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edited by Alexander Schulz-Rosengarten
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edited by Alexander Schulz-Rosengarten
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1 -Theses.Topics for Student Theses.WebHome
1 +Theses.Current Theses.WebHome
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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.
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 must be scalable 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)//
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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 obstacle detection for autonomous train control using image recognition
29 +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 and AI-based distance sensing for autonomous train control using different sensors
41 +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
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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