Results 71 to 80 of about 3,061 (275)
A Double Deep Learning-Based Solution for Efficient Event Data Coding and Classification
IEEE AccessEvent cameras have the ability to capture asynchronous per-pixel brightness changes, usually called “events”, offering advantages over traditional frame-based cameras for computer vision tasks.
Abdelrahman Seleem +3 more
doaj +1 more source
Deep AutoEncoder-based Lossy Geometry Compression for Point Clouds
CoRR, 2019 Point cloud is a fundamental 3D representation which is widely used in real world applications such as autonomous driving. As a newly-developed media format which is characterized by complexity and irregularity, point cloud creates a need for compression algorithms which are more flexible than existing codecs.
Wei Yan +5 more
openaire +2 more sources
Model-based encoding parameter optimization for 3D point cloud compression [PDF]
, 2018 Rate-distortion optimal 3D point cloud compression is very challenging due to the irregular structure of 3D point clouds. For a popular 3D point cloud codec that uses octrees for geometry compression and JPEG for color compression, we first find ...
Liu, Hao +9 more
core +1 more source
Advanced Robotics Research, EarlyView.This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi +2 more
wiley +1 more source
Reconstruction of industrial piping installations from laser point clouds using profiling techniques
, 2009 Includes abstract.Includes bibliographical references (leaves 143-152).As-built models of industrial piping installations are essential for planning applications in industry. Laser scanning has emerged as the preferred data acquisition method of as built
Mapurisa, Willard T
core
Scalable Graph-Guided Transformer for Point Cloud Geometry Coding
Attention models, particularly Transformers, have significantly advanced deep learning in fields like natural language processing and computer vision by capturing contextual relationships in both sequential and spatial data.
Guarda, André F. R. +3 more
core +1 more source
LLM‐Integrated Human–Robot Interaction System for Microrobots
Advanced Robotics Research, EarlyView.This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source
Aggressive saliency-aware point cloud compression
, 2023 The increasing demand for accurate representations of 3D scenes, combined with immersive technologies has led point clouds to extensive popularity.
Psatha, Eleftheria +3 more
core
Advanced Robotics Research, EarlyView.This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
, 2019 International audienceIn recent years, 3D point clouds have enjoyed a great popularity for representing both static and dynamic 3D objects. When compared to 3D meshes, they offer the advantage of providing a simpler, denser and more close-to-reality ...
Marius Preda +5 more
core +1 more source