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.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcontrol systems
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensors
- social sciencessociologyindustrial relationsautomation
- natural sciencescomputer and information sciencessoftwaresoftware development
- natural sciencesphysical sciencesopticslaser physics
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Programme(s)
Call for proposal
(opens in new window) H2020-S2RJU-2015-01
See other projects for this callSub call
H2020-S2RJU-OC-2015-01-2
Funding Scheme
Shift2Rail-RIA - Research and Innovation actionCoordinator
28359 Bremen
Germany