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 2024/09/10 13:27
on 2024/09/10 13:27
edited by Alexander Schulz-Rosengarten
on 2024/09/30 08:25
on 2024/09/30 08:25
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... ... @@ -1,1 +1,1 @@ 1 -[REAKT] WIPProject REAKTOR1 +[REAKT] Project REAKTOR - Parent
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... ... @@ -1,1 +1,1 @@ 1 -Theses. Current Theses.WebHome1 +Theses.Topics for Student Theses.WebHome - Content
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... ... @@ -1,13 +1,107 @@ 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-demandrail vehicleaberto flexibly provide service on single track lines. A prototype will be build in 1:32 scale as well as a full scale version.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 provide on-demand service on single track lines. A prototype will be build in 1:32 scale for 45 mm gauge, as well as a full scale version for the railway track Malente-Lütjenburg. 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 + 3 3 == Overview of topics (WIP) == 4 4 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] 13 +**The solutions in all topics must be scalable for both demonstrators!** 10 10 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 + 11 11 == Goals == 12 12 13 13 * TBA for each topic individually ... ... @@ -14,11 +14,12 @@ 14 14 15 15 == Scope == 16 16 17 -Bachelor's Thesis 111 +Bachelor's or Master's Thesis, with varying requirements to scientific scope. 18 18 19 19 == Related Work/Literature == 20 20 21 21 * https://reakt.sh/ 116 +* [[https:~~/~~/www.schiene-m-l.de/>>https://www.schiene-m-l.de/)]] 22 22 23 23 == Involved Languages/Technologies == 24 24
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