Results 101 to 110 of about 200,418 (165)

Large-Scale LiDAR SLAM with Factor Graph Optimization on High-Level Geometric Features. [PDF]

Sensors (Basel), 2021
Ćwian K, Nowicki MR, Wietrzykowski J, Skrzypczyński P.   +3 more
europepmc   +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

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, Li, Feiya, Sun, Dongye, Wang, Jianwen, Li, Jian   +4 more
core  

GPS‐Denied LiDAR‐Based SLAM—A Survey

IET Cyber-systems and Robotics
In recent years, significant advancements have been made in enabling intelligent unmanned agents to achieve autonomous navigation and positioning within large‐scale indoor or underground environments.
Haolong Jiang, Yikun Cheng, Weichen Dai, Wenbin Wan, Qinyao Liu, Fanxin Wang   +5 more
doaj   +1 more source

EKF SLAM 2D MENGGUNAKAN LIDAR

, 2017
Agar dapat membantu pekerjaan dalam sistem pembuatan peta pada suatu ruangan yang memiliki tingkat bahaya yang tinggi, dibutuhkan sebuah robot yang dapat mengganti proses pembuatan peta. Sehingga robot tersebut harus memiliki sistem pemetaan 2D yang baik,
Sumantri Kurniawan Risandriya; Politeknik Negeri Batam, Ardian Budi Kusuma Atmaja; Politeknik Negeri Batam, Senanjung Prayoga; Politeknik Negeri Batam   +2 more
core   +1 more source

PSMD-SLAM: Panoptic Segmentation-Aided Multi-Sensor Fusion Simultaneous Localization and Mapping in Dynamic Scenes

Applied Sciences
Multi-sensor fusion is pivotal in augmenting the robustness and precision of simultaneous localization and mapping (SLAM) systems. The LiDAR–visual–inertial approach has been empirically shown to adeptly amalgamate the benefits of these sensors for SLAM ...
Chengqun Song, Bo Zeng, Jun Cheng, Fuxiang Wu, Fusheng Hao   +4 more
doaj   +1 more source

Mapeo LiDAR conformado ponderado para SLAM estructurado

[EN] One of the main challenges in simultaneous localization and mapping (SLAM) is real-time processing. High-computational loads linked to data acquisition and processing complicate this task.
Benavides Cuéllar, María del Carmen, Prieto Fernández, Natalia, Fernández Blanco, Sergio, Fernández Blanco, Álvaro, Benítez Andrades, José Alberto, Carro de Lorenzo, Francisco Julián, Fernández-Blanco, Álvaro, Prieto-Fernández, Natalia, Carro-De-Lorenzo, Francisco, Benavides, Carmen, Fernández-Blanco, Sergio, Benítez-Andrades, José Alberto   +11 more
core   +1 more source

SFC-SLAM: Spatial Feature Change-Aware LiDAR SLAM with adaptive observation modeling and loop-constraint weighting

Spatial Feature Change (SFC) can render local prior map observations outdated in long-term semi-static environments, causing biased scan-to-map associations, drift, and degraded global map consistency in LiDAR Simultaneous Localization and Mapping (LiDAR
He Wang, Xiaoyi Zhang, Fang Liu, Changpeng Shen, Chengyu Wang, Weixing Su, Jierui Li   +6 more
core   +1 more source

Versatile and accurate LiDAR-inertial SLAM with efficient LiDAR bundle adjustment

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  

Pole-Like Object Extraction and Pole-Aided GNSS/IMU/LiDAR-SLAM System in Urban Area. [PDF]

Sensors (Basel), 2020
Liu T, Chang L, Niu X, Liu J.
europepmc   +1 more source