Results 81 to 90 of about 15,287 (197)

Formation process of the gravel‐dominated deposit from the 2011 Tohoku‐oki tsunami in Ofunato, northeastern Japan, inferred by integrating sedimentology and tsunami modelling

Sedimentology, EarlyView.
ABSTRACT Tsunami deposits serve as geological records of past events and are essential for understanding the occurrence and dynamics of tsunamis. However, conventional research has largely focused on sandy and boulder deposits, leaving gravel‐dominated tsunami deposits comparatively underexplored; furthermore, their characteristics and formation ...
Hidetoshi Masuda, Haruki Imura, Koki Nakata, Takashi Ishizawa, Daisuke Sugawara, Kazuhisa Goto   +5 more
wiley   +1 more source

SERail-SLAM: Semantic-Enhanced Railway LiDAR SLAM

Machines
Reliable state estimation in railway environments presents significant challenges due to geometric degeneracy resulting from repetitive structural layouts and point cloud sparsity caused by high-speed motion. Conventional LiDAR-based SLAM systems frequently suffer from longitudinal drift and mapping artifacts when operating in such feature-scarce and ...
Weiwei Song, Shiqi Zheng, Xinye Dai, Xiao Wang, Yusheng Wang, Zihao Wang, Shujie Zhou, Wenlei Liu, Yidong Lou   +8 more
openaire   +1 more source

DCL-SLAM: A Distributed Collaborative LiDAR SLAM Framework for a Robotic Swarm

IEEE Sensors Journal
To execute collaborative tasks in unknown environments, a robotic swarm needs to establish a global reference frame and locate itself in a shared understanding of the environment. However, it faces many challenges in real-world scenarios, such as the prior information about the environment being absent and poor communication among the team members ...
Shipeng Zhong, Yuhua Qi, Zhiqiang Chen, Jin Wu, Hongbo Chen, Ming Liu   +5 more
openaire   +3 more sources

Visual-LiDAR Localization and Tree Map Building for Autonomous Robot in Unstructured Forests

IEEE Access
This study proposes a Visual-LiDAR (VL) localization and tree trunk mapping method for an autonomous robot in unstructured forests. In unstructured outdoor environments such as forests and orchards, the GPS signal is often unreliable and occluded by ...
Kwanwoo Park, Soon-Yong Park
doaj   +1 more source

Benchmarking Particle Filter Algorithms for Efficient Velodyne-Based Vehicle Localization [PDF]

, 2019
Keeping a vehicle well-localized within a prebuilt-map is at the core of any autonomous vehicle navigation system. In this work, we show that both standard SIR sampling and rejection-based optimal sampling are suitable for efficient (10 to 20 ms) real ...
Blanco Claraco, José Luis, Giménez Fernández, Antonio, Mañas Alvarez, Francisco, Rodríguez Díaz, Francisco, Torres Moreno, José Luis   +4 more
core   +3 more sources

LocNet: Global localization in 3D point clouds for mobile vehicles

, 2018
Global localization in 3D point clouds is a challenging problem of estimating the pose of vehicles without any prior knowledge. In this paper, a solution to this problem is presented by achieving place recognition and metric pose estimation in the global
Ding, Xiaqing, Tang, Li, Wang, Yue, Xiong, Rong, Yin, Huan   +4 more
core   +1 more source

CONCERT: A Modular Reconfigurable Robot for Construction

Journal of Field Robotics, Volume 43, Issue 3, Page 1332-1362, May 2026.
ABSTRACT This paper presents CONCERT, a fully reconfigurable modular collaborative robot (cobot) for multiple on‐site operations in a construction site. CONCERT has been designed to support human activities in construction sites by leveraging two main characteristics: high‐power density motors and modularity. In this way, the robot is able to perform a
Luca Rossini, Edoardo Romiti, Arturo Laurenzi, Francesco Ruscelli, Marco Ruzzon, Luca Covizzi, Lorenzo Baccelliere, Stefano Carrozzo, Michael Terzer, Marco Magri, Carlo Morganti, Maolin Lei, Liana Bertoni, Diego Vedelago, Corrado Burchielli, Stefano Cordasco, Luca Muratore, Andrea Giusti, Nikos Tsagarakis   +18 more
wiley   +1 more source

Voxel-SLAM: A Complete, Accurate, and Versatile LiDAR-Inertial SLAM System

CoRR
In this work, we present Voxel-SLAM: a complete, accurate, and versatile LiDAR-inertial SLAM system that fully utilizes short-term, mid-term, long-term, and multi-map data associations to achieve real-time estimation and high precision mapping. The system consists of five modules: initialization, odometry, local mapping, loop closure, and global ...
Zheng Liu 0019, Haotian Li, Chongjian Yuan, Xiyuan Liu, Jiarong Lin, Rundong Li, Chunran Zheng, Bingyang Zhou, Wenyi Liu, Fu Zhang 0002   +9 more
openaire   +2 more sources

A Review of Simultaneous Localization and Mapping for the Robotic-Based Nondestructive Evaluation of Infrastructures

Sensors
The maturity of simultaneous localization and mapping (SLAM) methods has now reached a significant level that motivates in-depth and problem-specific reviews.
Ali Ghadimzadeh Alamdari, Farzad Azizi Zade, Arvin Ebrahimkhanlou   +2 more
doaj   +1 more source

Real‐Time Terrain Traversability Analysis and Mapping for Autonomous Robotics in Dynamic Environments: Fusing Appearance‐ and Geometry‐Based Approaches

Journal of Field Robotics, Volume 43, Issue 3, Page 1719-1738, May 2026.
ABSTRACT This paper presents advanced methodologies for real‐time terrain analysis and mapping in autonomous robotic systems. The focus is on appearance‐based terrain traversability analysis and geometric‐based terrain traceability analysis. In the appearance‐based approach, an enhanced segmentation model using pixel‐based augmentation and 13 unique ...
Semih Beycimen, Dmitry Ignatyev, Argyrios Zolotas   +2 more
wiley   +1 more source