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Autonomous Vehicles: The Highlights

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Event
  • Session
  • Thursday, 18 June 2015
  • 09:18 - 09:18
  • Duration: 2 mins
  • Publication date: 10 Jul 2015
  • Location: NA, Hotel Novotel Paris les Halles
  • Part of event Autonomous Vehicles

About the session

Over the past years there has been a shift of interest on Autonomous Systems. Once considered academic experiments operating in university laboratories, today we find them in both civilian and military applications, particularly in the form of autonomous vehicles and robotics. 

The scientific community has benefit of the availability of affordable sensors, communications systems and powerful computers which together with developments in control algorithms, sensor fusion and decision-making, are enabling their deployment as part of our daily activities.

 

Within this context, control engineering provides the underlying framework that enables the emergence of autonomous capabilities of such systems. When considering moving platforms like autonomous cars we find control loops at the actuation level, at the longitudinal/lateral motion control, the decision making/path planning part and to ensure their safe operation.

Keywords:
  • TPN Network
  • automation
  • automation TPN
  • autonomous

Channels

Communities

Communities

Control

Control

Transport

Transport

Speakers

  • Francois Goulette

    Francois Goulette

    MINES ParisTech, Professor

    François Goulette is a Professor at MINES ParisTech, where he leads a research group in laser scanning for mapping and robotics. He graduated as an engineer (MSc) from MINES ParisTech and was a Visiting Scientist at the MIT Artificial Intelligence Laboratory. After working for the French electrical power supplier EDF he joined back MINES ParisTech, where he has been teaching and doing research since then on topics related to 3D active perception and robotics.
  • Michel Dhome

    Michel Dhome

    French National Council for Scientific Research (C, Senior Researcher

    Michel DHOME, 58 year old, is a senior Researcher of the French National Council for Scientific Research (CNRS). From 2005 to 2011, he was the head of the Laboratory of the Sciences and Materials for Electronics, and for Automatic (LASMEA). Since January 2012, he is the head of the new laboratory Pascal Institute of Clermont-Ferrand (union of three laboratories - 300 people). He is also the head of the laboratory of excellence IMobS3, research program on “Innovative Mobility: Smart and Sustainable Solutions”, involving seven laboratories working in the mechanics, automatics, electronics, computer sciences and process engineering. His main scientific contributions concern essentially the domain of the Artificial Perception, with the Robotics as main field of application. His activity can be classified according to the following four topics:• Auto-calibration of video cameras; • Complex 3D objects alignment on video sequences; • Real time tracking of textured objects;• Artificial vision approaches for the autonomous vehicles guidance.Today, its production is more than 180 scientific publications including 6 patents.
  • Shad Laws

    Shad Laws

    Renault Innovation Silicon Valley, Innovation Projects Manager

    Shad Laws joined Renault in Silicon Valley as an Innovation Project Manager in 2013. He is currently leading Renault’s autonomous driving efforts in California, collaborating with academic labs, working with startups, and piloting their prototype vehicle. He has a background in engineering, design, startups, and software development. He completed his PhD in Mechanical Engineering at Stanford University researching vehicle dynamics and control. For this work, he developed theoretical simulations but also full-scale prototypes, which he continued at LIVIC in France after graduation. Before this, he received a MS from Stanford University and a BS from Northwestern University, both in Mechanical Engineering with an emphasis on design. In his spare time, his hobbies transform him into an avid gearhead, an open-source coder, a jazz musician, a seasoned traveller, and a storied photographer.
  • RL

    Roland Lenain

    IRSTEA

  • RM

    Robert McCann

    IET France Network

  • PD

    Phil Dunbar

    IET, Chairman French Network

  • SL

    Serge Lambermont

    Delphi US Silicon Valley, Automated Driving Director

  • Shad Laws

    Shad Laws

    Renault Innovation Silicon Valley, Innovation Projects Manager

    Shad Laws joined Renault in Silicon Valley as an Innovation Project Manager in 2013. He is currently leading Renault’s autonomous driving efforts in California, collaborating with academic labs, working with startups, and piloting their prototype vehicle. He has a background in engineering, design, startups, and software development. He completed his PhD in Mechanical Engineering at Stanford University researching vehicle dynamics and control. For this work, he developed theoretical simulations but also full-scale prototypes, which he continued at LIVIC in France after graduation. Before this, he received a MS from Stanford University and a BS from Northwestern University, both in Mechanical Engineering with an emphasis on design. In his spare time, his hobbies transform him into an avid gearhead, an open-source coder, a jazz musician, a seasoned traveller, and a storied photographer.
  • Michel Dhome

    Michel Dhome

    French National Council for Scientific Research (C, Senior Researcher

    Michel DHOME, 58 year old, is a senior Researcher of the French National Council for Scientific Research (CNRS). From 2005 to 2011, he was the head of the Laboratory of the Sciences and Materials for Electronics, and for Automatic (LASMEA). Since January 2012, he is the head of the new laboratory Pascal Institute of Clermont-Ferrand (union of three laboratories - 300 people). He is also the head of the laboratory of excellence IMobS3, research program on “Innovative Mobility: Smart and Sustainable Solutions”, involving seven laboratories working in the mechanics, automatics, electronics, computer sciences and process engineering. His main scientific contributions concern essentially the domain of the Artificial Perception, with the Robotics as main field of application. His activity can be classified according to the following four topics:• Auto-calibration of video cameras; • Complex 3D objects alignment on video sequences; • Real time tracking of textured objects;• Artificial vision approaches for the autonomous vehicles guidance.Today, its production is more than 180 scientific publications including 6 patents.
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