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pro vyhledávání: '"Duthon, P"'
The ability to accurately detect and localize objects is recognized as being the most important for the perception of self-driving cars. From 2D to 3D object detection, the most difficult is to determine the distance from the ego-vehicle to objects.
Externí odkaz:
http://arxiv.org/abs/2103.03977
This article focuses on analyzing the performance of a typical time-of-flight (ToF) LiDAR under fog environment. By controlling the fog density within CEREMA Adverse Weather Facility 1 , the relations between the ranging performance and fogs are both
Externí odkaz:
http://arxiv.org/abs/2003.06660
This paper presents the recently published Cerema AWP (Adverse Weather Pedestrian) dataset for various machine learning tasks and its exports in machine learning friendly format. We explain why this dataset can be interesting (mainly because it is a
Externí odkaz:
http://arxiv.org/abs/1806.04016
Autor:
Charlotte Segonne, Pierre Duthon
Publikováno v:
Journal of Imaging, Vol 9, Iss 10, p 211 (2023)
Vehicles featuring partially automated driving can now be certified within a guaranteed operational design domain. The verification in all kinds of scenarios, including fog, cannot be carried out in real conditions (risks or low occurrence). Simulati
Externí odkaz:
https://doaj.org/article/19b2c042773c422986b5689b6b8d74a6
Akademický článek
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Publikováno v:
Journal of Experimental Orthopaedics, Vol 7, Iss 1, Pp 1-6 (2020)
Abstract Purpose Although complete tear of the knee posterolateral corner (PLC) commonly occurs in combination with other knee ligamentous injuries, the incidence of isolated PLC injury was reported only 28% and overlooked in many cases. Nevertheless
Externí odkaz:
https://doaj.org/article/66d1c9daed604251b9591a40038c9bf3
Publikováno v:
Journal of Experimental Orthopaedics, Vol 9, Iss 1, Pp n/a-n/a (2022)
Abstract Purpose Despite many protocols that have been proposed, there’s no consensus in the literature regarding the optimal rehabilitation program and return to sports (RTS) protocol following isolated meniscal repair. The aim of this current con
Externí odkaz:
https://doaj.org/article/941d351b104249dd8d6113925a24a83f
Autor:
Pascal Housam Salmane, Josué Manuel Rivera Velázquez, Louahdi Khoudour, Nguyen Anh Minh Mai, Pierre Duthon, Alain Crouzil, Guillaume Saint Pierre, Sergio A. Velastin
Publikováno v:
Sensors, Vol 23, Iss 6, p 3223 (2023)
Methods based on 64-beam LiDAR can provide very precise 3D object detection. However, highly accurate LiDAR sensors are extremely costly: a 64-beam model can cost approximately USD 75,000. We previously proposed SLS–Fusion (sparse LiDAR and stereo
Externí odkaz:
https://doaj.org/article/ece18662d398455a9e7316f994a894e3
Publikováno v:
Journal of Imaging, Vol 9, Iss 2, p 54 (2023)
Improving the reliability of automotive perceptive sensors in degraded weather conditions, including fog, is an important issue for road safety and the development of automated driving. Cerema has designed the PAVIN platform reproducing fog and rain
Externí odkaz:
https://doaj.org/article/d7349a339f3f4af48ec7ac78586d65ca
Autor:
Josué Manuel Rivera Velázquez, Louahdi Khoudour, Guillaume Saint Pierre, Pierre Duthon, Sébastien Liandrat, Frédéric Bernardin, Sharon Fiss, Igor Ivanov, Raz Peleg
Publikováno v:
Journal of Imaging, Vol 8, Iss 11, p 306 (2022)
Object detection is recognized as one of the most critical research areas for the perception of self-driving cars. Current vision systems combine visible imaging, LIDAR, and/or RADAR technology, allowing perception of the vehicle’s surroundings. Ho
Externí odkaz:
https://doaj.org/article/b52f28fd6abb4a6da4c9ac6e24915ef8