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Opendata, web and dolomites

SMART SIGNED

Smart Automation of Rail Transport

Total Cost €

EC-Contrib. €

Partnership

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Outcomes and
results

SMART project word cloud

Explore the words cloud of the SMART project. It provides you a very rough idea of what is the project "SMART" about.

tsi sensors impaired 200 connection software standard decrease detection estimation prototype yards scanner complete taf recognition distance image handling safe stereo smart beside night optimization freight automation tolerance hardware 1000 quality providers shared railways wagon laser onto camera platform day technologies combine rail shunting operation data vision contribution effectiveness haul formats algorithms transport time thermal planning external mid initiation create railway solution cargo intensifier operations obstacle market buffers cm service braking measurable marshalling visibility lt network yard fusion capacity

Project "SMART" data sheet

The following table provides information about the project.

Coordinator	UNIVERSITAET BREMEN Organization address address: Bibliothekstrasse 1 city: BREMEN postcode: 28359 website: www.uni-bremen.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://smartrail-automation-project.net
Total cost	999˙598 €
EC max contribution	999˙598 € (100%)
Programme	1. H2020-EU.3.4.8.5. (Innovation Programme 5: Technologies for sustainable and attractive European rail freight)
Code Call	H2020-S2RJU-OC-2015-01-2
Funding Scheme	Shift2Rail-RIA
Starting year	2016
Duration (year-month-day)	from 2016-10-01 to 2019-09-30

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	UNIVERSITAET BREMEN UNIVERSITAET BREMEN Organization address address: Bibliothekstrasse 1 city: BREMEN postcode: 28359 website: www.uni-bremen.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 (BREMEN)	coordinator	460˙223.00
2	UNIVERZITET U NISU UNIVERZITET U NISU Organization address address: UNIVERZITETSKI TRG 2 city: NIS postcode: 18000 website: http://www.ni.ac.yu contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	RS (NIS)	participant	219˙375.00
3	RHEINISCH-WESTFAELISCHE TECHNISCHE HOCHSCHULE AACHEN RHEINISCH-WESTFAELISCHE TECHNISCHE HOCHSCHULE AACHEN Organization address address: TEMPLERGRABEN 55 city: AACHEN postcode: 52062 website: www.rwth-aachen.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 (AACHEN)	participant	140˙000.00
4	HARDER DIGITAL SOVA D.O.O. NIS HARDER DIGITAL SOVA D.O.O. NIS Organization address address: BULEVAR CARA KONSTANTINA 80 city: NIS postcode: 18000 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	RS (NIS)	participant	90˙000.00
5	TECHNICAL UNIVERSITY OF SOFIA TECHNICAL UNIVERSITY OF SOFIA Organization address address: Kliment Ohridsky Bd 8 city: SOFIA postcode: 1000 website: http://www.tu-sofia.bg contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	BG (SOFIA)	participant	90˙000.00

Map

Project objective

SMART main goal is to increase the quality of rail freight, as well as its effectiveness and capacity, through the contribution to automation of railway cargo haul at European railways. In order to achieve the main goal, SMART will deliver the following measurable objectives: • complete, safe and reliable prototype solution for obstacle detection and initiation of long distance forward-looking braking, • short distance wagon recognition for shunting onto buffers, • development of a real-time marshalling yard management system integrated into IT platform available at the market. The SMART prototype solution for obstacle detection will provide prototype hardware and software algorithms for obstacle detection. The system will combine two night vision technologies - thermal camera and image intensifier with multi-stereo vision system and laser scanner in order to create fusion system for mid (up to 200 m) and long range ( up to 1000 m) obstacle detection during day and night operation, as well as operation during impaired visibility. By this planned fusion of sensors, the system will be capable, beside reliable detection of obstacle up to 1000 m, to provide short range (< 200 m) wagon recognition for shunting operations with a /- 5 cm distance estimation tolerance. The real-time marshalling yard management system will provide optimization of available resources and planning of marshalling operations in order to decrease overall transport time and costs associated with cargo handling. The yard management system will provide real time data about resources available over open and TAF/TSI standard data formats for connection to external network systems and shared usage of marshalling yards between different service providers.

Deliverables

List of deliverables.
Report on algorithms for 2D image processing	Documents, reports	2019-10-29 14:52:00
Identification and generation of relevant information and data flow between input and output requirements	Documents, reports	2019-10-09 11:29:13
Design of the passive vibration isolation system	Documents, reports	2019-10-09 11:29:15
Overall framework architecture and list of requirements for real-time marshalling yard management system	Documents, reports	2019-10-09 11:29:11
Architectural design of the information system for supervision and management of marshalling yards	Demonstrators, pilots, prototypes	2019-10-09 11:29:18
Integration data in unique database of EU marshalling yards	Documents, reports	2019-10-09 11:29:16
SMART Dissemination, communication activities and exploitation plan	Documents, reports	2019-10-09 11:29:15
Obstacle Detection System Requirements Specification	Documents, reports	2019-10-03 19:14:42
Report on selected sensors for multi-sensory system for obstacle detection	Documents, reports	2019-10-03 19:14:42
Identification of relevant information about train classification process and marshalling yard sorting methods	Documents, reports	2019-10-03 19:14:42
Report on sub-systems conformance testing	Documents, reports	2019-10-03 19:14:42

Take a look to the deliverables list in detail: detailed list of SMART deliverables.

Publications

List of publications.
year	authors and title	journal	last update
2018	Nikola VITKOVIÄ†, MiloÅ¡ SIMONOVIÄ†, Aleksandar MILTENOVIÄ†, DuÅ¡an STAMENKOVIÄ†, Milan BANIÄ† SOFTWARE MODULE FOR THE VISUALIZATION AND PLANNING OF MARSHALLING YARD OPERATIONS published pages: , ISSN: , DOI:	XVIII Scientific-Expert Conference on Railways, RAILCON 2018	2020-02-05
2018	Danijela RISTIÄ†-DURRANT, Muhammad ABDUL HASEEB, Milan BANIÄ†, DuÅ¡an STAMENKOVIÄ†, MiloÅ¡ SIMONOVIÄ†, Ivan Ä†IRIÄ†, Vlastimir NIKOLIÄ†, Dragan NIKOLIÄ†, DuÅ¡an RADOVANOVIÄ† SMART: A NOVEL ON-BOARD INTEGRATED MULTI-SENSOR LONG-RANGE OBSTACLE DETECTION SYSTEM FOR RAILWAY published pages: , ISSN: , DOI:	XVIII Scientific-Expert Conference on Railways, RAILCON 2018	2020-02-05
2019	Milan BaniÄ‡, DuÅ¡an StamenkoviÄ‡, Aleksandar MiltenoviÄ‡, MiloÅ¡ SimonoviÄ‡, MiloÅ¡ MiloÅ¡eviÄ‡ DESIGN OF HOUSING AND VIBRATION SUPPRESSION FOR OBSTACLE DETECTION SYSTEM IN RAILWAYS published pages: , ISSN: , DOI:	24th INTERNATIONAL CONFERENCE â€œCURRENT PROBLEMS IN RAIL VEHICLESâ€ - PRORAIL 2019	2020-01-30
2019	Haseeb M.A., RistiÄ‡-Durrant D., GrÃ¤ser, A. A deep learning based autonomous distanceestimation and tracking of multiple objects for improvement in safety and security inrailways published pages: , ISSN: , DOI:	BMV2019 workshop on Object Detection and Recognition for Security Screening (ODRSS2019)	2020-01-30
2018	Muhammad Abdul Haseeb, Danijela RistiÄ‡-Durrant, Axel GrÃ¤ser Long-range obstacle detection from a monocular camera published pages: , ISSN: , DOI:	ACM Computer Science in Cars Symposium (CSCS 2018), ECCV 2018	2020-01-30
2019	Milan BaniÄ‡, Aleksandar MiltenoviÄ‡, Milan PavloviÄ‡, Ivan Ä†iriÄ‡ INTELLIGENT MACHINE VISION BASED RAILWAY INFRASTRUCTURE INSPECTION AND MONITORING USING UAV published pages: , ISSN: 0354-2025, DOI: 10.22190/fume190507041b	Facta Universitatis, Series: Mechanical Engineering	2019-11-15
2018	Milan Pavlovic, Ivan Ciric, Danijela Ristic-Durrant, Vlastimir Nikolic, Milos Simonovic, Milica Ciric, Milan Banic Advanced thermal camera based system for object detection on rail tracks published pages: 1551-1561, ISSN: 0354-9836, DOI: 10.2298/tsci18s5551p	Thermal Science 22/Suppl. 5	2019-10-14
2018	RistiÄ‡-Durrant Danijela, Haseeb Muhammad Abdul, Emami Damon, GrÃ¤ser Axel, Ä†iriÄ‡ Ivan, SimonoviÄ‡ MiloÅ¡, NikoliÄ‡ Vlastimir, NikoliÄ‡ Dragan, EÃŸer Florian, Schindler Christian Reliable Obstacle Detection for Smart Automation of Rail Transport published pages: 158-168, ISSN: , DOI: 10.18154/RWTH-2018-01320	Proceedings of the 1st International Railway Symposium Aachen	2019-10-03
2017	RistiÄ‡-Durrant Danijela, Haseeb Muhammad Abdul, Emami Damon, GrÃ¤ser Axel, NikoliÄ‡ Vlastimir, Ä†iriÄ‡ Ivan, BaniÄ‡ Milan, BrindiÄ‡ Branislav, NikoliÄ‡ Dragan, RadovanoviÄ‡ DuÅ¡an, EÃŸer Florian, Schindler Christian SMART concept of an integrated multi-sensory on-board system for obstacle recognition published pages: , ISSN: , DOI:	Proceedings of the 7th Transport Research Arena TRA 2018	2019-10-03

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The information about "SMART" are provided by the European Opendata Portal: CORDIS opendata.