Wiki source code of [REAKT] WIP Project REAKTOR
Version 22.2 by Reinhard von Hanxleden on 2024/09/11 12:24
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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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17.1 | 3 | == Overview of topics (WIP) == |
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4.1 | 4 | |
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17.2 | 5 | All solutions should be scalable for both demonstrators! |
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21.1 | 7 | ~1. An end-user app and management system for on-demand train service [Maybe split into two topics] |
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17.2 | 8 | |
| 9 | * App to call a train to a desired location and communicate desired destination | ||
| 10 | * Locations drawn from GNSS and appropriate abstraction in 1:32 scale | ||
| 11 | * Management of multiple trains on a single track line | ||
| 12 | * Schedules for cooperative passenger pick up | ||
| 13 | * Provisions for passenger transfer on open track | ||
| 14 | * Either based on a central or decentralized communication concept | ||
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17.1 | 16 | 2. An autonomous train controller with risk analysis using STPA |
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17.2 | 18 | * Control of an autonomous passenger train model (conceptually working for both demonstrators) |
| 19 | * Capability for passenger transfer on open track (safe docking procedure) | ||
| 20 | * Risk analysis for the controller using STPA | ||
| 21 | * Safe behavior model generation using PASTA? | ||
| 22 | * Assumes preprocessed sensor input and destination determination (see other topics) | ||
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22.1 | 24 | 3. AI-based image recognition for autonomous train control [In cooperation with AG Distributed Systems] |
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17.2 | 25 | |
| 26 | * Sensor processing of a train mounted camera | ||
| 27 | * Obstacle detection at speeds up to 50 km/h | ||
| 28 | * [Optional] Distance measuring using multiple cameras | ||
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22.1 | 30 | 4. AI-based sensor processing for autonomous train control [In cooperation with AG Distributed Systems] |
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17.2 | 31 | |
| 32 | * Sensor processing of train mounted LiDAR or ultrasonic sensor | ||
| 33 | * Obstacle detection at speeds up to 50 km/h | ||
| 34 | * Distance measuring (ultrasonic sensor) | ||
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22.2 | 36 | 5. A digital twin for an autonomous on-demand train service [Tight interfacing with other topics] |
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17.2 | 37 | |
| 38 | * A digital twin for an autonomous passenger train | ||
| 39 | * Monitoring system for the state and location of the vehicle | ||
| 40 | * Remote control capabilities | ||
| 41 | * Monitoring and economic analysis of on-demand service operation [Integration of management system] | ||
| 42 | * Reliability analysis to ensure transparency of autonomous operation | ||
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15.1 | 44 | == Goals == |
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1.1 | 45 | |
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17.1 | 46 | * TBA for each topic individually |
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1.1 | 47 | |
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15.1 | 48 | == Scope == |
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1.1 | 49 | |
| 50 | Bachelor's Thesis | ||
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15.1 | 52 | == Related Work/Literature == |
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1.1 | 53 | |
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14.1 | 54 | * https://reakt.sh/ |
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1.1 | 55 | |
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15.1 | 56 | == Involved Languages/Technologies == |
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1.1 | 57 | |
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17.1 | 58 | * TBA for each topic individually |
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1.1 | 59 | |
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15.1 | 60 | == Supervised by == |
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1.1 | 61 | |
| 62 | Alexander Schulz-Rosengarten | ||
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14.1 | 63 | [[als@informatik.uni-kiel.de>>mailto:als@informatik.uni-kiel.de]] |