Výsledky vyhledávání - "Lukas Rummelhard"

A cross-prediction, hidden-state-augmented approach for Dynamic Occupancy Grid filtering

Autor: Lukas Rummelhard, Jean-Alix David, Andres Gonzalez Moreno, Christian Laugier

Publikováno v: ICARCV 2022-17th International Conference on Control, Automation, Robotics and Vision
ICARCV 2022-17th International Conference on Control, Automation, Robotics and Vision, Dec 2022, Singapore, Singapore

International audience; Accurate modeling of complex dynamic environments is a fundamental requirement in robotics and automotive applications. While grid-mapping approaches used to be limited to static settings, methods for dynamic occupancy grids h

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f59a5251333dd5d947393273c088eca
https://inria.hal.science/hal-03974918

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Ground Estimation and Point Cloud Segmentation using SpatioTemporal Conditional Random Field

Autor: Amaury Nègre, Christian Laugier, Anshul Paigwar, Lukas Rummelhard

Publikováno v: IEEE Intelligent Vehicles Symposium (IV)
IEEE Intelligent Vehicles Symposium (IV), Jun 2017, Redondo Beach, United States. pp.1105-1110, ⟨10.1109/IVS.2017.7995861⟩
Intelligent Vehicles Symposium

International audience; Whether it be to feed data for an object detection-and-tracking system or to generate proper occupancy grids, 3D point cloud extraction of the ground and data classification are critical processing tasks, on their efficiency c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36c976667d04b0bdff6f9762a4c4a29b
https://hal.inria.fr/hal-01579095/file/GroundEstimatorIV2017.pdf

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Conditional Monte Carlo Dense Occupancy Tracker

Autor: Lukas Rummelhard, Amaury Nègre, Christian Laugier

Publikováno v: 18th IEEE International Conference on Intelligent Transportation Systems
18th IEEE International Conference on Intelligent Transportation Systems, Sep 2015, Las Palmas, Spain
ITSC

International audience; Proper modeling of dynamic environments is a core task in the field of intelligent vehicles. The most commonapproaches involve the modeling of moving objects, through Detection And Tracking of Moving Objects (DATMO) methods.An

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ac6bcdec19a2f3109eb72fbce3c86b5
https://hal.inria.fr/hal-01205298

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Integration of ADAS algorithm into an experimental vehicle

Autor: Gabriel Othmezouri, Christian Laugier, Jerome Lussereau, Jean-Alix David, Lukas Rummelhard, Amaury Nègre, Procopio Stein, Nicolas Vignard

Publikováno v: ARSO

For several years, INRIA and Toyota Europe have been working together in the development of algorithms directed to ADAS. This paper will describe the main results of this joint project, applied to a prototype vehicle equipped with several sensors. Th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::39e8f73f0cd555da9e0623dd136ab72b
https://doi.org/10.1109/arso.2015.7428202

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Intelligent Vehicle Perception: Toward the Integration on Embedded Many-core

Autor: Julien Mottin, Christian Laugier, Diego Puschini, Amaury Nègre, Tiana Rakotovao, Lukas Rummelhard

Publikováno v: 6th Workshop on Parallel Programming and Run-Time Management Techniques for Many-core Architectures (PARMA)
6th Workshop on Parallel Programming and Run-Time Management Techniques for Many-core Architectures (PARMA), Jan 2015, Amsterdam, Netherlands. ⟨10.1145/2701310.2701313⟩
PARMA-DITAM@HiPEAC

International audience; Intelligent vehicles (IVs) need a perception system to model the surrounding environment. The Hybrid Sampling Bayesian Occupancy Filter (HSBOF) is a perception algorithm monitoring a grid-based model of the environment called

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f986d2199dc70e2d83344a70589086b1
https://cea.hal.science/cea-01199808/document

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Hybrid Sampling Bayesian Occupancy Filter

Autor: Christian Laugier, Amaury Nègre, Lukas Rummelhard

Publikováno v: IEEE Intelligent Vehicles Symposium (IV)
IEEE Intelligent Vehicles Symposium (IV), Jun 2014, Dearborn, United States
Intelligent Vehicles Symposium

International audience; Modeling and monitoring dynamic environments is a complex task but is crucial in the field of intelligent vehicle. A traditional way of addressing these issues is the modeling of moving objects, through Detection And Tracking

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91c2d2d841e39876eb634eb0ae6806a2
https://inria.hal.science/hal-01011703

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Probabilistic Grid-based Collision Risk Prediction for Driving Application

Autor: Amaury Nègre, Mathias Perrollaz, Lukas Rummelhard, Christian Laugier

Publikováno v: Experimental Robotics ISBN: 9783319237770
ISER
ISER, Jun 2014, Marrakech/Essaouira, Morocco

International audience; In the recent years, more and more modern cars have been equipped with perception capabilities. One of the key applications of such perception systems is the estimation of a risk of collision. This is necessary for both Advanc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d96e2f807c668d2d2657b48de5610683

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