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Cédric Pradalier
Researcher at Georgia Institute of Technology
Publications - 161
Citations - 2718
Cédric Pradalier is an academic researcher from Georgia Institute of Technology. The author has contributed to research in topics: Mobile robot & Computer science. The author has an hindex of 26, co-authored 143 publications receiving 2385 citations. Previous affiliations of Cédric Pradalier include Centre national de la recherche scientifique & Institute of Robotics and Intelligent Systems.
Papers
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Journal ArticleDOI
Bayesian Occupancy Filtering for Multitarget Tracking: An Automotive Application
TL;DR: This paper proposes a new approach for robust perception and risk assessment in highly dynamic environments called Bayesian occupancy filtering, which basically combines a four-dimensional occupancy grid representation of the obstacle state space with Bayesian filtering techniques.
Book
The International Journal of Robotics Research (IJRR) - Special issue on ``Field and Service Robotics ''
TL;DR: This special issue of the International Journal of Robotics Research presents a selection of papers that were presented initially at the Sixth International Conference on Field and Service Robotics (FSR'07) held on July 9-12, 2007 in Chamonix, France.
Proceedings ArticleDOI
Toward automated driving in cities using close-to-market sensors: An overview of the V-Charge Project
Paul Furgale,Ulrich Schwesinger,Martin Rufli,Wojciech Waclaw Derendarz,Hugo Grimmett,Peter Mühlfellner,Stefan Wonneberger,Julian Timpner,Stephan Rottmann,Bo Li,Bastian Schmidt,Thien-Nghia Nguyen,Elena Cardarelli,Stefano Cattani,Stefan Brüning,Sven Horstmann,Martin Stellmacher,Holger Mielenz,Kevin Köser,Markus Beermann,Christian Häne,Lionel Heng,Gim Hee Lee,Friedrich Fraundorfer,Rene Iser,Rudolph Triebel,Ingmar Posner,Paul Newman,Lars Wolf,Marc Pollefeys,Stefan Brosig,Jan Effertz,Cédric Pradalier,Roland Siegwart +33 more
TL;DR: An overview of the V-Charge system is presented, from the platform setup to the mapping, perception, and planning sub-systems, which is able to automate valet parking and recharging for integration into a future transportation system.
Proceedings ArticleDOI
Real-time moving obstacle detection using optical flow models
TL;DR: A real-time method to detect obstacles using theoretical models of optical flow fields to segment the image in two layers: the pixels which match the authors' optical flow model and those that do not (i.e. the obstacles).
Journal ArticleDOI
Autonomous Inland Water Monitoring: Design and Application of a Surface Vessel
Gregory Hitz,François Pomerleau,M-E Garneau,Cédric Pradalier,Thomas Posch,Jakob Pernthaler,Roland Siegwart +6 more
TL;DR: The application of a single ASV to capture both spatial and temporal dynamics of harmful cyanobacterial blooms in lakes is investigated, which allows fast deployments in remote location, which is cost efficient for lake sampling, and reduces the need for fixed installations.