iilab—Industry and Innovation Laboratory
IEEE AccessThis 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 +5 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 +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
IMU-LiDAR integrated SLAM technology for unmanned driving in mines
Gong-kuang zidonghuaSimultaneous 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 +4 more
doaj +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
SD-SLAM: A Semantic SLAM Approach for Dynamic Scenes Based on LiDAR Point Clouds [PDF]
Point cloud maps generated via LiDAR sensors using extensive remotely sensed data are commonly used by autonomous vehicles and robots for localization and navigation.
Fu, Chunyun +4 more
core +1 more source
Role of Deep Learning in Loop Closure Detection for Visual and Lidar SLAM: A Survey. [PDF]
Sensors (Basel), 2021 Arshad S, Kim GW.
europepmc +1 more source
PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency [PDF]
Accurate and robust localization and mapping are essential components for most autonomous robots. In this paper, we propose a SLAM system for building globally consistent maps, called PIN-SLAM, that is based on an elastic and compact point-based implicit
Behley, Jens +5 more
core +2 more sources