Výsledky vyhledávání - "Vincent FREMONT"

Akademický článek

Autor: Muhammad Farhan Ahmed, Khayyam Masood, Vincent Fremont, Isabelle Fantoni

Publikováno v: Sensors, Vol 23, Iss 19, p 8097 (2023)

This article presents a comprehensive review of the Active Simultaneous Localization and Mapping (A-SLAM) research conducted over the past decade. It explores the formulation, applications, and methodologies employed in A-SLAM, particularly in trajec

Externí odkaz: https://doaj.org/article/cc26d9f592274ab3b36909aa6c9ea0a9

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Akademický článek

Parking Pose Generation for Autonomous Freight Collection by Pallet Handling Car-like Robot

Autor: Khayyam Masood, David Pérez Morales, Vincent Fremont, Matteo Zoppi, Rezia Molfino

Publikováno v: Energies, Vol 14, Iss 15, p 4677 (2021)

This paper focuses on autonomous navigation for an electric freight vehicle designed to collect freight autonomously using pallet handling robots installed in the vehicle. Apart from autonomous vehicle navigation, the primary hurdle for vehicle auton

Externí odkaz: https://doaj.org/article/7daa572b9259490cb92f1d8a488c72f3

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Akademický článek

Vision-Based People Detection System for Heavy Machine Applications

Autor: Vincent Fremont, Manh Tuan Bui, Djamal Boukerroui, Pierrick Letort

Publikováno v: Sensors, Vol 16, Iss 1, p 128 (2016)

This paper presents a vision-based people detection system for improving safety in heavy machines. We propose a perception system composed of a monocular fisheye camera and a LiDAR. Fisheye cameras have the advantage of a wide field-of-view, but the

Externí odkaz: https://doaj.org/article/1181e60326f24a51a22cd6c6291ef702

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Unsupervised Cluster-Wise Hyperspectral Band Selection for Classification

Autor: Elcio Shiguemori, Mateus Habermann, Vincent FREMONT

Publikováno v: Remote Sensing; Volume 14; Issue 21; Pages: 5374
Remote Sensing
Remote Sensing, 2022, 14 (21), pp.5374. ⟨10.3390/rs14215374⟩

International audience; A hyperspectral image provides fine details about the scene under analysis, due to its multiple bands. However, the resulting high dimensionality in the feature space may render a classification task unreliable, mainly due to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9df7bcdf792180207898aef9346f42f8

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Object Tracking with a Fusion of Event-Based Camera and Frame-Based Camera

Autor: Haixin Sun, Vincent Fremont

Publikováno v: Lecture Notes in Networks and Systems ISBN: 9783031160776

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fe2fa6894c0ca5f1d65f272bef4536e5
https://doi.org/10.1007/978-3-031-16078-3_15

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Language Evolution in Swarm Robotics

Autor: Marco Dorigo, Eliseo Ferrante, Vincent Fremont, Nicolas Cambier, Vito Trianni, Roman Miletitch

Publikováno v: Frontiers in Robotics and AI, 7(February):12, 1-7. Frontiers Media
Cambier, N, Miletitch, R, Frémont, V, Dorigo, M, Ferrante, E & Trianni, V 2020, ' Language Evolution in Swarm Robotics : A Perspective ', Frontiers in Robotics and AI, vol. 7, no. February, 12, pp. 1-7 . https://doi.org/10.3389/frobt.2020.00012
Frontiers in Robotics and AI
Frontiers in Robotics and AI, Frontiers Media S.A., 2020, 7, pp.12. ⟨10.3389/frobt.2020.00012⟩
Frontiers in Robotics and AI 7 (2020). doi:10.3389/frobt.2020.00012
info:cnr-pdr/source/autori:Cambier, Nicolas; Miletitch, Roman; Fremont, Vincent; Dorigo, Marco; Ferrante, Eliseo; Trianni, Vito/titolo:Language Evolution in Swarm Robotics: A Perspective/doi:10.3389%2Ffrobt.2020.00012/rivista:Frontiers in Robotics and AI/anno:2020/pagina_da:/pagina_a:/intervallo_pagine:/volume:7
Frontiers in Robotics and AI, Vol 7 (2020)
Frontiers in robotics and AI, 7

International audience; While direct local communication is very important for the organization of robot swarms, so far it has mostly been used for relatively simple tasks such as signaling robots preferences or states. Inspired by the emergence of m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3aabefd9b2998bb0ef0c32b1a01941fd
http://www.scopus.com/inward/record.url?scp=85102473995&partnerID=8YFLogxK

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Digitalization efforts in liminal space – inter-organizational challenges

Autor: Lars-Johan Åge, Jens Eklinder-Frick, Vincent Fremont, Aihie Osarenkhoe

Publikováno v: Journal of Business & Industrial Marketing. 35:150-158

Purpose The purpose of this paper is to analyze the benefits and drawbacks that strategically imposed liminality inflicts upon inter-organizational digitalization efforts within the different phases of its utilization. Design/methodology/approach Thi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f84fcd616beb71f78eecf7d444c49114
https://doi.org/10.1108/jbim-12-2018-0392

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Attention-based Proposals Refinement for 3D Object Detection

Autor: Minh-Quan Dao, Elwan Hery, Vincent Fremont

Publikováno v: 2022 IEEE Intelligent Vehicles Symposium (IV)
2022 IEEE Intelligent Vehicles Symposium (IV), Jun 2022, Aachen, Germany. pp.197-205, ⟨10.1109/IV51971.2022.9827019⟩

Recent advances in 3D object detection are made by developing the refinement stage for voxel-based Region Proposal Networks (RPN) to better strike the balance between accuracy and efficiency. A popular approach among state-of-the-art frameworks is to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5351c99f25ece2c93e16ce1ca011d9df
http://arxiv.org/abs/2201.07070

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Sharing visual-inertial data for collaborative decentralized simultaneous localization and mapping

Autor: Vincent Fremont, Rodolphe Dubois, Alexandre Eudes

Publikováno v: Robotics and Autonomous Systems
Robotics and Autonomous Systems, Elsevier, 2021, pp.103933. ⟨10.1016/j.robot.2021.103933⟩

Building on the maturity of single-robot SLAM algorithms, collaborative SLAM has brought significant gains in terms of efficiency and robustness, but has also raised new challenges to cope with like informational, network and resource constraints. Se

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4072c388e1c497f24f24f1d84b98a5a8
https://hal.archives-ouvertes.fr/hal-03438658

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Mono-Vision based Moving Object Detection using Semantic-Guided RANSAC

Autor: Songming Chen, Vincent Fremont, Haixin Sun

Publikováno v: 2021 IEEE International Conference on Multisensor Fusion and Integration (MFI 2021)
2021 IEEE International Conference on Multisensor Fusion and Integration (MFI 2021), Sep 2021, Karlsruhe, Germany
MFI

International audience; This paper proposes a novel two-stage approach for detecting moving objects with a non-stationary monocular camera mounted on a vehicle. We formulate an innovative method called semantic-guided random sample consensus (Semanti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae003eaef4654e6b659a66f399bcccdd
https://hal.archives-ouvertes.fr/hal-03413852/document

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