Objective
REOST offers a new concept of railway safety through an observation, warning and decision control/support system to prevent derailing or other accidents. The core objective of REOST is to identify railway obstacles through optical sensing and fast Image Processing to follow operational action fast enough before reaching the obstacle location. REOST will trigger application and technical problem challenges in the field of Optical Sensing, fast Image Processing and automated response actions. Currently, there are no vision warning systems available in railway transport. Innovations in implementing the system relate to fast software based Image processing, day and night Optical sensing, automated decision control/support for fast response, use of communication means and integration between all subsystems. The REOST approach incorporates research into objects and obstacle definitions, Optical sensing to identify these obstacles, and fast Image Processing for automated decision support and action.
Objectives:
The objectives of REOST will be to perform the following:
1. Optical sensing recognition and identification system, assembled on the train front;
2. Safety requirements research and analysis to define objects measurement, object type or railway disorder character that will be categorised as a railway obstacle, thus imposing intervention on the train movement process;
3. Intervention process definition for each obstacle classification;
4. Wireless Image transmission process to a Control centre;
5. Option for Automated Decision Control/Support System;
6. Obstacle recognition at a minimum distance of 1,500 meters from the obstacle location;
7. Fast Response time (Maximum 12 seconds), which enables the right automated or manual action item long enough before crossing the railway obstacle.
Work description:
First, the consortium handles the User Requirements and System Specifications including Safety Analysis, Architecture and Design. A quantitative risk assessment is performed: railway accidents and relevant causes are identified, together with the possible options for obstacles on the track. Strategies for risk reduction and RAMS objectives are identified. On the basis of the analysis of the User Needs the performance, parameters and characteristics of the systems are specified. According to the above specifications, the system architecture is determined and the system is designed. The core of the project includes the development of the optical module and of the software for image and data processing. Then, system integration and interfacing with the train communication system are performed, together with appropriate development of Human Computer Interface. Testing is performed both in-house and on the field. Field tests are arranged in two phases in order to implement in the second phase the improvements suggested by the results of the first phase, on the optical module and on the image processing software. Dissemination, exploitation and evaluation of the project results are dealt with in the respective workpackages.
Milestones:
1. Management & Coordination Programme. Results: Contribution to the design review;
2. Safety and Risk Analysis. Results: Safety and risk information;
3. System Specifications. Results: Specs;
4. Assessment of the project progress status (detailed view). Results: Inception Report;
5. System Architecture and Design. Results: System Architecture;
6. System developed modules. Results: Optical modules, Image Processing and associated features;
7. Integrated system. Results: First Integrated System;
8. Field Pilot tests reports. Results: Reports;
9. Dissemination and Exploitation Programme. Results: Detailed Programme;
10. Annual Evaluation Report.
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: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences software
- natural sciences computer and information sciences data science data processing
You need to log in or register to use this function
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Data not available
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
16126 GENOVA
Italy
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.