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 2024/09/30 08:25
on 2024/09/30 08:25
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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... ... @@ -1,107 +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 -{{info}} 8 -Kick-off meeting on Monday 7th Oct. at 10am in room 1115 CAP4 9 -{{/info}} 10 - 11 11 == Overview of topics (WIP) == 12 12 13 -**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] 14 14 15 -~1. An end-user app and management system for on-demand train service **[(partially) reserved]** 16 -// This topic may be split up into two theses (app & management)// 17 - 18 -* A mobile app to call a train to a desired location and communicate desired destination 19 -* Locations drawn from GNSS and appropriate abstraction for 1:32 scale for station-less entry or predefined locations 20 -* Management of multiple on-demand trains on a single track line 21 -* Schedules for cooperative passenger pick up 22 -* Provisions for passenger transfer on open track ("Begegnungsverkehr", see concept art [[here>>https://cloud.rz.uni-kiel.de/index.php/s/ZMZSoLTerJCJi7L]]) 23 -* The inter train communication concept maybe based on a central or decentralized structure 24 - 25 -2. An autonomous train controller with risk analysis using STPA **[already reserved]** 26 - 27 -* Control of an autonomous passenger train model (conceptually working for both demonstrators) 28 -* 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]]) 29 -* 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]]) 30 -* Safe behavior model generation using PASTA ([[https:~~/~~/marketplace.visualstudio.com/items?itemName=kieler.pasta>>https://marketplace.visualstudio.com/items?itemName=kieler.pasta]]) 31 -* Assumes preprocessed sensor input and destination determination (see other topics) 32 - 33 -3. AI-based obstacle detection for autonomous train control using image recognition 34 -// This topic will be jointly advised with the AG Distributed Systems// 35 - 36 -* Sensor processing of a train-mounted camera to detect objects (potential obstacles) 37 -* Tasks will involve: 38 -** Sensor mounting on the demonstrator 39 -** Collection of data (images, videos) 40 -** Labeling of data to enable training (esp. for small scale model) 41 -** Training of AI 42 -** Evaluation of quality 43 -** Live testing 44 -* Step-wise evaluation of the influence of vehicle speed on the detection quality 45 -* Evaluate applicability and influence of training data due to different environments for the demonstrators (i.e. indoors vs. outdoors) 46 -* (Optional) Trajectory detection to categorize safety threads of moving obstacles 47 -* (Optional) Evaluate performance on different hardware, e.g. Rasberry Pi vs. AI hardware 48 -* (Optional) Test and evaluate on the edge deployment 49 -* For interfacing with the controller, the sensor should provide an assessment how safe the area in front of the train is, such that the controller can adjust its speed. 50 -* Potential hardware (subject to changes): 51 -** [[https:~~/~~/www.raspberrypi.com/documentation/accessories/camera.html>>https://www.raspberrypi.com/documentation/accessories/camera.html]] 52 -** ((( 53 -[[https:~~/~~/www.axis.com/de-de/products/axis-p1455-le>>https://www.axis.com/de-de/products/axis-p1455-le]] 54 -))) 55 - 56 -4. Classic and AI-based distance sensing for autonomous train control using different sensors 57 -// This topic will be jointly advised with the AG Distributed Systems// 58 - 59 -* Explore and evaluate different sensors and processing techniques for distance measuring in rail vehicles 60 -* Compare quality, ranges, and reliability w.r.t speed and size (demonstrator) 61 -* Sensors and approaches: 62 -*1. Ultrasonic sensor 63 -*1. Single camera with AI image recognition 64 -*1. (Multiple cameras) 65 -*1. (LiDAR) 66 -*1. (Sensorfusion) 67 -* Potential hardware (subject to changes): 68 -** [[https:~~/~~/www.elektronik-kompendium.de/sites/praxis/bauteil_ultrasonic-hcsr04p.htm>>https://www.elektronik-kompendium.de/sites/praxis/bauteil_ultrasonic-hcsr04p.htm]] 69 -** [[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]] 70 -** ((( 71 -[[https:~~/~~/www.blickfeld.com/de/produkte/cube-1/>>https://www.blickfeld.com/de/produkte/cube-1/]] 72 -))) 73 - 74 -5. A digital twin for an autonomous on-demand train service **[already reserved]** 75 -// Note: Tight interfacing with other topics// 76 - 77 -* A digital twin for an autonomous passenger train 78 -* Monitoring system for the state and location of the vehicle 79 -* Simulation capabilities to test and replay behavior (virtual environment) 80 -* Monitoring and economic analysis of on-demand service operation (//integration/interfacing of management system//) 81 -* Reliability analysis/statistics to ensure transparency of autonomous operation 82 - 83 -6. Remote control for rail vehicles 84 -//Note: Tight interfacing with other topics// 85 - 86 -* Remote control of speed and brakes //(interfacing with controller)// 87 -* Live streaming of camera data and other sensors 88 -* Evaluation and setup of a wireless communication network with a high reliability 89 -* (Optional) Construction of a [[remote control panel>>https://cloud.rz.uni-kiel.de/index.php/s/jCxitwKzddqEctD]] 90 -* (Optional) Augmented reality integration to simulate training scenarios 91 - 92 -7. A standalone sensor box for monitoring rail vehicles **[already reserved]** 93 -//This prototype will be tested (only) using the full-scale demonstrator and is intended for monitoring non-autonomous vehicles (not the REAKTOR)// 94 - 95 -* Development of a sensor array to monitor rail vehicle operation 96 -* It should serve as a plugin solution inside the train's cockpit for monitoring operation and as preparation for autonomous control 97 -* Design for wireless communication of collected data 98 -* Possible sensors: 99 -** GPS 100 -** Accelerometer 101 -** Camera 102 -* Analysis of data for autonomous driving 103 -* Potential integration into digital twin infrastructure 104 - 105 105 == Goals == 106 106 107 107 * TBA for each topic individually ... ... @@ -108,12 +108,11 @@ 108 108 109 109 == Scope == 110 110 111 -Bachelor's or Master'sThesis, with varying requirements to scientific scope.17 +Bachelor's Thesis 112 112 113 113 == Related Work/Literature == 114 114 115 115 * https://reakt.sh/ 116 -* [[https:~~/~~/www.schiene-m-l.de/>>https://www.schiene-m-l.de/)]] 117 117 118 118 == Involved Languages/Technologies == 119 119
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