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   Articles with "lidar slam" as a keyword



A review of LiDAR simultaneous localization and mapping techniques for multi-robot

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recommendations! Published in 2025 at "Robotica"

DOI: 10.1017/s0263574725102178

Abstract: Abstract Simultaneous localization and mapping technology is the basis for multi-robot systems to complete navigation, path planning, and autonomous exploration in complex, dynamic, and Global Positioning System (GPS)-denied environments. This paper reviews the current status… read more here.

Keywords: multi robot; slam; lidar slam; localization mapping ... See more keywords

3D LiDAR SLAM for natural guided navigation of automated guided vehicles in unstructured scenes

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recommendations! Published in 2025 at "Measurement Science and Technology"

DOI: 10.1088/1361-6501/ada78f

Abstract: This paper proposes a 3D Light Detection and Ranging (LiDAR) simultaneous localization and mapping system for indoor unstructured scenes to improve the robustness and accuracy of automated guided vehicles. First, in the point cloud preprocessing… read more here.

Keywords: navigation; lidar slam; guided vehicles; unstructured scenes ... See more keywords

TextGeo-SLAM: A LiDAR SLAM With Text Semantics and Geometric-Constraint-Based Loop Closure

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recommendations! Published in 2025 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2024.3517699

Abstract: A robust back-end module with loop closure detection is crucial for accurate positioning and mapping in LiDAR-based simultaneous localization and mapping (SLAM) systems, particularly in Internet of Things (IoT) environments where multiple devices collaborate. Traditional… read more here.

Keywords: semantics; loop closure; slam; lidar slam ... See more keywords

P3-LOAM: PPP/LiDAR Loosely Coupled SLAM With Accurate Covariance Estimation and Robust RAIM in Urban Canyon Environment

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recommendations! Published in 2021 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2020.3042968

Abstract: Light Detection and Ranging (LiDAR) based Simultaneous Localization and Mapping (SLAM) has drawn increasing interests in autonomous driving. However, LiDAR-SLAM suffers from accumulating errors which can be significantly mitigated by Global Navigation Satellite System (GNSS).… read more here.

Keywords: ppp; lidar; loam; canyon environment ... See more keywords
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A Novel 3D LiDAR SLAM Based on Directed Geometry Point and Sparse Frame

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recommendations! Published in 2021 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2020.3043200

Abstract: Simultaneous localization and mapping is an indispensable yet challenging direction for mobile robots. Attracted by 3D LiDAR with accurate depth information and robustness to illumination variations, many 3D LiDAR SLAM methods based on scan-to-map matching… read more here.

Keywords: lidar slam; sparse; based directed; geometry ... See more keywords

$\mathcal {PLC}$-LiSLAM: LiDAR SLAM With Planes, Lines, and Cylinders

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recommendations! Published in 2022 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2022.3180116

Abstract: Planes, lines, and cylinders widely exist in man-made environments. This letter introduces a LiDAR simultaneous localization and mapping (SLAM) system using those three types of landmarks. Our algorithm has three components including local mapping, global… read more here.

Keywords: lines cylinders; lidar slam; mathcal plc; planes lines ... See more keywords

A Mobile Semantic Lidar SLAM Processor With Artificial-Intelligence-Based 3-D Perception and Spatiotemporal-Aware Computing

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recommendations! Published in 2025 at "IEEE Micro"

DOI: 10.1109/mm.2024.3503414

Abstract: A low-power artificial intelligence (AI)-based semantic lidar simultaneous localization and mapping (SLAM) processor is proposed to expand autonomous driving into emerging mobile robots. It combines point neural network (PNN)-based 3-D segmentation with lidar SLAM to… read more here.

Keywords: slam; artificial intelligence; lidar slam; semantic lidar ... See more keywords

EKF-LOAM: An Adaptive Fusion of LiDAR SLAM With Wheel Odometry and Inertial Data for Confined Spaces With Few Geometric Features

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recommendations! Published in 2022 at "IEEE Transactions on Automation Science and Engineering"

DOI: 10.1109/tase.2022.3169442

Abstract: A precise localization system and a map that properly represents the environment are fundamental for several robotic applications. Traditional LiDAR SLAM algorithms are particularly susceptible to underestimating the distance covered by real robots in environments… read more here.

Keywords: lidar slam; geometric features; wheel odometry; ekf loam ... See more keywords

A LiDAR SLAM With PCA-Based Feature Extraction and Two-Stage Matching

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recommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2022.3156982

Abstract: Simultaneous localization and mapping (SLAM) has been studied for decades in the field of robotics, in which light detection and ranging (LiDAR) is widely used in various application areas benefiting from its accessibility of direct,… read more here.

Keywords: pca based; slam; two stage; based feature ... See more keywords

An Efficient LiDAR SLAM With Angle-Based Feature Extraction and Voxel-Based Fixed-Lag Smoothing

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recommendations! Published in 2024 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2024.3436055

Abstract: Light detection and ranging (LiDAR) simultaneous localization and mapping (SLAM), which provides accurate pose estimation and map construction, has a broad range of applications in autonomous driving. However, in some complex scenarios, such as degraded… read more here.

Keywords: feature; lidar slam; feature extraction; based feature ... See more keywords

Efficient and Accurate Tightly-Coupled Visual-Lidar SLAM

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recommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2021.3130089

Abstract: We investigate a novel way to integrate visual SLAM and lidar SLAM. Instead of enhancing visual odometry via lidar depths or using visual odometry as the motion initial guess of lidar odometry, we propose tightly-coupled… read more here.

Keywords: coupled visual; tightly coupled; lidar slam; lidar ... See more keywords