Results 41 to 50 of about 77,468 (232)

Energy Management Strategy Based on V2X Communications and Road Information for a Connected PHEV and Its Evaluation Using an IDHIL Simulator

Applied Sciences, 2023
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

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Reliable Road Scene Interpretation Based on ITOM with the Integrated Fusion of Vehicle and Lane Tracker in Dense Traffic Situation

Sensors, 2020
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, Yook Hyun Yoon, Jahng Hyon Park   +2 more
doaj   +1 more source

F-ROADNET: Late Fusion-Based Automotive Radar Object Detection

IEEE Access, 2023
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, Shahzad Anwar, Ghassan Husnain, Sangsoon Lim   +3 more
doaj   +1 more source

TrafficNet: An Open Naturalistic Driving Scenario Library

, 2017
The enormous efforts spent on collecting naturalistic driving data in the recent years has resulted in an expansion of publicly available traffic datasets, which has the potential to assist the development of the self-driving vehicles.
Guo, Yaohui, Jia, Yunhan Jack, Zhao, Ding   +2 more
core   +1 more source

A Scalable Perovskite Platform With Multi‐State Photoresponsivity for In‐Sensor Saliency Detection

Advanced Materials, EarlyView.
A scalable in‐sensor computing platform (32 × 32 array) with ultra‐low variability is developed by incorporating ferroelectric copolymers into halide perovskite thin films. These devices achieve 1000 programmable photoresponsivity states and high thermal reliability.
Xuechao Xing, Anubhab Tripathi, Si En Ng, Natalia Yantara, Yue Gong, Qinjie Wu, Yeow Boon Tay, Wen Siang Lew, Yang Chai, Arindam Basu, Nripan Mathews   +10 more
wiley   +1 more source

Urban traffic congestion alleviation system based on millimeter wave radar and improved probabilistic neural network

IET Radar, Sonar & Navigation
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, Hua Zhang, Mengxin Du, Anna Wang, Kai Xiong   +4 more
doaj   +1 more source

Device and Algorithm for Vehicle Detection and Traffic Intensity Analysis

Electrical, Control and Communication Engineering, 2021
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, Potapov Andrey, Korneyev Aleksandr, Alps Ivars   +3 more
doaj   +1 more source

Potential benefits of an adaptive forward collision warning system [PDF]

, 2008
Forward collision warning (FCW) systems can reduce rear-end vehicle collisions. However, if the presentation of warnings is perceived as mistimed, trust in the system is diminished and drivers become less likely to respond appropriately.
A. Hamish Jamson, Abe, Brown, de Brabander, Frank C.H. Lai, Hirst, Janssen, Jonah, Lee, Lee, Oliver M.J. Carsten, Rudin-Brown, Rudin-Brown, Seller, van der Laan, Wiese, Zuckerman, Zuckerman   +17 more
core   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
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