Results 81 to 90 of about 7,018 (281)

PASeg: positional-guided segmenter with multimodal semantic alignment for enhancing urban scene 3D semantic segmentation

International Journal of Digital Earth
The application of LiDAR point cloud for urban environment analysis has become a critical approach in urban scene understanding. Concurrently, substantial progress has been made in 3D point cloud semantic segmentation, advancing the precision and ...
Yang Luo, Ting Han, Xiaorong Zhang, Yujun Liu, Duxin Zhu, Jinyuan Li, Yiping Chen, Yundong Wu, Guorong Cai, Yingchao Piao, Jinhe Su   +10 more
doaj   +1 more source

Annotation Tool and Urban Dataset for 3D Point Cloud Semantic Segmentation [PDF]

, 2021
Accurate semantic segmentation of unstructured 3D point clouds requires large amount of annotated training data for deep learning. However, there is currently no free specialized software available that can efficiently annotate large 3D point clouds.
Ajmal Mian, Michael Wise, Naveed Akhtar, Muhammad Ibrahim   +3 more
core   +1 more source

Lidar‐Based Object Tracking of Traffic Participants with Sensor Nodes in Existing Urban Infrastructure

Advanced Intelligent Systems, EarlyView.
This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer, Bassam Alrifaee, Ehsan Hashemi   +2 more
wiley   +1 more source

Talk to Your Data: An Agentic Artificial Intelligence‐Driven Decision‐Support Framework for Prosumer Energy Optimization and Recommendations

Advanced Intelligent Systems, EarlyView.
An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley   +1 more source

Enhanced Monocular Depth Estimation Using ResNet Backbone and Multiscale Feature Decoding for Precise Object Distance Measurement

Advanced Intelligent Systems, EarlyView.
A lightweight monocular perception framework generates high‐fidelity depth maps and integrates YOLOv8 detection to estimate object‐wise distances from a single RGB image. Evaluated on KITTI and the proposed D‐Far250 dataset, the system demonstrates accurate long‐range perception up to 250 m while maintaining real‐time performance, enabling scalable ...
Faseeh Muhammad, Misbah Bibi, Murad Ali Khan, Syed Shehryar Ali Naqvi, Adnan Ejaz Muhammad, Do-Hyeun Kim   +5 more
wiley   +1 more source

A Graph Aggregation Convolution and Attention Mechanism Based Semantic Segmentation Method for Sparse Lidar Point Cloud Data

IEEE Access
In recent years, following the development of sensor and computer techniques, it is favored by many fields, i.e. automatic drive, intelligent home, etc., which the deep learning based semantic segmentation method for point cloud data collected by LiDAR ...
Tong Zheng, Jialun Chen, Wenbin Feng, Chongchong Yu   +3 more
doaj   +1 more source

From 2D image segmentation to 3D point cloud segmentation for large-scale outdoor scene understanding [PDF]

Semantic image segmentation (SiS) and point cloud segmentation (PCS) aim to separate an image and a point cloud into coherent and meaningful parts, respectively. Both tasks play an important role in robotics and autonomous driving vehicles.
Chen, Bike
core   +1 more source

Sample Consensus Fitting of Bivariate Polynomials for Initializing EM-based Modeling of Smooth 3D Surfaces [PDF]

, 2013
This paper presents a method for finding the largest, connected, smooth surface in noisy depth images. The formulation of the fitting in a Sample Consensus way allows the use of RANSAC (or any other similar estimator), and makes the method tolerant ...
Michael Suppa, Nissler, Christian, Zoltan-Csaba Marton, Suppa, Michael, Marton, Zoltan Csaba, Christian Nissler   +5 more
core   +1 more source

Vernacular Futurism: How Persian Language Users Imagine AI

AI &Innovation, EarlyView.
ABSTRACT Public discourse about artificial intelligence increasingly unfolds through compressed forecasts, moral warnings, and everyday speculation circulating at platform speed. This study examines how Persian language users on X construct and contest AI futures, analyzing a corpus of 4741 posts collected between January 2023 and December 2025, with ...
Arthur Asa Berger, Ehsan Shahghasemi
wiley   +1 more source

Coherence‐Gated Wrapped‐Phase InSAR With Matrix‐Based Uncertainty Diagnostics for Burial‐Mound Hotspot Ranking (Sicily, Italy)

Archaeological Prospection, EarlyView.
ABSTRACT Burial mounds are key elements of Mediterranean funerary landscapes, but in intensively cultivated coastal plains their low‐relief expression is easily obscured by ploughing, levelling and rapidly changing surface conditions, making single‐date observations unreliable.
Salvatore Polverino, Hourakhsh Ahmadnia, Rokhsaneh Rahbarianyazd Ahmadnia   +2 more
wiley   +1 more source