Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Guillaume Bresson"'
Publikováno v:
Sensors, Vol 23, Iss 18, p 7804 (2023)
Autonomous navigation relies on the crucial aspect of perceiving the environment to ensure the safe navigation of an autonomous platform, taking into consideration surrounding objects and their potential movements. Consequently, a fundamental require
Externí odkaz:
https://doaj.org/article/296a451ae6fa4d31b1634932e59bab56
Publikováno v:
Frontiers in Robotics and AI, Vol 8 (2022)
Autonomous vehicles require precise and reliable self-localization to cope with dynamic environments. The field of visual place recognition (VPR) aims to solve this challenge by relying on the visual modality to recognize a place despite changes in t
Externí odkaz:
https://doaj.org/article/00bf6bea798841f2b6b409844a9d29bd
Publikováno v:
Algorithms, Vol 13, Iss 12, p 331 (2020)
Understanding the behaviors and intentions of humans is still one of the main challenges for vehicle autonomy. More specifically, inferring the intentions and actions of vulnerable actors, namely pedestrians, in complex situations such as urban traff
Externí odkaz:
https://doaj.org/article/94bd4129804448138b737cffb4927be9
Publikováno v:
Multimedia Tools and Applications. 81:22449-22480
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35b1dc68e8da181fcd66fd6c53a3887b
https://doi.org/10.1007/s11042-021-11870-4
https://doi.org/10.1007/s11042-021-11870-4
Publikováno v:
From Animals to Animats 16 ISBN: 9783031167690
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4965294ee5d45bf0ce3c2969d3003f3
https://doi.org/10.1007/978-3-031-16770-6_13
https://doi.org/10.1007/978-3-031-16770-6_13
Publikováno v:
2021 IEEE 19th World Symposium on Applied Machine Intelligence and Informatics (SAMI).
Appearance changes are a challenge for visual localization in outdoor environments. Revisiting familiar places but retrieving keyframes that were taken under different environmental condition can result in inaccurate localization. To overcome this di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2deab9230c65c0d1f7c394ed14305a9f
https://doi.org/10.1109/sami50585.2021.9378614
https://doi.org/10.1109/sami50585.2021.9378614
Publikováno v:
ICINCO
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::590d53c984abc9d8ef9eac85a54f65fa
https://doi.org/10.5220/0010518303830387
https://doi.org/10.5220/0010518303830387
Publikováno v:
ITSC
This paper introduces a novel unsupervised neural network model for visual information encoding which aims to address the problem of large-scale visual localization. Inspired by the structure of the visual cortex, the model (namely HSD) alternates la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5afcae947897d51df7dd7653538cdb86
https://hal.science/hal-03377521
https://hal.science/hal-03377521
Publikováno v:
Algorithms
Algorithms, MDPI, 2020, 13 (12), pp.331. ⟨10.3390/a13120331⟩
Volume 13
Issue 12
Algorithms, Vol 13, Iss 331, p 331 (2020)
Algorithms, MDPI, 2020, 13 (12), pp.331. ⟨10.3390/a13120331⟩
Volume 13
Issue 12
Algorithms, Vol 13, Iss 331, p 331 (2020)
Understanding the behaviors and intentions of humans is still one of the main challenges for vehicle autonomy. More specifically, inferring the intentions and actions of vulnerable actors, namely pedestrians, in complex situations such as urban traff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23c84c9cb04170e1520f1b2f95fa82e5
https://hal-mines-paristech.archives-ouvertes.fr/hal-03059635/file/algorithms-13-00331-v2.pdf
https://hal-mines-paristech.archives-ouvertes.fr/hal-03059635/file/algorithms-13-00331-v2.pdf
Publikováno v:
IEEE Transactions on Intelligent Vehicles
IEEE Transactions on Intelligent Vehicles, Institute of Electrical and Electronics Engineers, 2017, XX, pp.1. ⟨10.1109/TIV.2017.2749181⟩
IEEE Transactions on Intelligent Vehicles, 2017, XX, pp.1. ⟨10.1109/TIV.2017.2749181⟩
IEEE Transactions on Intelligent Vehicles, Institute of Electrical and Electronics Engineers, 2017, XX, pp.1. ⟨10.1109/TIV.2017.2749181⟩
IEEE Transactions on Intelligent Vehicles, 2017, XX, pp.1. ⟨10.1109/TIV.2017.2749181⟩
International audience; —In this article, we propose a survey of the Simultaneous Localization And Mapping field when considering the recent evolution of autonomous driving. The growing interest regarding self-driving cars has given new directions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72af33c5e630464d79bcf3ebe4341f6d
https://doi.org/10.1109/tiv.2017.2749181
https://doi.org/10.1109/tiv.2017.2749181