This shows you the differences between two versions of the page.
Both sides previous revisionPrevious revisionNext revision | Previous revision | ||
en:research [2018/04/29 12:08] – [TORNADO Project] xuphilip | en:research [2021/11/28 15:04] (current) – xuphilip | ||
---|---|---|---|
Line 1: | Line 1: | ||
+ | ====== ERASMO Project ====== | ||
+ | **__Enhanced Receiver for AutonomouS MObility__**\\ | ||
+ | Website: [[https:// | ||
+ | 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, | ||
+ | * Multi-constellation, | ||
+ | * 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, | ||
+ | |||
+ | 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__**\\ | ||
Line 12: | Line 26: | ||
The GNSS receiver in the ESCAPE engine will feature multi-constellation, | The GNSS receiver in the ESCAPE engine will feature multi-constellation, | ||
+ | {{ : | ||
====== TORNADO Project ====== | ====== TORNADO Project ====== | ||
**__Autonomous vehicles and infrastructure interactions for mobility services in lightly populated zones__**\\ | **__Autonomous vehicles and infrastructure interactions for mobility services in lightly populated zones__**\\ | ||
Line 18: | Line 32: | ||
Program: FUI\\ | Program: FUI\\ | ||
Partners: Renault, Rambouillet Territoires, | Partners: Renault, Rambouillet Territoires, | ||
- | Dates: | + | Dates: |
+ | |||
+ | {{ : | ||
====== PRETIV Project ====== | ====== PRETIV Project ====== | ||
Line 29: | Line 45: | ||
* Cross-experiments and comparative studies are to be conducted in real transnational traffic situations (France and China) by implementing the jointly developed core algorithms on two different test-bed vehicles of the partners, which will permit cross-fertilization of sensing techniques between the three research groups; | * Cross-experiments and comparative studies are to be conducted in real transnational traffic situations (France and China) by implementing the jointly developed core algorithms on two different test-bed vehicles of the partners, which will permit cross-fertilization of sensing techniques between the three research groups; | ||
* A comparative dataset containing the experimental data, labeled training sets in typical traffic scenarios in both France and China with ground-truth, | * A comparative dataset containing the experimental data, labeled training sets in typical traffic scenarios in both France and China with ground-truth, | ||
+ | |||
+ | {{: | ||
====== PREDiMAP Project ====== | ====== PREDiMAP Project ====== | ||
Line 38: | Line 56: | ||
The objective of the project is to gather research teams from China, Japan, Thailand and France with complementary skills and expertise to conduct research in the area of advanced perception systems for intelligent vehicles making a large use of digital maps. The partnership will benefit from different experiences in the fields of embedded perception systems for intelligent vehicles, digital geographic and road map information production and use, and more generally spatial information sciences. The originality of the project is to fully consider the dual concept for intelligent vehicle applications: | The objective of the project is to gather research teams from China, Japan, Thailand and France with complementary skills and expertise to conduct research in the area of advanced perception systems for intelligent vehicles making a large use of digital maps. The partnership will benefit from different experiences in the fields of embedded perception systems for intelligent vehicles, digital geographic and road map information production and use, and more generally spatial information sciences. The originality of the project is to fully consider the dual concept for intelligent vehicle applications: | ||
+ | |||
+ | {{ : |