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SMART SIGNED

Smart Automation of Rail Transport

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EC-Contrib. €

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Partnership

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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 DE (BREMEN) coordinator 460˙223.00
2    UNIVERZITET U NISU RS (NIS) participant 219˙375.00
3    RHEINISCH-WESTFAELISCHE TECHNISCHE HOCHSCHULE AACHEN DE (AACHEN) participant 140˙000.00
4    HARDER DIGITAL SOVA D.O.O. NIS RS (NIS) participant 90˙000.00
5    TECHNICAL UNIVERSITY OF SOFIA 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

year authors and title journal last update
List of publications.
2018 Nikola VITKOVIĆ, Miloš SIMONOVIĆ, Aleksandar MILTENOVIĆ, Dušan STAMENKOVIĆ, Milan BANIĆ
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 RISTIĆ-DURRANT, Muhammad ABDUL HASEEB, Milan BANIĆ, Dušan STAMENKOVIĆ, Miloš SIMONOVIĆ, Ivan ĆIRIĆ, Vlastimir NIKOLIĆ, Dragan NIKOLIĆ, Dušan RADOVANOVIĆ
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 Banić, Dušan Stamenković, Aleksandar Miltenović, Miloš Simonović, Miloš Milošević
DESIGN OF HOUSING AND VIBRATION SUPPRESSION FOR OBSTACLE DETECTION SYSTEM IN RAILWAYS
published pages: , ISSN: , DOI:
24th INTERNATIONAL CONFERENCE “CURRENT PROBLEMS IN RAIL VEHICLES” - PRORAIL 2019 2020-01-30
2019 Haseeb M.A., Ristić-Durrant D., Gräser, 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 Ristić-Durrant, Axel Gräser
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 Banić, Aleksandar Miltenović, Milan Pavlović, Ivan Ćirić
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 Ristić-Durrant Danijela, Haseeb Muhammad Abdul, Emami Damon, Gräser Axel, Ćirić Ivan, Simonović Miloš, Nikolić Vlastimir, Nikolić Dragan, Eßer 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 Ristić-Durrant Danijela, Haseeb Muhammad Abdul, Emami Damon, Gräser Axel, Nikolić Vlastimir, Ćirić Ivan, Banić Milan, Brindić Branislav, Nikolić Dragan, Radovanović Dušan, Eßer 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.

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