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Alberto Sangiovanni-Vincentelli

Researcher at University of California, Berkeley

Publications -  946
Citations -  47259

Alberto Sangiovanni-Vincentelli is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Logic synthesis & Finite-state machine. The author has an hindex of 99, co-authored 934 publications receiving 45201 citations. Previous affiliations of Alberto Sangiovanni-Vincentelli include National University of Singapore & Lawrence Berkeley National Laboratory.

Papers
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Proceedings ArticleDOI

Physical architectures of automotive systems

TL;DR: The design of innovative chip architectures, new upcoming standards for high-bandwidth and deterministic communication (FlexRay) and sensors are the domains of interest, with emphasis on reliability and support for advanced active safety functions.
Posted Content

Augmenting Monte Carlo Dropout Classification Models with Unsupervised Learning Tasks for Detecting and Diagnosing Out-of-Distribution Faults.

TL;DR: The proposed novel approach of augmenting the classification model with an additional unsupervised learning task leads to improved fault detection and diagnosis performance, especially on out-of-distribution examples including both incipient and unknown faults.
Journal ArticleDOI

Pleasure: a computer program for simple/multiple constrained/unconstrained folding of programmable logic arrays

TL;DR: A new computer program, PLEASURE, is presented, which implements several algorithms for multiple and/or constrained PLA folding and a constrained optimization problem to achieve minimal silicon area occupation with constrained positions of electrical inputs and outputs is defined.
Book ChapterDOI

Nonlinear Circuit Simulation in the Frequency-Domain

TL;DR: Frequency-domain simulation eliminates problems from distributed components and high-Q circuits by forgoing a nonlinear differential equation representation of the circuit in favor of a complex algebraic representation.
Journal ArticleDOI

AVDM: A hierarchical command-and-control system architecture for cooperative autonomous vehicles in highways scenario using microscopic simulations

TL;DR: In this paper, a hierarchical AV behaviour model is proposed for the holistic evaluation of autonomous and mixed traffic by unifying a wide spectrum of AV functionality, including long-term planning, path planning, complex platooning manoeuvres, and low-level longitudinal and lateral control.