Results 261 to 270 of about 66,733 (278)

Semantic Visual Simultaneous Localization and Mapping: A Survey

IEEE transactions on intelligent transportation systems (Print), 2022
Visual Simultaneous Localization and Mapping (vSLAM) is a cornerstone technology in computer vision and robotics, underpinning applications such as autonomous vehicles and robot navigation.
Kaiqi Chen, Junhao Xiao, Jialing Liu, Qiyi Tong, Heng Zhang, Ruyu Liu, Jianhua Zhang, A. Ajoudani, Sheng-Yong Chen   +8 more
semanticscholar   +1 more source

Robust Visual-Lidar Simultaneous Localization and Mapping System for UAV

IEEE Geoscience and Remote Sensing Letters, 2022
Obtaining 3-D data by LIDAR from unmanned aerial vehicles (UAVs) is vital for the field of remote sensing; however, the highly dynamic movement of UAVs and narrow viewpoint of LIDAR pose a great challenge to the self-localization for UAVs based on solely
Jie Qian, Kaiqi Chen, Qinying Chen, Yan-Hong Yang, Jianhua Zhang, Sheng-Yong Chen   +5 more
semanticscholar   +1 more source

Visual-Inertial Simultaneous Localization and Mapping: Dynamically Fused Point-Line Feature Extraction and Engineered Robotic Applications

IEEE Transactions on Instrumentation and Measurement, 2022
For robots in unknown environments, the visual-inertial simultaneous localization and mapping (SLAM) incorporates the multisensor data and enables a globally consistent trajectory tracking and mapping.
Lin-Lin Xia, Deang Meng, Jingjing Zhang, Daochang Zhang, Zhi-Qi Hu   +4 more
semanticscholar   +1 more source

SP-SLAM: Surfel-Point Simultaneous Localization and Mapping

IEEE/ASME transactions on mechatronics, 2022
In this article, a novel method for simultaneous localization and mapping (SLAM) named surface elements (surfel) point SLAM (SP-SLAM) is proposed using an RGB-D camera.
H. Cho, HyungGi Jo, Euntai Kim
semanticscholar   +1 more source

iMESA: Incremental Distributed Optimization for Collaborative Simultaneous Localization and Mapping

Robotics: Science and Systems Conference
This paper introduces a novel incremental distributed back-end algorithm for Collaborative Simultaneous Localization and Mapping (C-SLAM). For real-world deployments, robotic teams require algorithms to compute a consistent state estimate accurately ...
Daniel McGann, Michael Kaess
semanticscholar   +1 more source

FastSLAM: a factored solution to the simultaneous localization and mapping problem

AAAI/IAAI, 2002
Michael Montemerlo, S. Thrun, D. Koller, B. Wegbreit   +3 more
semanticscholar   +1 more source

Edge-SLAM: Edge-Assisted Visual Simultaneous Localization and Mapping

Transactions on Embedded Computing Systems, 2023
Ali Ben Ali, Karthik Dantu, Zakieh Sadat Hashemifar   +2 more
exaly  

A geometric nonlinear stochastic filter for simultaneous localization and mapping

Aerospace Science and Technology, 2021
Hashim A. Hashim
exaly  

Crack assessment using multi-sensor fusion simultaneous localization and mapping (SLAM) and image super-resolution for bridge inspection

Automation in Construction, 2023
Chu-Qiao Feng, Bao Li, Yu-Fei Liu, Fu-Xiang Zhang, Yan Yue, Jian-Sheng Fan   +5 more
semanticscholar   +1 more source

DenseSLAM: Simultaneous Localization and Dense Mapping

International Journal of Robotics Research, 2006
Eduardo Nebot, By Dr Jose Guivant
exaly