Concept

Adaptation intelligente de la vitesse

Publications associées (67)

Semantic Interoperability and Open IoT APIs for Smart Cities Applications

As the percentage of the total population living in urban regions is increasing, new challenges for the cities of the future arise. Smart Cities emerged as a solution to these challenges building on the strength of intelligent information, communication te ...

SPRINGER-VERLAG BERLIN2018

Cooperative Perception Algorithms for Networked Intelligent Vehicles

Milos Vasic

The degree of intelligence built-in in today's vehicles in constantly on the rise. The vehicles are being equipped with sensors, with the goal to estimate the state of the vehicle and the environment surrounding it. Intelligent algorithms that process the ...

EPFL2017

Detecting EEG correlates during preparation of complex driving maneuvers

Lucian Andrei Gheorghe

The main focus of this research is the development of real-time recording and analysis devices and algorithms for detecting Electroencephalography (EEG) correlates of steering actions. First, offline analysis where performed in a high fidelity driving simu ...

EPFL2017

An Overtaking Decision Algorithm for Networked Intelligent Vehicles Based on Cooperative Perception

Alcherio Martinoli, Milos Vasic, Inaki Navarro Oiza, Gael Lederrey

This paper presents an overtaking decision algorithm for networked intelligent vehicles. The algorithm is based on a cooperative tracking and sensor fusion algorithm that we previously developed. The ego vehicle is equipped with lane keeping and lane chang ...

Ieee2016

Intégration des véhicules intelligents dans un contexte multimodal

Pierre-Yves Gilliéron, Alexandre Manuel Milot

L’automatisation des véhicules (privés ou publics) est aujourd'hui devenue un enjeu majeur pour faire face aux besoins de mobilité de demain. L'automatisation ne cesse de croître et d'apporter davantage de confort aux utilisateurs (régulation de vitesse, c ...

2016

Review of Advances in Neural Networks: Neural Design Technology Stack

Yusuf Leblebici, Stanislaw Andrzej Wozniak

This review provides a high-level synthesis of significant recent advances in artificial neural network research, as well as multi-disciplinary concepts connected to the far-reaching goal of obtaining intelligent systems. We assume that a global outlook of ...

Elsevier2016

Distributed Graph-based Convoy Control for Networked Intelligent Vehicles

Alcherio Martinoli, Ali Marjovi, Milos Vasic, Joseph Chadi Benoit Lemaitre

This paper presents an approach for formation control of multi-lane vehicular convoys in highways. We extend a Laplacian graph-based, distributed control law such that networked intelligent vehicles can join or leave the formation dynamically without jeopa ...

IEEE2015

Position accuracy with redundant MEMS IMU for road applications

Jan Skaloud, Pierre-Yves Gilliéron, Bertrand Merminod, Philipp Clausen

Traffic problems have mainly resulted from an increase in mobility over the last decades involving an increase in traffic congestion and degradation of environmental conditions. The employment of new systems - namely, Intelligent Transport Systems (ITS) is ...

2015

SaPPART: positioning integrity in challenging road applications

Pierre-Yves Gilliéron

Today, Intelligent Transportation Systems (ITS) and Personal Mobility (PM) applications are one of the most promising markets for GNSS. However, the high influence of operational and environmental conditions on GNSS performance in the road sector has led t ...

2015

EEG-based decoding of error-related brain activity in a real-world driving task

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Inaki Asier Iturrate Gil, Huaijian Zhang, Lucian Andrei Gheorghe, Zahra Khaliliardali

Objectives. Recent studies have started to explore the implementation of brain–computer interfaces (BCI) as part of driving assistant systems. The current study presents an EEG-based BCI that decodes error-related brain activity. Such information can be us ...

Institute of Physics2015

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