Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Alessandro Renzaglia"'
Augmented Reality on LiDAR data: Going beyond Vehicle-in-the-Loop for Automotive Software Validation
Publikováno v:
IV 2022-33rd IEEE Intelligent Vehicles Symposium IV
IV 2022-33rd IEEE Intelligent Vehicles Symposium IV, Jun 2022, Aachen, Germany. pp.1-6, ⟨10.1109/IV51971.2022.9827351⟩
IV 2022-33rd IEEE Intelligent Vehicles Symposium IV, Jun 2022, Aachen, Germany. pp.1-6, ⟨10.1109/IV51971.2022.9827351⟩
International audience; Testing and validating advanced automotive software is of paramount importance to guarantee safety and quality. While real-world testing is highly demanding and simulation testing is not reliable, we propose a new augmented re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2de2a17ffb24793704571d3c3e3f28f
https://doi.org/10.1109/iv51971.2022.9827351
https://doi.org/10.1109/iv51971.2022.9827351
Publikováno v:
IV 2022-33rd IEEE Intelligent Vehicles Symposium
IV 2022-33rd IEEE Intelligent Vehicles Symposium, Jun 2022, Aachen, Germany. pp.1-6
HAL
IV 2022-33rd IEEE Intelligent Vehicles Symposium, Jun 2022, Aachen, Germany. pp.1-6
HAL
Reliably predicting future occupancy of highly dynamic urban environments is an important precursor for safe autonomous navigation. Common challenges in the prediction include forecasting the relative position of other vehicles, modelling the dynamic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1133f195b0234049d6ba3783396b20d6
https://hal.science/hal-03663880
https://hal.science/hal-03663880
Publikováno v:
2022 IEEE International Conference on Robotics and Automation (ICRA 2022)
ICRA 2022-IEEE International Conference on Robotics and Automation
ICRA 2022-IEEE International Conference on Robotics and Automation, May 2022, Philadelphia, United States
HAL
ICRA 2022-IEEE International Conference on Robotics and Automation
ICRA 2022-IEEE International Conference on Robotics and Automation, May 2022, Philadelphia, United States
HAL
International audience; The ability to detect objects, under image corruptions and different weather conditions is vital for deep learning models especially when applied to real-world applications such as autonomous driving. Traditional RGB-based det
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa7b640338e081e8b4b001220ad9d4f9
https://hal.science/hal-03591717
https://hal.science/hal-03591717
Publikováno v:
ICAR 2021-International Conference on Advanced Robotics
ICAR 2021-International Conference on Advanced Robotics, Dec 2021, Ljubljana, Slovenia. pp.1-6, ⟨10.1109/ICAR53236.2021.9659485⟩
ICAR 2021-International Conference on Advanced Robotics, Dec 2021, Ljubljana, Slovenia. pp.1-6
ICAR 2021-International Conference on Advanced Robotics, Dec 2021, Ljubljana, Slovenia. pp.1-6, ⟨10.1109/ICAR53236.2021.9659485⟩
ICAR 2021-International Conference on Advanced Robotics, Dec 2021, Ljubljana, Slovenia. pp.1-6
International audience; Estimating the risk of collision with other road users is one of the most important modules to ensure safety in autonomous driving scenarios. In this paper, we propose new probabilistic models to obtain Stochastic Reachability
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27c7022acfa5e88738a62a7df935ce18
https://inria.hal.science/hal-03416222
https://inria.hal.science/hal-03416222
Publikováno v:
IEEE Transactions on Robotics
IEEE Transactions on Robotics, IEEE, 2019, 35 (3), pp.782-789. ⟨10.1109/TRO.2019.2895509⟩
IEEE Transactions on Robotics, 2019, 35 (3), pp.782-789. ⟨10.1109/TRO.2019.2895509⟩
IEEE Transactions on Robotics, IEEE, 2019, 35 (3), pp.782-789. ⟨10.1109/TRO.2019.2895509⟩
IEEE Transactions on Robotics, 2019, 35 (3), pp.782-789. ⟨10.1109/TRO.2019.2895509⟩
International audience; This paper deals with the problem of estimating in a collaborative way the gradient and the Hessian matrix of an unknown signal via noisy measurements collected by a group of robots. We propose symmetric formations with a redu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b14e1223b2190b2f37c6833e35a7ead3
https://doi.org/10.1109/tro.2019.2895509
https://doi.org/10.1109/tro.2019.2895509
Publikováno v:
Autonomous Robots
Autonomous Robots, 2020, 44, pp.339-357. ⟨10.1007/s10514-019-09841-8⟩
Autonomous Robots, Springer Verlag, In press, pp.1-19. ⟨10.1007/s10514-019-09841-8⟩
Autonomous Robots, 2020, 44, pp.339-357. ⟨10.1007/s10514-019-09841-8⟩
Autonomous Robots, Springer Verlag, In press, pp.1-19. ⟨10.1007/s10514-019-09841-8⟩
International audience; This paper investigates the visual and inertial sensor fusion problem in the cooperative case and provides new theoretical and basic results.Specifically, the case of two agents is investigated. Each agent is equipped with ine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2de999d87a39a224a615edb02ce05552
https://doi.org/10.1007/s10514-019-09841-8
https://doi.org/10.1007/s10514-019-09841-8
Publikováno v:
IV 2020 – 31st IEEE Intelligent Vehicles Symposium
IV 2020 – 31st IEEE Intelligent Vehicles Symposium, Oct 2020, Las Vegas, NV, United States. pp.1-7
HAL
IV 2020 – 31st IEEE Intelligent Vehicles Symposium, Oct 2020, Las Vegas, NV, United States. pp.1-7
HAL
International audience; A crucial aspect that automotive systems need to face before being used in everyday life is the validation of their components. To this end, standard exhaustive methods are inappropriate to validate the probabilistic algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e163b676a7c0f708e14e6eb72f74310
https://inria.hal.science/hal-02696444
https://inria.hal.science/hal-02696444
Publikováno v:
Journal of Intelligent and Robotic Systems
Journal of Intelligent and Robotic Systems, Springer Verlag, 2020, 97 (3), pp.623-634. ⟨10.1007/s10846-019-01014-0⟩
Journal of Intelligent and Robotic Systems, 2020, 97 (3), pp.623-634. ⟨10.1007/s10846-019-01014-0⟩
Journal of Intelligent and Robotic Systems, Springer Verlag, 2020, 97 (3), pp.623-634. ⟨10.1007/s10846-019-01014-0⟩
Journal of Intelligent and Robotic Systems, 2020, 97 (3), pp.623-634. ⟨10.1007/s10846-019-01014-0⟩
International audience; This paper proposes an algorithm to guide a formation of mobile robots, subject to communication constraints, from an arbitrary position to the location of the source of a physical signal in a planar environment. The informati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::285636c7efa24e4380568cfcfd1aac7b
https://hal.inria.fr/hal-02068180/file/source_seeking_hal19.pdf
https://hal.inria.fr/hal-02068180/file/source_seeking_hal19.pdf
Publikováno v:
Journal of Intelligent and Robotic Systems
Journal of Intelligent and Robotic Systems, Springer Verlag, 2020, ⟨10.1007/s10846-020-01255-4⟩
Journal of Intelligent and Robotic Systems, 2020, ⟨10.1007/s10846-020-01255-4⟩
Journal of Intelligent and Robotic Systems, Springer Verlag, 2020, ⟨10.1007/s10846-020-01255-4⟩
Journal of Intelligent and Robotic Systems, 2020, ⟨10.1007/s10846-020-01255-4⟩
International audience; This paper studies the problems of static coverage and autonomous exploration of unknown three-dimensional environments with a team of cooperating aerial vehicles. Although these tasks are usually considered separately in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e339fdbb7db752e598a82210889e5499
https://hal.inria.fr/hal-02930144
https://hal.inria.fr/hal-02930144
Publikováno v:
CIS-RAM 2019-9th IEEE International Conference on Cybernetics and Intelligent Systems (CIS) Robotics, Automation and Mechatronics (RAM)
CIS-RAM 2019-9th IEEE International Conference on Cybernetics and Intelligent Systems (CIS) Robotics, Automation and Mechatronics (RAM), Nov 2019, Bangkok, Thailand. pp.1-6
HAL
CIS/RAM
CIS-RAM 2019-9th IEEE International Conference on Cybernetics and Intelligent Systems (CIS) Robotics, Automation and Mechatronics (RAM), Nov 2019, Bangkok, Thailand. pp.1-6
HAL
CIS/RAM
Ensuring safety of both traffic participants and passengers is an important challenge for rapidly growing autonomous vehicle technology. To this purpose, intelligent vehicles not only have to drive safe but must be able to safeguard itself from other
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::462e945e829df0aded750738f5c76f3a
https://hal.inria.fr/hal-02355809/file/Abnormal_Driving_Behavior_CISRAM19.pdf
https://hal.inria.fr/hal-02355809/file/Abnormal_Driving_Behavior_CISRAM19.pdf