Results 141 to 150 of about 3,061 (275)
Speckle Skin‐Based Multimodal Tactile Perception for Fine Robotic Manipulation
SpeckleTac, a miniature vision‐based tactile sensor, utilizes a speckle‐pattern skin and optical flow‐based scalable virtual marker tracking. Combined with advanced algorithms, it achieves high‐resolution 3D surface reconstruction, precise contact perception, and stable grasping capabilities.
Jiayuan Zhang +6 more
wiley +1 more source
Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison +4 more
wiley +1 more source
Geometry Compression of 3D Static Point Clouds based on TSPLVQ
International audienceIn this paper, we address the challenging problem of the 3D point cloud compression required to ensure efficient transmission and storage.
Normand, Nicolas +2 more
core
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 +5 more
wiley +1 more source
An embodied codesign framework for smart footwear is presented, jointly tuning lattice mechanics and sensing for personalized plantar pressure monitoring. By integrating pneumatic sensing within 3D‐printed lattice soles, the system achieves accurate real‐time centre‐of‐pressure tracking with reduced sensor count and energy demand, demonstrating how ...
Fengyu Zhong +3 more
wiley +1 more source
End-to-end learned Lossy Dynamic Point Cloud Attribute Compression
Recent advancements in point cloud compression have primarily emphasized geometry compression while comparatively fewer efforts have been dedicated to attribute compression.
Zieger, Daniel +3 more
core
OctMamba: Mamba-based octree context entropy model for point cloud geometry compression
Existing learned point cloud compression frameworks face two major limitations: (1) they focus almost exclusively on spatial redundancy and (2) rely on architectures built around local-global transformers or global Mamba blocks.
Tam, Gary K. L. +5 more
core +1 more source
Application of Information Theory to Computer Vision and Image Processing II. [PDF]
Flores-Fuentes W +3 more
europepmc +1 more source
LDG-PCGC: Lossless Dynamically Grouped Point Cloud Geometry Compression
International audiencePoint clouds are an essential representation of 3D scenes and objects, but their growing data volume poses significant challenges for storage and transmission, highlighting the need for efficient and practical compression techniques.
Chen, Shoukun +5 more
core
A High-Precision Method for Extracting Lateral Deformation in Operational Shield Tunnels Based on LiDAR Point Cloud Analysis. [PDF]
Tang S, Xu X.
europepmc +1 more source

