Wiki source code of [REAKT] WIP Project REAKTOR
Version 23.2 by Alexander Schulz-Rosengarten on 2024/09/12 08:29
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20.1 | 1 | The REAKT project (https://reakt.sh/ & https://www.schiene-m-l.de/) aims at developing new mobility concepts to reactivate rural rail lines. This project will evolve around developing an autonomous on-demand rail vehicle to flexibly provide service on single track lines. A prototype will be build in 1:32 scale as well as a full scale version. |
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1.1 | 2 | |
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23.2 | 3 | [[image:image-20240912102452-3.jpeg||height="219" width="292"]][[image:image-20240912102840-4.jpeg||height="217" width="264"]] |
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17.1 | 5 | == Overview of topics (WIP) == |
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4.1 | 6 | |
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17.2 | 7 | All solutions should be scalable for both demonstrators! |
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21.1 | 9 | ~1. An end-user app and management system for on-demand train service [Maybe split into two topics] |
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17.2 | 10 | |
| 11 | * App to call a train to a desired location and communicate desired destination | ||
| 12 | * Locations drawn from GNSS and appropriate abstraction in 1:32 scale | ||
| 13 | * Management of multiple trains on a single track line | ||
| 14 | * Schedules for cooperative passenger pick up | ||
| 15 | * Provisions for passenger transfer on open track | ||
| 16 | * Either based on a central or decentralized communication concept | ||
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17.1 | 18 | 2. An autonomous train controller with risk analysis using STPA |
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17.2 | 20 | * Control of an autonomous passenger train model (conceptually working for both demonstrators) |
| 21 | * Capability for passenger transfer on open track (safe docking procedure) | ||
| 22 | * Risk analysis for the controller using STPA | ||
| 23 | * Safe behavior model generation using PASTA? | ||
| 24 | * Assumes preprocessed sensor input and destination determination (see other topics) | ||
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22.1 | 26 | 3. AI-based image recognition for autonomous train control [In cooperation with AG Distributed Systems] |
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17.2 | 27 | |
| 28 | * Sensor processing of a train mounted camera | ||
| 29 | * Obstacle detection at speeds up to 50 km/h | ||
| 30 | * [Optional] Distance measuring using multiple cameras | ||
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22.1 | 32 | 4. AI-based sensor processing for autonomous train control [In cooperation with AG Distributed Systems] |
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17.2 | 33 | |
| 34 | * Sensor processing of train mounted LiDAR or ultrasonic sensor | ||
| 35 | * Obstacle detection at speeds up to 50 km/h | ||
| 36 | * Distance measuring (ultrasonic sensor) | ||
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22.2 | 38 | 5. A digital twin for an autonomous on-demand train service [Tight interfacing with other topics] |
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17.2 | 39 | |
| 40 | * A digital twin for an autonomous passenger train | ||
| 41 | * Monitoring system for the state and location of the vehicle | ||
| 42 | * Remote control capabilities | ||
| 43 | * Monitoring and economic analysis of on-demand service operation [Integration of management system] | ||
| 44 | * Reliability analysis to ensure transparency of autonomous operation | ||
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15.1 | 46 | == Goals == |
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1.1 | 47 | |
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17.1 | 48 | * TBA for each topic individually |
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1.1 | 49 | |
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15.1 | 50 | == Scope == |
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1.1 | 51 | |
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23.1 | 52 | Bachelor's or Master's Thesis, with varying requirements to scientific scope. |
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1.1 | 53 | |
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15.1 | 54 | == Related Work/Literature == |
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1.1 | 55 | |
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14.1 | 56 | * https://reakt.sh/ |
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1.1 | 57 | |
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15.1 | 58 | == Involved Languages/Technologies == |
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1.1 | 59 | |
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17.1 | 60 | * TBA for each topic individually |
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1.1 | 61 | |
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15.1 | 62 | == Supervised by == |
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1.1 | 63 | |
| 64 | Alexander Schulz-Rosengarten | ||
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14.1 | 65 | [[als@informatik.uni-kiel.de>>mailto:als@informatik.uni-kiel.de]] |