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UP-Drive SIGNED

Automated Urban Parking and Driving

Total Cost €

EC-Contrib. €

Partnership

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Outcomes and
results

UP-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.

integrate coming handicaps urbanization perception citizens ultimately relieving sophisticated mitigating drastically urban round elderly showcase road environment vehicle intensified lifelong complete navigates platform environments functional goods full demand automated cloud time safety data technological mapping aggregation ambition mile car neighborhoods applicable persisting city view last parking street scenes transportation lack assistance valet additional integration automation benefits infrastructure public space individual technologies returns driving drive longer vision instead service prospect driver limitations transport finds burden centers mastering semantic maturity localization

Project "UP-Drive" data sheet

The following table provides information about the project.

Coordinator	VOLKSWAGEN AG Organization address address: BERLINER RING 2 city: WOLFSBURG postcode: 38440 website: www.volkswagen.de contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
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.

#	participants	country	role	EC contrib. [€]
1	VOLKSWAGEN AG VOLKSWAGEN AG Organization address address: BERLINER RING 2 city: WOLFSBURG postcode: 38440 website: www.volkswagen.de contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DE (WOLFSBURG)	coordinator	3˙020˙487.00
2	UNIVERSITATEA TEHNICA CLUJ-NAPOCA UNIVERSITATEA TEHNICA CLUJ-NAPOCA Organization address address: STR MEMORANDUMULUI 28 city: CLUJ NAPOCA postcode: 400114 website: http://users.utcluj.ro/~gorgan contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	RO (CLUJ NAPOCA)	participant	897˙708.00
3	CESKE VYSOKE UCENI TECHNICKE V PRAZE CESKE VYSOKE UCENI TECHNICKE V PRAZE Organization address address: JUGOSLAVSKYCH PARTYZANU 1580/3 city: PRAHA postcode: 160 00 website: www.cvut.cz contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	CZ (PRAHA)	participant	753˙700.00
4	EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH Organization address address: Raemistrasse 101 city: ZUERICH postcode: 8092 website: https://www.ethz.ch/de.html contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	CH (ZUERICH)	participant	0.00
5	IBM RESEARCH GMBH IBM RESEARCH GMBH Organization address address: SAEUMERSTRASSE 4 city: RUESCHLIKON postcode: 8803 website: www.zurich.ibm.com contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	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

List of 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

List of publications.
year	authors and title	journal	last update
2016	Michal UÅ™iÄÃ¡Å™, VojtÄ›ch Franc, Diego Thomas, Akihiro Sugimoto, VÃ¡clav 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 DubÃ©, 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 BÃ¼rki, 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 SmutnÃ½, Pavel Krsek, VÃ¡clav 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; BÃ¼rki, 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, VÃ¡clav 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 kovierovÃ¡, A. VobeckÃ½, 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	BÃ¼rki, 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. Å Ã¡ra 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 GÃ¶del 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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The information about "UP-DRIVE" are provided by the European Opendata Portal: CORDIS opendata.