Results 41 to 50 of about 3,112 (189)
Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung +9 more
wiley +1 more source
This paper presents a systematic scheme for fusing millimeter wave (MMW) radar and a monocular vision sensor for on-road obstacle detection. As a whole, a three-level fusion strategy based on visual attention mechanism and driver’s visual consciousness ...
Zheng Ma +3 more
doaj +1 more source
F-ROADNET: Late Fusion-Based Automotive Radar Object Detection
Road user categorization is essential for autonomous driving perception. In challenging traffic situations including unfavorable weather (such as fog, snow, and rain) and dim lighting.
Gulbadan Sikander +3 more
doaj +1 more source
Polymer electrolytes (PEs) are often indiscriminately grouped as “solid polymer electrolytes (SPEs)”, despite fundamental differences in their ion‐transport mechanisms. This Perspective establishes a mechanism‐based framework that distinguishes gel, quasi‐solid, and all‐solid polymer electrolytes based on their dominant ion‐transport pathways.
Jing Chen +15 more
wiley +1 more source
Lane detection and tracking in a complex road environment is one of the most important research areas in highly automated driving systems. Studies on lane detection cover a variety of difficulties, such as shadowy situations, dimmed lane painting, and ...
Jinhan Jeong +2 more
doaj +1 more source
A study on a vehicle semi-active suspension control system based on road elevation identification.
A semi-active suspension system can effectively improve vehicle ride comfort and handling stability, and the active detection of road information is key to achieving semi-active suspension.
Zhengcai Yang +3 more
doaj +1 more source
Conventional energy management strategies (EMSs) of hybrid electric vehicles (HEVs) only utilize in-vehicle information, such as an acceleration pedal, velocity, acceleration, engine RPM, state of charge (SOC), and radar.
Seongmin Ha, Hyeongcheol Lee
doaj +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
The millimeter‐wave radar sensor is widely used for urban traffic surveillance because of its weather resistance and high detection accuracy. Methods such as fuzzy theory, pattern recognition, and artificial neural networks have been integrated into the ...
Bo Yang +4 more
doaj +1 more source
Device and Algorithm for Vehicle Detection and Traffic Intensity Analysis
To effectively manage the traffic flow in order to reduce traffic congestion, it is necessary to know the volumes and quantitative indicators of this flow.
Gorobetz Mikhail +3 more
doaj +1 more source

