Search Results - "Revilloud, Marc"

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  1. 1

    A Review of Motion Planning for Highway Autonomous Driving by Claussmann, Laurene, Revilloud, Marc, Gruyer, Dominique, Glaser, Sebastien

    “…Self-driving vehicles will soon be a reality, as main automotive companies have announced that they will sell their driving automation modes in the 2020s. This…”
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    Journal Article
  2. 2

    Accurate lateral positioning from map data and road marking detection by Gruyer, Dominique, Belaroussi, Rachid, Revilloud, Marc

    Published in Expert systems with applications (01-01-2016)
    “…•Accurate ego-localization using visual features from two lateral cameras.•Digital map integrated as a powerful additional sensor.•Road marking detection…”
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    Journal Article
  3. 3

    Map-aided localization with lateral perception by Gruyer, Dominique, Belaroussi, Rachid, Revilloud, Marc

    “…Accurate localization of a vehicle is a challenging task as GPS available on the market are not designed for lane-level accuracy application. Although dead…”
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    Conference Proceeding
  4. 4

    GTP-UDrive: Unified Game-Theoretic Trajectory Planner and Decision-Maker for Autonomous Driving in Mixed Traffic Environments by Naidja, Nouhed, Revilloud, Marc, Font, Stephane, Sandou, Guillaume

    “…Understanding the interdependence between autonomous and human-operated vehicles remains an ongoing challenge, with significant implications for the safety and…”
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    Conference Proceeding
  5. 5

    Generator of road marking textures and associated ground truth Applied to the evaluation of road marking detection by Marc, Revilloud, Dominique, Gruyer, Evangeline, Pollard

    “…To increase driving safety, many researcher works on Advanced Driving Assistance Systems (ADAS) have been developed and embedded in real prototypes during the…”
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    Conference Proceeding
  6. 6

    An improved approach for robust road marking detection and tracking applied to multi-lane estimation by Revilloud, Marc, Gruyer, Dominique, Pollard, Evangeline

    “…In this paper, an original and innovative algorithm for multi-lane detection and estimation is proposed. Based on a three-step process, (1) road primitives…”
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    Conference Proceeding
  7. 7

    Ecodriving performances of human drivers in a virtual and realistic world by Orfila, Olivier, Gruyer, Dominique, Judalet, Vincent, Revilloud, Marc

    “…In this study, results of an ecodriving challenge that took place during the Paris Motor Show in 2014 are presented. The principle of this challenge was to…”
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    Conference Proceeding
  8. 8

    Lane markings-based relocalization on highway by Revilloud, Marc, Doucet, Emmanuel

    “…In this paper we propose a method to create maps of lane markers and a relocalization method using these maps on highways. We use a three-steps sub-pixellic…”
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    Conference Proceeding
  9. 9

    GTP-UDrive: Unified Game-Theoretic Trajectory Planner and Decision-Maker for Autonomous Driving in Mixed Traffic Environments by Naidja, Nouhed, Sandou, Guillaume, Font, Stéphane, Revilloud, Marc

    Published 20-06-2024
    “…35th IEEE Intelligent Vehicles Symposium (IV 2024), Jun 2024, Jeju Island, South Korea Understanding the interdependence between autonomous and human-operated…”
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    Journal Article
  10. 10

    Trajectory Based Particle Filter: Asynchronous Observation Fusion for Autonomous Driving Localization by Jonchery, Sylvain, Revilloud, Marc, Ouerhani, Yousri

    “…Estimating the pose of a vehicle is an essential function for an autonomous vehicle. Numerous methods exist to tackle this problem, but they are often…”
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    Conference Proceeding
  11. 11

    Simulated Annealing-optimized Trajectory Planning within Non-Collision Nominal Intervals for Highway Autonomous Driving by Claussmann, Laurene, Revilloud, Marc, Glaser, Sebastien

    “…This article considers the problem of near-optimal trajectory generation for autonomous vehicles on highways. The goal is to select a predictive reference…”
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    Conference Proceeding
  12. 12

    A lane marker estimation method for improving lane detection by Revilloud, Marc, Gruyer, Dominique, Rahal, Mohamed-Cherif

    “…In this paper we present a new lane markers detection and estimation algorithm aiming to improve lane detection methods. We first estimate the area of lane…”
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    Conference Proceeding
  13. 13

    A cooperative fusion architecture for robust localization: Application to autonomous driving by Bresson, Guillaume, Rahal, Mohamed-Cherif, Gruyer, Dominique, Revilloud, Marc, Alsayed, Zayed

    “…The localization of a vehicle is a central task of autonomous driving. Most of the time, it is solved by considering a single algorithm with a few sensors. In…”
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    Conference Proceeding
  14. 14

    A study on al-based approaches for high-level decision making in highway autonomous driving by Claussmann, Laurene, Revilloud, Marc, Glaser, Sebastien, Gruyer, Dominique

    “…Autonomous driving relies on a wide range of domains of research. It faces rapid technological and theoretical advances, with various methods and process…”
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    Conference Proceeding
  15. 15

    A new multi-agent approach for lane detection and tracking by Revilloud, M., Gruyer, D., Rahal, Mc

    “…This paper proposes an unconventional approach for multi-lane detection and tracking based on a reactive multi-agent system. Most of the algorithms use camera…”
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    Conference Proceeding
  16. 16

    Automatic generation of ground truth for the evaluation of obstacle detection and tracking techniques by Hajri, Hatem, Doucet, Emmanuel, Revilloud, Marc, Halit, Lynda, Lusetti, Benoît, Rahal, Mohamed-Cherif

    Published 16-07-2018
    “…As automated vehicles are getting closer to becoming a reality, it will become mandatory to be able to characterise the performance of their obstacle detection…”
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    Journal Article
  17. 17

    PerSEE: A central sensors fusion electronic control unit for the development of perception-based ADAS by Gruyer, Dominique, Belaroussi, Rachid, Xuanpeng Li, Lusetti, Benoit, Revilloud, Marc, Glaser, Sebastien

    “…Automated vehicles and Advanced Driver Assistance Systems (ADAS) face a variety of complex situations that are dealt with numerous sensors for the perception…”
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    Conference Proceeding