Prof. Mariana Netto
Université Gustave Eiffel
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Academic Career Length
27Years (2000-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications1 December 2011 in Control Engineering Practice
Journal Article
30 May 2006 in IEEE Transactions on Intelligent Transportation Systems
Journal Article
The main goal of this paper is to develop a distance to line crossing (DLC) based computation of time to line crossing (TLC). Different computation methods with increasing complexity are provided. A discussion develops the influence of assumptions generally assumed for approximation. A sensitivity analysis with respect to vehicle parameters and positioning is performed. For TLC computation, both straight and curved vehicle paths are considered. The road curvature being another important variable considered in the proposed computations, an observer for its estimation is then proposed. An evaluation over a digitalized test track is first performed. Real data are then collected through an experiment carried out in test tracks with the equipped prototype vehicle. Based on these real data, TLC is then computed with the theoretically proposed methods. The obtained results outlined the necessity to take into consideration vehicle dynamics to use the TLC as a lane departure indicator.
17 July 2009 in IEEE Transactions on Intelligent Transportation Systems
Journal Article
NENicoleta Minoiu Enache
Nicoleta Minoiu Enache
SMSaïd Mammar
Saïd Mammar
Mariana NettoBLBenoit Lusetti
Benoit Lusetti
This paper presents the design and the practical implementation of vehicle steering assistance that helps the driver avoid unintended lane departure. A switching strategy is built to govern the driver-assistance interaction, and the resulting hybrid system is formalized as an input/output (I/O) hybrid automaton. Composite Lyapunov functions, polyhedral-like invariant sets, and linear matrix inequality (LMI) methods constitute the heart of the approach used to design the lane-departure avoidance (LDA) system. The practical implementation of this steering assistance in a prototype vehicle confirms the effectiveness of this approach.
1 June 2009 in Control Engineering Practice
Journal Article
NEN. Minoiu Enache
N. Minoiu Enache
Mariana NettoSMS. Mammar
S. Mammar
BLB. Lusetti
B. Lusetti
8 July 2010 in IEEE Transactions on Intelligent Transportation Systems
Journal Article
AAAngelos Amditis
Angelos Amditis
MBMatthaios Bimpas
Matthaios Bimpas
GTGeorge Thomaidis
George Thomaidis
MTManolis Tsogas
Manolis Tsogas
Mariana NettoRCRenzo Cicilloni
Renzo Cicilloni
+7
Going beyond standard lane-departure-avoidance systems, this paper addresses the development of a system that is able to deal with a large set of different traffic situations. Its foundation lies on a thoroughly constituted environment detection through which a decision system is built. From the output of the decision module, the driver is warned or corrected through suited actuators that are coupled to control strategies. The input to the system comes from cameras, which are supplemented by active sensors (such as radar and laser scanners) and vehicle dynamic data, digital road maps, and precise vehicle-positioning data. In this paper, the presented system design is divided into three layers: the perception layer, which is responsible for the environment perception, and the decision and action layers, which are responsible for evaluating and executing actions, respectively.
1 January 2004
Conference Paper
About Me
Mariana Netto is a Researcher at the Université Gustave Eiffel, France. She obtained her French Senior diploma Habilitation à Diriger des Recherches in 2013 and her Ph.D degree in automatic control, in collaboration with the Massachusetts Institute of Technology, from the Laboratory of Signals and Systems (L2S)—CentraleSupélec—University of South-Paris, France, in 2001, on the topic “Adaptive Control of Nonlinearly Parameterized Systems”. She was also assistant professor within the University of South-Paris for one year before integrating the Univ. Eiffel. Among her international research activities, Mariana Netto has led her institution (IFSTTAR) in the European Network of Excellence HYCON2; she is serving as chair of the IFAC Technical Committee 9.2 'Social Impact of Automation', for 2020-2023, after having served as vice chair of this committee from 2014 to 2020. Mariana Netto has also been co-founder and co-leader of the national research forum on Intelligent Electric Systems and Networks from the CNRS Research Forum GDR MACS (2010-2020). She has served since 2019 as member of the CPHS Steering Committee, and as such she served to CPHS 2020 as steering committee member, IPC member and publicity chair. Mariana Netto belongs to the roll of honor of the laureates of IFAC France, as recipient of the IFAC Service French Award in 2018.