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    Author information
    First name: Benoît
    Last name: Fortin
    DBLP: 124/4946
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    Below you find the publications which have been written by this author.

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    Journal article
    Benoît Fortin, Samir Hachour, François Delmotte.
    Multi-Target PHD Tracking and Classification Using Imprecise Likelihoods.
    Int. J. Approx. Reasoning 2017, Volume 90 (0) 2017
    Conference paper
    Benoît Fortin, Régis Lherbier, Jean-Charles Noyer.
    A Model-Based Joint Detection and Tracking Approach for Multi-Vehicle Tracking With Lidar Sensor.
    IEEE Transactions on Intelligent Transportation Systems 2015, Volume 16 (0) 2015
    Conference paper
    Benoît Fortin, Régis Lherbier, Jean-Charles Noyer.
    A track-before-detect approach for extended target tracking in multi-lidar systems using a low-level centralized fusion framework.
    17th International Conference on Information Fusion, FUSION 2014, Salamanca, Spain, July 7-10, 2014 2014 (0) 2014
    Conference paper
    Benoît Fortin, Régis Lherbier, Jean-Charles Noyer.
    A generic particle filtering approach for multiple polyhedral object tracking in a distributed active sensor network.
    48th Asilomar Conference on Signals, Systems and Computers, ACSSC 2014, Pacific Grove, CA, USA, November 2-5, 2014 2014 (0) 2014
    Conference paper
    Benoît Fortin, Régis Lherbier, Jean-Charles Noyer.
    A labeled PHD filter for extended target tracking in lidar data using geometric invariance properties: Vehicular application.
    Proceedings of the 16th International Conference on Information Fusion, FUSION 2013, Istanbul, Turkey, July 9-12, 2013 2013 (0) 2013
    Conference paper
    Benoît Fortin, Régis Lherbier, Jean-Charles Noyer.
    A PHD approach for multiple vehicle tracking based on a polar detection method in laser range data.
    IEEE International Systems Conference, SysCon 2013, Orlando, FL, USA, April 15-18, 2013 2013 (0) 2013
    Journal article
    Benoît Fortin, Régis Lherbier, Jean-Charles Noyer.
    Feature Extraction in Scanning Laser Range Data Using Invariant Parameters: Application to Vehicle Detection.
    IEEE T. Vehicular Technology 2012, Volume 61 (0) 2012
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    Your query returned 7 matches in the database.