Results 211 to 220 of about 200,823 (294)
Alaska Arctic Highways LiDAR dataset for advanced infrastructure modeling. [PDF]
Greene T +5 more
europepmc +1 more source
Non-Line-of-Sight Perception Method for Autonomous Haul Trucks in Open-Pit Mines Based on 4D mmWave Radar and LiDAR Fusion. [PDF]
Yang J, Zhang Y, Zheng Z, Zhang Y.
europepmc +1 more source
VDNeRF: Vision‐Only Dynamic Neural Radiance Field for Urban Scenes
ABSTRACT Neural radiance fields (NeRFs) implicitly model continuous three‐dimensional scenes using a set of images with known camera poses, enabling the rendering of photorealistic novel views. However, existing NeRF‐based methods encounter challenges in applications such as autonomous driving and robotic perception, primarily due to the difficulty of ...
Zhengyu Zou +7 more
wiley +1 more source
Traffic monitoring research based on roadside LiDAR-camera target-free wide-area collaborative calibration. [PDF]
Shi S.
europepmc +1 more source
Geo2DGS‐SLAM: Geometry‐Driven SLAM With 2D Gaussian Splatting
ABSTRACT Recent advances in SLAM systems based on 3D Gaussian Splatting have enabled dense and photorealistic scene reconstruction. However, 3DGS‐based methods still suffer from limited geometric awareness due to the lack of normal rendering support, view inconsistency and weak depth constraints, ultimately hindering high‐fidelity geometric ...
Weiqing Yan +4 more
wiley +1 more source
Multi-Sensor Fusion SLAM Based on LiDAR, IMU and GPS for Structured Urban Scenes. [PDF]
Lu J, Shen Y, Wang X, Ke F.
europepmc +1 more source
ABSTRACT Heavy construction machinery is essential for power infrastructure construction and maintenance, making safety distance measurement crucial for ensuring operational safety. Existing methods, which rely on target space mapping, face challenges such as error accumulation and limited accuracy.
Fuqi Ma +4 more
wiley +1 more source
Multi-Sensor Geometric Documentation of Cultural Heritage at Risk Across Inland, Coastal and Shallow-Water Environments. [PDF]
Verykokou S +22 more
europepmc +1 more source
RETRACTION: R. C. Blackburn, R. Buscaglia, A. J. Sánchez Meador, M. M. Moore, T. Sankey, and S. E. Sesnie, “Eigenfeature‐Enhanced Deep Learning: Advancing Tree Species Classification in Mixed Conifer Forests with Lidar,” Remote Sensing in Ecology and Conservation 11, no. 6 (2025): 670‐685, https://doi.org/10.1002/rse2.70014.
wiley +1 more source
ABSTRACT This paper presents a comprehensive review of live‐line work on high‐voltage transmission overhead lines, with a focus on insulation performance, air‐gap breakdown and discharge physics under realistic operating conditions. This review primarily covers journal publications from approximately 2014 to 2026, with emphasis on recent developments ...
Mona Ghassemi, Masoud Farzaneh
wiley +1 more source

