Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Tiana Rakotovao"'
Publikováno v:
Sensors, Vol 23, Iss 3, p 1613 (2023)
Occupancy grid maps are widely used as an environment model that allows the fusion of different range sensor technologies in real-time for robotics applications. In an autonomous vehicle setting, occupancy grid maps are especially useful for their ab
Externí odkaz:
https://doaj.org/article/e5d6094fb7314bb4a2a24e9d82ec58d3
Autor:
Julie Foucault, Suzanne Lesecq, Gabriela Dudnik, Marc Correvon, Rosemary O’Keeffe, Vincenza Di Palma, Marco Passoni, Fabio Quaglia, Laurent Ouvry, Steven Buckley, Jean Herveg, Andrea di Matteo, Tiana Rakotovao, Olivier Debicki, Nicolas Mareau, John Barrett, Susan Rea, Alan McGibney, François Birot, Hugues de Chaumont, Richard Banach, Joseph Razavi, Cian Ó’Murchú
Publikováno v:
Sensors, Vol 19, Iss 19, p 4350 (2019)
Environment perception is crucial for the safe navigation of vehicles and robots to detect obstacles in their surroundings. It is also of paramount interest for navigation of human beings in reduced visibility conditions. Obstacle avoidance systems t
Externí odkaz:
https://doaj.org/article/50d0ec42115645efb05ae6861e859422
Publikováno v:
IEEE Sensors 2021
IEEE sensors
2021 IEEE Sensors
2021 IEEE Sensors, Oct 2021, Sydney, Australia. pp.1, ⟨10.1109/SENSORS47087.2021.9639531⟩
IEEE sensors
2021 IEEE Sensors
2021 IEEE Sensors, Oct 2021, Sydney, Australia. pp.1, ⟨10.1109/SENSORS47087.2021.9639531⟩
International audience; LIDAR sensors are essential in intelligent transportation systems since they provide high-resolution, dense and precise range measurements. The use of LIDARs is rapidly growing and an increasing number of vehicles equipped wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13dcae44dd0960d1af00700e49b5165e
https://doi.org/10.1109/sensors47087.2021.9639531
https://doi.org/10.1109/sensors47087.2021.9639531
Publikováno v:
Electronic Components and Systems for Automotive Applications ISBN: 9783030141554
The LIDAR is seen as a key enabling technology for future autonomous transportation. The specification and performance of LIDAR devices are crucial to enable safe perception algorithms using a combination of several sensing technologies. Nevertheless
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0df84a4958f6fd0f9e39293c0df7024c
https://doi.org/10.1007/978-3-030-14156-1_13
https://doi.org/10.1007/978-3-030-14156-1_13
Publikováno v:
IFAC World Congress
IFAC World Congress, Jul 2017, Toulouse, France
IFAC World Congress, Jul 2017, Toulouse, France
International audience; Several robotic applications imply motion in complex and dynamic environments. Occupancy Grids model the surrounding environment by a grid composed of a finite number of cells. The probability whether a cell is occupied or emp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eba0ab05786cc362f937f792fa92da18
https://hal-cea.archives-ouvertes.fr/cea-01571087
https://hal-cea.archives-ouvertes.fr/cea-01571087
Autor:
Susan Rea, Fabio Quaglia, Steve Buckley, Gabriela Dudnik, Francois Birot, Julie Foucault, M. Correvon, Vincenza Di Palma, Joseph Razavi, Hugues de Chaumont, John Barrett, Marco Passoni, Andrea di Matteo, Laurent Ouvry, Jean Herveg, Richard Banach, Alan McGibney, Cian O'Murchu, Rosemary O'Keeffe, Nicolas Mareau, Olivier Debicki, Tiana Rakotovao, Suzanne Lesecq
Publikováno v:
Sensors
Sensors (Basel, Switzerland)
Sensors, Vol 19, Iss 19, p 4350 (2019)
Volume 19
Issue 19
Foucault, J, Lesecq, S, Dudnik, G, Correvon, M, O’keeffe, R, Di Palma, V, Passoni, M, Quaglia, F, Ouvry, L, Buckley, S, Herveg, J, Di Matteo, A, Rakotovao, T, Debicki, O, Mareau, N, Barrett, J, Rea, S, Mcgibney, A, Birot, F, De Chaumont, H, Banach, R, Razavi, J & Ó’murchú, C 2019, ' INSPEX: Optimize Range Sensors for Environment Perception as a Portable System ', Sensors, vol. 19, no. 19, pp. 4350 . https://doi.org/10.3390/s19194350
Foucault, J, Lesecq, S, Dudnik, G, Correvon, M, O’keeffe, R, Di Palma, V, Passoni, M, Quaglia, F, Ouvry, L, Buckley, S, Herveg, J, Di Matteo, A, Rakotovao, T, Debicki, O, Mareau, N, Barrett, J, Rea, S, McGibney, A, Birot, F, de Chaumont, H, Banach, R, Razavi, J & Ó’murchú, C 2019, ' INSPEX: Optimize range sensors for environment perception as a portable system ', Sensors, vol. 19, no. 19, 4350, pp. 18 p. https://doi.org/10.3390/s19194350
Sensors (Basel, Switzerland)
Sensors, Vol 19, Iss 19, p 4350 (2019)
Volume 19
Issue 19
Foucault, J, Lesecq, S, Dudnik, G, Correvon, M, O’keeffe, R, Di Palma, V, Passoni, M, Quaglia, F, Ouvry, L, Buckley, S, Herveg, J, Di Matteo, A, Rakotovao, T, Debicki, O, Mareau, N, Barrett, J, Rea, S, Mcgibney, A, Birot, F, De Chaumont, H, Banach, R, Razavi, J & Ó’murchú, C 2019, ' INSPEX: Optimize Range Sensors for Environment Perception as a Portable System ', Sensors, vol. 19, no. 19, pp. 4350 . https://doi.org/10.3390/s19194350
Foucault, J, Lesecq, S, Dudnik, G, Correvon, M, O’keeffe, R, Di Palma, V, Passoni, M, Quaglia, F, Ouvry, L, Buckley, S, Herveg, J, Di Matteo, A, Rakotovao, T, Debicki, O, Mareau, N, Barrett, J, Rea, S, McGibney, A, Birot, F, de Chaumont, H, Banach, R, Razavi, J & Ó’murchú, C 2019, ' INSPEX: Optimize range sensors for environment perception as a portable system ', Sensors, vol. 19, no. 19, 4350, pp. 18 p. https://doi.org/10.3390/s19194350
Environment perception is crucial for the safe navigation of vehicles and robots to detect obstacles in their surroundings. It is also of paramount interest for navigation of human beings in reduced visibility conditions. Obstacle avoidance systems t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6de4ce14cd58c6bbf72c0214b3be317
https://doi.org/10.3390/s19194350
https://doi.org/10.3390/s19194350
Publikováno v:
In Proceedings of the 53rd Annual Design Automation Conference (DAC 2016)
In Proceedings of the 53rd Annual Design Automation Conference (DAC 2016), Jun 2016, Austin, United States. ⟨10.1145/2897937.2898035⟩
DAC
In Proceedings of the 53rd Annual Design Automation Conference (DAC 2016), Jun 2016, Austin, United States. ⟨10.1145/2897937.2898035⟩
DAC
International audience; Occupancy Grids (OGs) are a popular framework for robotic perception. They were recently adopted for performing multisensor fusion and environment mapping for autonomous vehicles. However, high computational requirements stron
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7dca606220f82a7b4b5c10908f61cff9
https://hal-cea.archives-ouvertes.fr/cea-01518771
https://hal-cea.archives-ouvertes.fr/cea-01518771
Publikováno v:
ICRA 2016-IEEE International Conference on Robotics and Automation
ICRA 2016-IEEE International Conference on Robotics and Automation, May 2016, Stockholm, Sweden. ⟨10.1109/ICRA.2016.7487330⟩
ICRA
ICRA 2016-IEEE International Conference on Robotics and Automation, May 2016, Stockholm, Sweden. ⟨10.1109/ICRA.2016.7487330⟩
ICRA
International audience; For the last 25 years, occupancy grids have been intensively used as a well-understood framework for many robotic applications, such as path planning or obstacle avoidance. They offer a unifying framework for multiple heteroge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ea4fd05714614a1c74186eb9806a3b6
https://hal-cea.archives-ouvertes.fr/cea-01273335
https://hal-cea.archives-ouvertes.fr/cea-01273335
Publikováno v:
ARSO
IEEE International Workshop on Advanced Robotics and its Social Impacts. ARSO 2015
IEEE International Workshop on Advanced Robotics and its Social Impacts. ARSO 2015, Jul 2015, Lyon, France
IEEE International Workshop on Advanced Robotics and its Social Impacts. ARSO 2015
IEEE International Workshop on Advanced Robotics and its Social Impacts. ARSO 2015, Jul 2015, Lyon, France
Safe Autonomous Vehicles (AVs) will emerge when comprehensive perception systems will be successfully integrated into vehicles. Advanced perception algorithms based on occupancy grids were developed for AV prototypes. These algorithms estimate the po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03a3e2880eba8423f7f438e06094a148
https://doi.org/10.1109/arso.2015.7428211
https://doi.org/10.1109/arso.2015.7428211
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
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
https://cea.hal.science/cea-01199808/document