End-to-End Probabilistic Ego-Vehicle Localization Framework

Autor: Dieumet Denis, Johann Laconte, Abderrahim Kasmi, Romuald Aufrère, Roland Chapuis

Publikováno v: IEEE Transactions on Intelligent Vehicles
IEEE Transactions on Intelligent Vehicles, Institute of Electrical and Electronics Engineers, 2020, pp.1-1. ⟨10.1109/TIV.2020.3017256⟩
IEEE Transactions on Intelligent Vehicles, 2020, pp.1-1. ⟨10.1109/TIV.2020.3017256⟩

International audience; Locating the vehicle in its road is a critical part of any autonomous vehicle system and has been subject to different research topics. In most works presented in the literature, ego-localization is split into three parts: Roa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20d504e3cb968afb219ce6d8a358f080
https://doi.org/10.1109/tiv.2020.3017256

Reliable Risk Management for Autonomous Vehicles based on Sequential Bayesian Decision Networks and Dynamic Inter-Vehicular Assessment

Autor: Dieumet Denis, Lounis Adouane, Dimia Iberraken

Publikováno v: 2019 IEEE Intelligent Vehicles Symposium (IV)
30th IEEE Intelligent Vehicles Symposium (IV 2019)
30th IEEE Intelligent Vehicles Symposium (IV 2019), Jun 2019, Paris, France. pp.2344-2351, ⟨10.1109/IVS.2019.8813800⟩

Guaranteeing the safety of an autonomous vehicle (AV) is a challenging task, especially if the perceived environment is highly uncertain and other road users deviate from their expected trajectories. In this paper, we propose a probabilistic overall

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c140004eb45a6ddcfd2c19fed3604f45
https://hal.archives-ouvertes.fr/hal-03100071

Vehicle Detection based on Deep Learning Heatmap Estimation

Autor: Dieumet Denis, Thierry Chateau, Ruddy Théodosc, Paul Checchin, Christophe Blanc

Publikováno v: 2019 IEEE Intelligent Vehicles Symposium (IV).

The detection and localization of objects on point cloud provided by LiDAR sensors have various applications, especially for autonomous driving. As methods are being more efficient in terms of performance and execution speed, they operate in an end-t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::09ca195eb94a4b2ac502d2e0912714f3
https://doi.org/10.1109/ivs.2019.8814285

Map Matching and Lanes Number Estimation with Openstreetmap

Autor: Abderrahim Kasmi, Roland Chapuis, Dieumet Denis, Romuald Aufrère

Publikováno v: 2018 21st International Conference on Intelligent Transportation Systems (ITSC)
2018 21st International Conference on Intelligent Transportation Systems (ITSC), Nov 2018, Maui, France. pp.2659-2664, ⟨10.1109/ITSC.2018.8569840⟩
IEEE International Conference on Intelligent Transportation Systems
IEEE International Conference on Intelligent Transportation Systems, Nov 2018, Hawï, United States
ITSC

International audience; Road information, like lanes number, play an important role for intelligent vehicles (IV). Traditionally such road information are obtained through a vision-based measurement or by using a digital detailed map. In this paper,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d5fb603cf49acb16ddfed4c149d3192
https://hal.uca.fr/hal-03049723/document

Multi-level Bayesian decision-making for safe and flexible autonomous navigation in highway environment

Autor: Lounis Adouane, Dieumet Denis, Dimia Iberraken

Publikováno v: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct 2018, Madrid, Spain
IROS

This paper proposes an overall Multi-Controller Architecture (MCA) for safe and flexible navigation of autonomous navigation, under uncertainties in highway use-cases. In addition to the details given about the main modules (and their interactions) c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::360a2cb95c3374cf67c0dba2c9cbb5df
https://hal.uca.fr/hal-01925262