UP-Drive SIGNED
Automated Urban Parking and Driving
Total Cost €
0EC-Contrib. €
0Partnership
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0UP-Drive project word cloud
Explore the words cloud of the UP-Drive project. It provides you a very rough idea of what is the project "UP-Drive" about.
Project "UP-Drive" data sheet
The following table provides information about the project.
| Coordinator |
VOLKSWAGEN AG
Organization address contact info |
| Coordinator Country | Germany [DE] |
| Project website | http://up-drive.eu/ |
| Total cost | 7˙604˙893 € |
| EC max contribution | 4˙671˙896 € (61%) |
| Programme |
1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)) |
| Code Call | H2020-ICT-2015 |
| Funding Scheme | RIA |
| Starting year | 2016 |
| Duration (year-month-day) | from 2016-01-01 to 2019-12-31 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | VOLKSWAGEN AG | DE (WOLFSBURG) | coordinator | 3˙020˙487.00 |
| 2 | UNIVERSITATEA TEHNICA CLUJ-NAPOCA | RO (CLUJ NAPOCA) | participant | 897˙708.00 |
| 3 | CESKE VYSOKE UCENI TECHNICKE V PRAZE | CZ (PRAHA) | participant | 753˙700.00 |
| 4 | EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH | CH (ZUERICH) | participant | 0.00 |
| 5 | IBM RESEARCH GMBH | CH (RUESCHLIKON) | participant | 0.00 |
Map
Project objective
Automation of individual transport systems is considered an up-and-coming prospect with the potential of greatly mitigating many of the challenges associated with intensified urbanization, while at the same time offering additional benefits for the citizens and drastically increasing overall street safety. However, due to the lack of maturity of involved key technologies and persisting legal limitations, full automation of on-road driving remains a longer-term vision, particularly in urban environments.
The goal and ambition of UP-Drive is to address these technological challenges through the development of an automated valet parking service for city environments, aimed at relieving a car driver from the burden of finding a parking space in city centers. Instead, the fully automated car navigates on its own through urban neighborhoods, finds a parking space and returns on-demand.
Creating such a system requires mastering all key technologies essential to automated urban driving beyond the current state-of-the-art: complete round-view perception of the vehicle environment, robust lifelong localization and mapping, sophisticated understanding of complex scenes as well as aggregation and integration of long-term semantic data over a cloud-based infrastructure. With this, we ensure that the research and development carried out in this project will directly be applicable to other urban driving use-cases such as driver assistance and safety systems on the one hand, and on the other hand to the transportation for elderly and citizens with handicaps, last-mile delivery of goods - and ultimately fully automated urban driving in general.
The consortium will continuously integrate the research and development from all partners into a fully functional vehicle platform and will showcase the end-product in its full extent to the general public.
Deliverables
| First development and integration cycle of cloud infrastructure | Documents, reports | 2019-05-30 14:23:06 |
| Brochure, newsletter | Websites, patent fillings, videos etc. | 2019-05-30 14:22:54 |
| Project Web-page | Websites, patent fillings, videos etc. | 2019-05-30 14:22:53 |
| Software specification and architecture for the decision making and navigation | Documents, reports | 2019-05-30 14:22:51 |
| Software specification and architecture for scene understanding | Documents, reports | 2019-05-30 14:22:53 |
| Specification of the map frontend and storage concept | Documents, reports | 2019-05-30 14:22:50 |
| First vehicle platform available | Documents, reports | 2019-05-30 14:23:04 |
| Initial specification and design of on-board sensing | Documents, reports | 2019-05-30 14:22:50 |
| Development infrastructure | Documents, reports | 2019-05-30 14:23:07 |
Take a look to the deliverables list in detail: detailed list of UP-Drive deliverables.
Publications
| year | authors and title | journal | last update |
|---|---|---|---|
| 2016 |
Michal UÅ™iÄář, VojtÄ›ch Franc, Diego Thomas, Akihiro Sugimoto, Václav HlavÃ¡Ä Multi-view facial landmark detector learned by the Structured Output SVM published pages: 45-59, ISSN: 0262-8856, DOI: 10.1016/j.imavis.2016.02.004 |
Image and Vision Computing 47 | 2020-03-24 |
| 2020 |
Mircea Paul Muresan, Ion Giosan, Sergiu Nedevschi Stabilization and Validation of 3D Object Position Using Multimodal Sensor Fusion and Semantic Segmentation published pages: 1110, ISSN: 1424-8220, DOI: 10.3390/s20041110 |
Sensors 20/4 | 2020-03-24 |
| 2020 |
Renaud Dubé, Andrei Cramariuc, Daniel Dugas, Hannes Sommer, Marcin Dymczyk, Juan Nieto, Roland Siegwart, Cesar Cadena SegMap: Segment-based mapping and localization using data-driven descriptors published pages: 339-355, ISSN: 0278-3649, DOI: 10.1177/0278364919863090 |
The International Journal of Robotics Research 39/2-3 | 2020-03-24 |
| 2019 |
Mathias Bürki, Cesar Cadena, Igor Gilitschenski, Roland Siegwart, Juan Nieto Appearanceâ€based landmark selection for visual localization published pages: 1041-1073, ISSN: 1556-4959, DOI: 10.1002/rob.21870 |
Journal of Field Robotics 36/6 | 2020-03-24 |
| 2017 |
VladimÃr PetrÃk, VladimÃr Smutný, Pavel Krsek, Václav HlavÃ¡Ä Single arm robotic garment folding path generation published pages: 1325-1337, ISSN: 0169-1864, DOI: 10.1080/01691864.2017.1367325 |
Advanced Robotics 31/23-24 | 2020-03-24 |
| 2018 |
Thomas Schneider, Marcin Dymczyk, Marius Fehr, Kevin Egger, Simon Lynen, Igor Gilitschenski, Roland Siegwart Maplab: An Open Framework for Research in Visual-Inertial Mapping and Localization published pages: 1418-1425, ISSN: 2377-3766, DOI: 10.1109/LRA.2018.2800113 |
IEEE Robotics and Automation Letters 3/3 | 2020-03-24 |
| 2019 |
Schaupp, Lukas; Bürki, Mathias; Cadena, Cesar; Dube, Renaud; Siegwart, Roland OREOS: Oriented Recognition of 3D Point Clouds in Outdoor Scenarios published pages: , ISSN: , DOI: 10.13140/rg.2.2.10859.59685 |
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 1 | 2020-03-24 |
| 2016 |
Kostiantyn Antoniuk, VojtÄ›ch Franc, Václav HlavÃ¡Ä V-shaped interval insensitive loss for ordinal classification published pages: 261-283, ISSN: 0885-6125, DOI: 10.1007/s10994-015-5541-9 |
Machine Learning 103/2 | 2020-03-24 |
| 2019 |
Vlad-Cristian Miclea, Sergiu Nedevschi Real-Time Semantic Segmentation-Based Stereo Reconstruction published pages: 1-11, ISSN: 1524-9050, DOI: 10.1109/tits.2019.2913883 |
IEEE Transactions on Intelligent Transportation Systems | 2020-03-24 |
| 2018 |
J. Å kovierová, A. Vobecký, M. Uller, R. Å koviera, V. HlavÃ¡Ä Motion Prediction Influence on the Pedestrian Intention Estimation Near a Zebra Crossing published pages: , ISSN: , DOI: |
4th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS 2018) | 2020-03-24 |
| 2019 |
Danila Rukhovich, Daniel Mouritzen, Ralf Kaestner, Martin Rufli, Alexander Velizhev Estimation of Absolute Scale in Monocular SLAM Using Synthetic Data published pages: , ISSN: , DOI: |
International Conference on Computer Vision (ICCV); Workshop on Computer Vision for Road Scene Understanding and Autonomous Driving | 2020-03-24 |
| 2019 |
Lukas Bernreiter, Abel Roman Gawel, Hannes Sommer, Juan Nieto, Roland Siegwart, Cesar Cadena Lerma Multiple Hypothesis Semantic Mapping for Robust Data Association published pages: 1-1, ISSN: 2377-3766, DOI: 10.1109/lra.2019.2925756 |
IEEE Robotics and Automation Letters | 2020-03-24 |
| 2018 |
Bürki, Mathias; Dymczyk, Marcin; Gilitschenski, Igor; Cadena, Cesar; Siegwart, Roland; Nieto, Juan Map Management for Efficient Long-Term Visual Localization in Outdoor Environments published pages: , ISSN: , DOI: |
IEEE Intelligent Vehicles Symposium 1 | 2020-03-24 |
| 2018 |
J. Moravec, R. Šára Robust Maximum-likelihood On-line LiDAR-to-Camera Calibration Monitoring and Refinement published pages: , ISSN: , DOI: |
Proceedings of the 23rd Computer Vision Winter Workshop | 2020-03-24 |
| 2017 |
Vlad Miclea Deep learning-based approaches for stereo reconstruction published pages: , ISSN: , DOI: |
2019-06-18 | |
| 2017 |
Robert Varga Lessons learned from developing the Gödel Deep Learning library published pages: , ISSN: , DOI: |
2019-06-18 | |
| 2017 |
Alessandro Simovic, Ralf Kaestner, Martin Rufli A Decentralized Trust-minimized Cloud Robotics Architecture published pages: , ISSN: , DOI: |
2019-06-18 | |
| 2017 |
Arthur Costea Boosting over deep convolutional features for object detection published pages: , ISSN: , DOI: |
2019-06-18 | |
| 2018 |
V. Miclea and S. Nedevschi Real-time Semantic Segmentation-based Depth Upsampling using Deep Learning published pages: , ISSN: , DOI: |
2019-06-18 | |
| 2018 |
A. Costea, A. Petrovai, S. Nedevschi Fusion Scheme for Semantic and Instance-level Segmentation published pages: , ISSN: , DOI: |
2019-06-18 | |
| 2017 |
Andra Petrovai Deep learning for semantic image segmentation published pages: , ISSN: , DOI: |
2019-06-18 | |
| 2017 |
A.D. Costea, A. Petrovai, S. Nedevschi Fusion Scheme for Semantic and Instance-level Segmentation published pages: , ISSN: , DOI: |
2019-06-18 | |
| 2016 |
Cesar Cadena, Luca Carlone, Henry Carrillo, Yasir Latif, Davide Scaramuzza, Jose Neira, Ian Reid, John J. Leonard Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age published pages: 1309-1332, ISSN: 1552-3098, DOI: 10.1109/TRO.2016.2624754 |
IEEE Transactions on Robotics 32/6 | 2019-06-18 |
| 2016 |
Mathias Buerki, Igor Gilitschenski, Elena Stumm, Roland Siegwart, and Juan Nieto Appearance-Based Landmark Selection for Efficient Long-Term Visual Localization published pages: , ISSN: , DOI: |
International Conference on Intelligent Robots and Systems (IROS) 2016 | 2019-06-18 |
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