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1 -[REAKT] Project REAKTOR
1 +[REAKT] WIP Project REAKTOR
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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. 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 +All solutions should be scalable for both demonstrators!
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)//
7 +~1. An end-user app and management system for on-demand train service [Maybe split into two topics]
13 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
9 +* App to call a train to a desired location and communicate desired destination
10 +* Locations drawn from GNSS and appropriate abstraction in 1:32 scale
11 +* Management of multiple trains on a single track line
17 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
13 +* Provisions for passenger transfer on open track
14 +* Either based on a central or decentralized communication concept
20 20  
21 -2. An autonomous train controller with risk analysis using STPA **[already reserved]**
16 +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 -* 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]])
19 +* Capability for passenger transfer on open track (safe docking procedure)
20 +* Risk analysis for the controller using STPA
21 +* Safe behavior model generation using 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
30 -// This topic will be jointly advised with the AG Distributed Systems//
24 +3. AI-based image recognition for autonomous train control [In cooperation with 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 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 -)))
26 +* Sensor processing of a train mounted camera
27 +* Obstacle detection at speeds up to 50 km/h
28 +* [Optional] Distance measuring using multiple cameras
51 51  
52 -4. AI-based sensor processing for autonomous train control
53 -// This topic will be jointly advised with the AG Distributed Systems//
30 +4. AI-based sensor processing for autonomous train control [In cooperation with AG Distributed Systems]
54 54  
55 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 62  * Obstacle detection at speeds up to 50 km/h
63 63  * Distance measuring (ultrasonic sensor)
64 64  
65 -5. A digital twin for an autonomous on-demand train service **[already reserved]**
66 -// Note: Tight interfacing with other topics//
36 +5. A digital twin for an autonomous on-demand train service [Tight interfacing with other topics]
67 67  
68 68  * A digital twin for an autonomous passenger train
69 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
40 +* Remote control capabilities
41 +* Monitoring and economic analysis of on-demand service operation [Integration of management system]
42 +* Reliability analysis to ensure transparency of autonomous operation
73 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
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90 90  
91 91  == Scope ==
92 92  
93 -Bachelor's or Master's Thesis, with varying requirements to scientific scope.
50 +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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