Results 71 to 80 of about 2,554 (252)

A hardware and software framework for automotive intelligent lighting

2009 IEEE Intelligent Vehicles Symposium, 2009
This paper describes the lately completed hardware and software framework in the field of automotive intelligent lighting. Furthermore a brief overview of currently announced concepts within this focus as well as a deducted tendency will be given.
Hoerter, M. H., Stiller, Chr., Koelen, Chr.   +2 more
openaire   +3 more sources

Flexoelectricity in Photoconversion: Fundamentals, Materials, and Outlooks

Advanced Science, EarlyView.
Mechanical bending of a flexible cantilever induces a strain gradient in the photoactive material. The resulting flexoelectric field couples with photovoltaic and photoconductive effects, modulating charge generation, separation, and collection. A comparative analysis of oxide perovskites, halide perovskites, and two‐dimensional materials is presented,
Xiang Huang, Feng Li, Rongkun Zheng
wiley   +1 more source

Efficient Direct Recycling of Spent Batteries: Integrated Lithiation and Delamination

Advanced Science, EarlyView.
An integrated process for the delamination and relithiation of spent cathodes, LixNi0.6Co0.2Mn0.2O2 and LixFePO4, under open‐air conditions is proposed. The transition‐metal (Ni) oxidation state in the cathode is reduced by the oxidation of diethylene glycol, facilitating relithiation. Glycol aldehyde formation induces 100% electrode delamination.
Jeonghwan Song, Seok Hyun Song, Dokyeong Han, Jaehyun Noh, Jayoung Kim, Min Jeong Kim, Hayong Song, Jeong‐Sun Park, Jaekook Kim, Jiyoung Ma, Jinju Song, Jung‐Je Woo   +11 more
wiley   +1 more source

Experimental Demonstration of Temporally Aware Fault‐Tolerant Sensor Fusion Using Memristive Associative Learning

Advanced Electronic Materials, EarlyView.
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj, Ashfak Nehal, Dmitrii Semenov, Roman Sotner, Sayani Majumdar   +4 more
wiley   +1 more source

Safety of Sodium‐Ion Batteries: Evaluation and Perspective from Component Materials to Cells, Modules, and Packs

Advanced Energy Materials, EarlyView.
This review provides a bottom‐up evaluation of sodium‐ion battery safety, linking material degradation mechanisms, cell engineering parameters, and module/pack assembly. It emphasizes that understanding intrinsic material stability and establishing coordinated engineering control across hierarchical levels are vital for preventing degradation coupling ...
Won‐Gwang Lim, Seoa Kim, Erik A. Wu, Darren H. S. Tan, Shawn Peng, Xiaolin Li   +5 more
wiley   +1 more source

A Group Approach of Smart Hybrid Poles with Renewable Energy, Street Lighting and EV Charging Based on DC Micro-Grid

Energies, 2018
Energy crisis and environmental pollution have become global problems, and the increasing use of energy has caused climate change. Electric vehicle (EV) is regarded as the future of the automotive industry, because of the lesser impact on the environment
Jiawei Yao, Yongming Zhang, Zhe Yan, Li Li   +3 more
doaj   +1 more source

Automation of Surgical Workflow Recognition: Unveiling the Surgical Instrument Kinematics that Underly Robot‐Assisted Prostatectomy Procedures

Advanced Intelligent Discovery, EarlyView.
Automated procedural analysis is recognized as one of the major game changers for robotic surgery. Meaning digital analysis needs to replace the manual assessments that set todays standard. Mechanical robotic‐instrument tracking enables the derivation of quantitative kinematic metrics that support behavior‐based workflow segmentation into distinct ...
Kateryna Pirkovets, Matthias N. van Oosterom, Vera A. Ottens, Henk G. van der Poel, Fijs W. B. van Leeuwen   +4 more
wiley   +1 more source

Author Correction: Fabrication of phosphor in glass using waste glass for automotive lighting application. [PDF]

Sci Rep, 2023
Choi SH, Kwon SB, Yoo JH, Na M, Kim BY, Yoon H, Park SH, Kinski I, Kang BK, Yoon DH, Song YH.   +10 more
europepmc   +1 more source

Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning

Advanced Intelligent Systems, EarlyView.
A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang, Zichao Wang, Zhiwei He, Qingquan Wei, Yong Zuo, Linzhen Nie, Zhishuai Yin   +6 more
wiley   +1 more source

Data-Driven Headlight Flare Model for Automotive Cameras

IEEE Open Journal of Vehicular Technology
Automotive cameras are cost effective among perception sensors and have been widely deployed on cars, however the measurements generated by cameras can be affected by various noise factors.
Boda Li, Hetian Wang, Yiting Wang, Pak Hung Chan, Darryl Perks, Valentina Donzella   +5 more
doaj   +1 more source