Changes for page [REAKT] Project REAKTOR
Last modified by Alexander Schulz-Rosengarten on 2024/10/09 15:19
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edited by Alexander Schulz-Rosengarten
on 2024/09/19 13:51
on 2024/09/19 13:51
edited by Alexander Schulz-Rosengarten
on 2024/09/10 13:27
on 2024/09/10 13:27
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... ... @@ -1,1 +1,1 @@ 1 -[REAKT] Project REAKTOR 1 +[REAKT] WIP Project REAKTOR - Parent
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... ... @@ -1,1 +1,1 @@ 1 -Theses. Topics for Student Theses.WebHome1 +Theses.Current Theses.WebHome - Content
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... ... @@ -1,89 +1,13 @@ 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 rail vehicle ,the**REAKTOR**,to flexibly provideon-demandservice on single track lines. A prototype will be build in 1:32 scalefor 45 mm gauge, as well as a full scale versionfor the railway track Malente-Lütjenburg.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 aber to flexibly provide service on single track lines. A prototype will be build in 1:32 scale as well as a full scale version. 2 2 3 -[[image:image-20240912102452-3.jpeg||height="219" width="292"]][[image:image-20240912102840-4.jpeg||height="217" width="264"]] 4 - 5 -//(left) a railbike, the foundation of the upcoming autonomous draisine & (right) a stripped down [[LGB>>https://www.lgb.de/lp/20/willkommen-bei-lgb]] engine for a 45mm model track.// 6 - 7 7 == Overview of topics (WIP) == 8 8 9 -**The solutions in all topics must be scalable for both demonstrators!** 5 +1. A digital twin for an autonomous on-demand train service 6 +2. An autonomous train controller with risk analysis using STPA 7 +3. A digital twin for an autonomous on-demand train service 8 +4. AI-based image recognition for autonomous train control [in cooperation with AG Distributed Systems] 9 +5. AI-based sensor processing for autonomous train control [in cooperation with AG Distributed Systems] 10 10 11 -~1. An end-user app and management system for on-demand train service 12 -// This topic may be split up into two theses (app & management)// 13 - 14 -* A mobile app to call a train to a desired location and communicate desired destination 15 -* Locations drawn from GNSS and appropriate abstraction for 1:32 scale for station-less entry or predefined locations 16 -* Management of multiple on-demand trains on a single track line 17 -* Schedules for cooperative passenger pick up 18 -* Provisions for passenger transfer on open track ("Begegnungsverkehr", see concept art [[here>>https://cloud.rz.uni-kiel.de/index.php/s/ZMZSoLTerJCJi7L]]) 19 -* The inter train communication concept maybe based on a central or decentralized structure 20 - 21 -2. An autonomous train controller with risk analysis using STPA **[already reserved]** 22 - 23 -* Control of an autonomous passenger train model (conceptually working for both demonstrators) 24 -* Capability for passenger transfer on open track (safe docking procedure; "Begegnungsverkehr", see concept art [[here>>https://cloud.rz.uni-kiel.de/index.php/s/ZMZSoLTerJCJi7L]]) 25 -* Risk analysis for the controller using STPA ([[http:~~/~~/psas.scripts.mit.edu/home/get_file.php?name=STPA_handbook.pdf>>url:http://psas.scripts.mit.edu/home/get_file.php?name=STPA_handbook.pdf]]) 26 -* Safe behavior model generation using PASTA ([[https:~~/~~/marketplace.visualstudio.com/items?itemName=kieler.pasta>>https://marketplace.visualstudio.com/items?itemName=kieler.pasta]]) 27 -* Assumes preprocessed sensor input and destination determination (see other topics) 28 - 29 -3. AI-based obstacle detection for autonomous train control using image recognition 30 -// This topic will be jointly advised with the AG Distributed Systems// 31 - 32 -* Sensor processing of a train mounted camera to detect objects (potential obstacles) 33 -* Tasks will involve: 34 -** Sensor mounting on the demonstrator 35 -** Collection of data (images, videos) 36 -** Labeling of data to enable training (esp. for small scale model) 37 -** Training of AI 38 -** Evaluation of quality 39 -** Live testing 40 -* Step-wise evaluation of the influence of vehicle speed on the detection quality 41 -* Evaluate the 42 -* (Optional) Trajectory detection to categorize safety threads of moving obstacles 43 -* (Optional) Evaluate performance on different hardware, e.g. Rasberry Pi vs. AI hardware 44 -* (Optional) Test and evaluate on the edge deployment 45 -* For interfacing with the controller the sensor should provide an assessment how safe the 46 -* Potential hardware (subject to changes): 47 -** [[https:~~/~~/www.raspberrypi.com/documentation/accessories/camera.html>>https://www.raspberrypi.com/documentation/accessories/camera.html]] 48 -** ((( 49 -[[https:~~/~~/www.axis.com/de-de/products/axis-p1455-le>>https://www.axis.com/de-de/products/axis-p1455-le]] 50 -))) 51 - 52 -4. AI-based sensor processing for autonomous train control 53 -// This topic will be jointly advised with the AG Distributed Systems// 54 - 55 -* Sensor processing of train mounted LiDAR or ultrasonic sensor 56 -* Potential hardware (subject to changes): 57 -** [[https:~~/~~/www.elektronik-kompendium.de/sites/praxis/bauteil_ultrasonic-hcsr04p.htm>>https://www.elektronik-kompendium.de/sites/praxis/bauteil_ultrasonic-hcsr04p.htm]] 58 -** [[https:~~/~~/www.pi-shop.ch/lidar-ld06-lidar-module-with-bracket-entwicklungskit-fuer-raspberry-pi-sbc>>https://www.pi-shop.ch/lidar-ld06-lidar-module-with-bracket-entwicklungskit-fuer-raspberry-pi-sbc]] 59 -** ((( 60 -[[https:~~/~~/www.blickfeld.com/de/produkte/cube-1/>>https://www.blickfeld.com/de/produkte/cube-1/]] 61 -))) 62 -* Obstacle detection at speeds up to 50 km/h 63 -* Distance measuring (ultrasonic sensor) 64 - 65 -5. A digital twin for an autonomous on-demand train service **[already reserved]** 66 -// Note: Tight interfacing with other topics// 67 - 68 -* A digital twin for an autonomous passenger train 69 -* Monitoring system for the state and location of the vehicle 70 -* Remote control capabilities //(interfacing with controller)// 71 -* Monitoring and economic analysis of on-demand service operation (//integration/interfacing of management system//) 72 -* Reliability analysis/statistics to ensure transparency of autonomous operation 73 - 74 -6. A standalone sensor box for monitoring rail vehicles 75 - //This prototype will be tested (only) using the full-scale demonstrator and is intended for monitoring non-autonomous vehicles (not the REAKTOR)// 76 - 77 -* Development of a sensor array to monitor rail vehicle operation 78 -* It should serve as a plugin solution inside the train's cockpit for monitoring operation and as preparation for autonomous control 79 -* Design for wireless communication of collected data 80 -* Possible sensors: 81 -** GPS 82 -** Accelerometer 83 -** Camera 84 -* Analysis of data for autonomous driving 85 -* Potential integration into digital twin infrastructure 86 - 87 87 == Goals == 88 88 89 89 * TBA for each topic individually ... ... @@ -90,12 +90,11 @@ 90 90 91 91 == Scope == 92 92 93 -Bachelor's or Master'sThesis, with varying requirements to scientific scope.17 +Bachelor's Thesis 94 94 95 95 == Related Work/Literature == 96 96 97 97 * https://reakt.sh/ 98 -* [[https:~~/~~/www.schiene-m-l.de/>>https://www.schiene-m-l.de/)]] 99 99 100 100 == Involved Languages/Technologies == 101 101
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