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document
Hou, F. (author), Wang, W. (author), Lin, Tingyu (author), Cao, Liqiang (author), Zhang, G.Q. (author), Ferreira, J.A. (author)
In this paper, a novel fan-out panel-level printed circuit board (PCB) embedded package technology for silicon carbide (SiC) MOSFET power module is presented to address parasitic inductances, heat dissipation, and reliability issues that are inherent with aluminum wires used in conventional packaging scheme. To withstand high temperature...
journal article 2019
document
Lin, Q. (author), Zhang, Yihuan (author), Verwer, S.E. (author), Wang, Jun (author)
This paper proposes a novel hybrid model for learning discrete and continuous dynamics of car-following behaviors. Multiple modes representing driving patterns are identified by partitioning the model into groups of states. The model is visualizable and interpretable for car-following behavior recognition, traffic simulation, and human-like...
journal article 2019
document
Zhang, Yihuan (author), Lin, Q. (author), Wang, Jun (author), Verwer, S.E. (author), Dolan, John M. (author)
Car-following is the most general behavior in highway driving. It is crucial to recognize the cut-in intention of vehicles from an adjacent lane for safe and cooperative driving. In this paper, a method of behavior estimation is proposed to recognize and predict the lane change intentions based on the contextual traffic information. A model...
journal article 2018
document
Zhang, Yihuan (author), Lin, Q. (author), Wang, Jun (author), Verwer, S.E. (author)
Learning driving behavior is fundamental for autonomous vehicles to “understand” traffic situations. This paper proposes a novel method for learning a behavioral model of car-following using automata learning algorithms. The model is interpretable for car-following behavior analysis. Frequent common state sequences are extracted from the model...
conference paper 2017
document
Wang, Haifeng (author), Lin, Jian (author), Zhang, Dawei (author), Wang, Yang (author), Gu, Min (author), Urbach, Paul (author), Gan, Fuxi (author), Zhuang, Songlin (author)
We present a concealing method in which an anti-point spread function (APSF) is generated using binary optics, which produces a large-scale dark area in the focal region that can hide any object located within it. This result is achieved by generating two identical PSFs of opposite signs, one consisting of positive electromagnetic waves from...
journal article 2016
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