Results 151 to 160 of about 200,418 (165)

Visual-LiDAR SLAM Based on Unsupervised Multi-Channel Deep Neural Networks [PDF]

Cognitive Computation, 2022
Recently, deep learning techniques have been applied to solve visual or light detection and ranging (LiDAR) simultaneous localization and mapping (SLAM) problems.
Qiang Liu, Dongbing Gu, Yi An
exaly   +2 more sources

ROLO-SLAM: Rotation-Optimized LiDAR-Only SLAM in Uneven Terrain With Ground Vehicle [PDF]

Journal of Field Robotics
LiDAR-based SLAM is recognized as one effective method to offer localization guidance in rough environments. However, off-the-shelf LiDAR-based SLAM methods suffer from significant pose estimation drifts, particularly components relevant to the vertical ...
Chaoqun Wang, Max Q -H Meng, Yinchuan Wang   +2 more
exaly   +2 more sources

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Efficient and Accurate Tightly-Coupled Visual-Lidar SLAM

IEEE Transactions on Intelligent Transportation Systems, 2022
Chih-Chung Chou, Cheng-Fu Chou
exaly  

A Comparative Analysis of LiDAR SLAM-Based Indoor Navigation for Autonomous Vehicles

IEEE Transactions on Intelligent Transportation Systems, 2022
Qin Zou, Long Chen, Qingquan Li
exaly  

Exploration-Based SLAM (e-SLAM) for the Indoor Mobile Robot Using Lidar

Sensors, 2022
Rohit Roy, Hasan Ismail, Li-Chuan Tang
exaly  

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

IEEE Sensors Journal, 2021
Qi Wu, Li Tao, Wenxian Yu
exaly  

A Comparative Survey of LiDAR-SLAM and LiDAR Based Sensor Technologies

2021
Syed Azhar Ali Zaidi, Ayesha Farman
exaly  

The New Method of Active SLAM for Mapping Using LiDAR

Electronics, 2022
Peter Peniak, Michal Mihálik
exaly  

LiDAR SLAM With a Wheel Encoder in a Featureless Tunnel Environment

Electronics, 2023
Juhyun Pyo, Hangil Joe, Meungsuk Lee
exaly  

Review on LiDAR-Based SLAM Techniques

2021
exaly