Results 51 to 60 of about 7,194 (247)

Ego-Vehicle Speed Correction for Automotive Radar Systems Using Convolutional Neural Networks

Sensors
The development of autonomous driving vehicles has increased the global demand for robust and efficient automotive radar systems. This study proposes an automotive radar-based ego-vehicle speed detection network (AVSD Net) model using convolutional ...
Sunghoon Moon, Daehyun Kim, Younglok Kim
doaj   +1 more source

Investigation of conduction to keyhole mode transition [PDF]

, 2012
There are two very distinct welding modes in laser welding, keyhole and conduction mode. The characteristics of keyhole laser welding; mainly high penetration, high productivity and high aspect ratio have led the industry to focus more on this mode.
Goncalves Assuncao E, Goncalves Assuncao, Eurico   +1 more
core  

Reversible Electron-Beam Patterning of Colloidal Nanoparticles at Fluid Interfaces [PDF]

The directed self-assembly of colloidal nanoparticles (NPs) using external fields guides the formation of sophisticated hierarchical materials but becomes less effective with decreasing particle size.
Raybin, Jonathan G, Ginsberg, Naomi S, Guo, Veronica, Dunsworth, Ethan J   +3 more
core   +1 more source

In Situ Micromechanical Study of Bimodal γ′–γ″ Precipitate Assemblies in Ni–Cr–Al–Nb Superalloy

Advanced Engineering Materials, EarlyView.
A Ni–Cr–Al–Nb superalloy with a bimodal γ′–γ″ precipitate distribution is developed. Composite precipitate assemblies form through heterogeneous nucleation, effectively impeding dislocation motion. Micropillar compression reveals high strength at room and elevated temperatures, governed by precipitate shearing, with coupled faulting mechanisms ...
Ujjval Bansal, Tae‐Hyeok Kang, Pyuck‐Pa Choi, Subin Lee, Christoph Kirchlechner   +4 more
wiley   +1 more source

Adaptive and Fast Combined Waveform-Beamforming Design for mmWave Automotive Joint Communication-Radar

, 2020
Millimeter-wave (mmWave) joint communication-radar (JCR) will enable high data rate communication and high-resolution radar sensing for applications such as autonomous driving.
Kumari, Preeti, Heath Jr, Robert W., Myers, Nitin Jonathan   +2 more
core   +3 more sources

An Experimental High‐Throughput Approach for the Screening of Hard Magnet Materials

Advanced Engineering Materials, EarlyView.
An entire workflow for the high‐throughput characterization and analysis of compositionally graded magnetic films is presented. Characterization protocols, data management tools and data analysis approaches are illustrated with test case Sm(Fe, V)12 based films.
William Rigaut, Pierre Le Berre, Hamdi Jaballah, Lukas Fink, Victor Poline, Richard Haettel, Stéphane Grenier, Gilbert Chahine, Ewen Bellec, Guillaume Buatier, Wilfried Hortschitz, Santa Pile, Thomas Schrefl, Nils Blanc, Yuan Hong, Thibaut Devillers, Nora M. Dempsey   +16 more
wiley   +1 more source

Research on load-bearing characteristics and adaptive support mechanism of intelligent solid backfilling support robot for coalmines

Meitan kexue jishu
In order to meet the demand for improving the productivity and efficiency of solid backfilling mining technology and achieve the autonomous and efficient operation of backfilling support robots in intelligent filling working faces.
Tingcheng ZONG, Qiang ZHANG, Kang YANG, Zishan JIN, Guoping MA, Baojie YIN   +5 more
doaj   +1 more source

Adaptive driving beam - new concept of vehicle front - lighting

, 2010
Vehicle front-lighting is essential for road traffic sofety during night-time. It is a subject of continuous changes following the progress in technology.
Targosiński, T.
core  

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Deep Learning Model Regression Based Object Detection for Adaptive Driving Beam Headlights [PDF]

As the world move toward automated driving (AD) continues, the future of adaptive driving beam headlights (ADB), is quickly coming into focus. Engineers, developers and designers are researching hard to identify the most effective combination of ...
Wicramasinghe, Shammika, Somasiri, Nalinda, Ganesan, Swathi   +2 more
core