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 14:28
on 2024/09/19 14:28
edited by Alexander Schulz-Rosengarten
on 2024/09/12 09:14
on 2024/09/12 09:14
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... ... @@ -1,1 +1,1 @@ 1 -Theses. Topics for Student Theses.WebHome1 +Theses.Current Theses.WebHome - Content
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... ... @@ -1,12 +1,12 @@ 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 version for 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 to flexibly provide service on single track lines. The **REAKTOR**. A prototype will be build in 1:32 scale, as well as a full scale version for the railway track Malente-Lütjenburg. 2 2 3 3 [[image:image-20240912102452-3.jpeg||height="219" width="292"]][[image:image-20240912102840-4.jpeg||height="217" width="264"]] 4 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.// 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 in for a 45mm model track.// 6 6 7 7 == Overview of topics (WIP) == 8 8 9 -**The solutions in all topics mustbescalable for both demonstrators!**9 +**The solutions in all topics should scalable for both demonstrators!** 10 10 11 11 ~1. An end-user app and management system for on-demand train service 12 12 // This topic may be split up into two theses (app & management)// ... ... @@ -18,7 +18,7 @@ 18 18 * Provisions for passenger transfer on open track ("Begegnungsverkehr", see concept art [[here>>https://cloud.rz.uni-kiel.de/index.php/s/ZMZSoLTerJCJi7L]]) 19 19 * The inter train communication concept maybe based on a central or decentralized structure 20 20 21 -2. An autonomous train controller with risk analysis using STPA **[already reserved]**21 +2. An autonomous train controller with risk analysis using STPA 22 22 23 23 * Control of an autonomous passenger train model (conceptually working for both demonstrators) 24 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]]) ... ... @@ -26,49 +26,33 @@ 26 26 * Safe behavior model generation using PASTA ([[https:~~/~~/marketplace.visualstudio.com/items?itemName=kieler.pasta>>https://marketplace.visualstudio.com/items?itemName=kieler.pasta]]) 27 27 * Assumes preprocessed sensor input and destination determination (see other topics) 28 28 29 -3. AI-based obstacledetection for autonomous train controlusing image recognition29 +3. AI-based image recognition for autonomous train control 30 30 // This topic will be jointly advised with the AG Distributed Systems// 31 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 applicability and influence of training data due to different environments for the demonstrators (i.e. indoors vs. outdoors) 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 area in front of the train is, such that the controller can adjust its speed. 32 +* Sensor processing of a train mounted camera 33 +* Obstacle detection at speeds up to 50 km/h 46 46 * Potential hardware (subject to changes): 47 47 ** [[https:~~/~~/www.raspberrypi.com/documentation/accessories/camera.html>>https://www.raspberrypi.com/documentation/accessories/camera.html]] 48 48 ** ((( 49 - [[https:~~/~~/www.axis.com/de-de/products/axis-p1455-le>>https://www.axis.com/de-de/products/axis-p1455-le]]37 +https:~/~/www.axis.com/de-de/products/axis-p1455-le 50 50 ))) 39 +* [Optional] Distance measuring using multiple cameras 51 51 52 -4. Classic andAI-baseddistanceensing for autonomous train controlusing different sensors41 +4. AI-based sensor processing for autonomous train control 53 53 // This topic will be jointly advised with the AG Distributed Systems// 54 54 55 -* Explore and evaluate different sensors and processing techniques for distance measuring in rail vehicles 56 -* Compare quality, ranges, and reliability w.r.t speed and size (demonstrator) 57 -* Sensors and approaches: 58 -*1. Ultrasonic sensor 59 -*1. Single camera with AI image recognition 60 -*1. (Multiple cameras) 61 -*1. (LiDAR) 62 -*1. (Sensorfusion) 44 +* Sensor processing of train mounted LiDAR or ultrasonic sensor 63 63 * Potential hardware (subject to changes): 64 64 ** [[https:~~/~~/www.elektronik-kompendium.de/sites/praxis/bauteil_ultrasonic-hcsr04p.htm>>https://www.elektronik-kompendium.de/sites/praxis/bauteil_ultrasonic-hcsr04p.htm]] 65 65 ** [[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]] 66 66 ** ((( 67 - [[https:~~/~~/www.blickfeld.com/de/produkte/cube-1/>>https://www.blickfeld.com/de/produkte/cube-1/]]49 +https:~/~/www.blickfeld.com/de/produkte/cube-1/ 68 68 ))) 51 +* Obstacle detection at speeds up to 50 km/h 52 +* Distance measuring (ultrasonic sensor) 69 69 70 -5. A digital twin for an autonomous on-demand train service **[already reserved]**71 -// Note: Tight interfacing with other topics// 54 +5. A digital twin for an autonomous on-demand train service 55 + // Note: Tight interfacing with other topics// 72 72 73 73 * A digital twin for an autonomous passenger train 74 74 * Monitoring system for the state and location of the vehicle ... ... @@ -76,19 +76,6 @@ 76 76 * Monitoring and economic analysis of on-demand service operation (//integration/interfacing of management system//) 77 77 * Reliability analysis/statistics to ensure transparency of autonomous operation 78 78 79 -6. A standalone sensor box for monitoring rail vehicles 80 - //This prototype will be tested (only) using the full-scale demonstrator and is intended for monitoring non-autonomous vehicles (not the REAKTOR)// 81 - 82 -* Development of a sensor array to monitor rail vehicle operation 83 -* It should serve as a plugin solution inside the train's cockpit for monitoring operation and as preparation for autonomous control 84 -* Design for wireless communication of collected data 85 -* Possible sensors: 86 -** GPS 87 -** Accelerometer 88 -** Camera 89 -* Analysis of data for autonomous driving 90 -* Potential integration into digital twin infrastructure 91 - 92 92 == Goals == 93 93 94 94 * TBA for each topic individually