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en:research [2019/06/27 14:15] – [PREDiMAP Project] xuphilipen:research [2021/11/28 15:04] (current) xuphilip
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 +====== ERASMO Project ======
 +**__Enhanced Receiver for AutonomouS MObility__**\\
 +Website: [[https://erasmo-gnss.eu/]]\\
 +Partners: Artisense, GMV, Nextium, Renault, Septentrio, VVA\\
 +Dates: June 2021 -- June 2024
 +
 +ERASMO is set to develop an innovative positioning On-Board-Unit (OBU) that will enable fully automated driving. The OBU will be integrating a GNSS receiver together with additional sensors to enable the target applications’ performance. To meet the required performance targets, the proposed OBU might also make use of a communication channel in order to take advantage of the cooperative positioning concept. The OBU shall optimally leverage the E-GNSS differentiators, by implementing one or several of the following technical aspects:
 +  * Multi-constellation, multi-frequencies (E1 or E5, alternatively E1 and E6, ideally also including the E5/AltBOC wideband processing);
 +  * High accuracy techniques (PPP, RTK or hybrid options), as well as longer integration time thanks to the use of pilot signals;
 +  * Galileo authentication features increasing the solution trustworthiness.
 +The developed ERASMO receiver OBU shall be cost-efficient, and the outcome of the development shall be a close-to-market prototype(s), which corresponds to reaching a Technology Readiness Level (TRL) of at least 7. The ERASMO OBU is to provide localisation estimates for the navigation of automated vehicles with the highest level of precision, integrity, and availability, by leveraging on the information being broadcasted by the Galileo GNSS as well as the combination of absolute and relative localisation methods.  Additionally, the objective will be to optimise the use of Galileo signals in terms of accuracy, integrity, correction features and availability. The OBU will allow for the possibility to hybridise GNSS data with information from multi-sensors as well as vehicle information to attain the best absolute localisation information possible, as well as to measure the level of integrity achieved. The proposed solution will allow to determine the relative localisation of the vehicle equipped with such OBU by leveraging on the perception sensors available for autonomous driving as well as a priori information stored in navigation maps.  Furthermore, the project will seek to combine both relative and absolute localisation estimates to provide high accuracy and high availability localisation information for autonomous driving and other location dependent applications, including an estimate of the system integrity level.
 +
 +The ERASMO project will demonstrate and measure the performance of the proposed solution experimentally in peri-urban and urban road networks and ensure that the proposed solution is economically and operationally feasible for use in passenger vehicles.
 +
 ====== ESCAPE Project ====== ====== ESCAPE Project ======
 **__European Safety Critical Applications Positioning Engine__**\\ **__European Safety Critical Applications Positioning Engine__**\\
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 Partners: Renault, Rambouillet Territoires, BMCP, Easymile, Exoskills, Neavia Technologies, 4D-Virtualiz, IFSTTAR, INRIA Grenoble, Institut Pascal, Université de Pau et des Pays de l'Adour, Heudiasyc UMR UTC/CNRS\\ Partners: Renault, Rambouillet Territoires, BMCP, Easymile, Exoskills, Neavia Technologies, 4D-Virtualiz, IFSTTAR, INRIA Grenoble, Institut Pascal, Université de Pau et des Pays de l'Adour, Heudiasyc UMR UTC/CNRS\\
 Dates: September 2017 -- September 2020 Dates: September 2017 -- September 2020
 +
 +{{ :en:tornado.jpg?500 |}}
  
 ====== PRETIV Project ====== ====== PRETIV Project ======

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