Changes for page [REAKT] Project REAKTOR

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1 -[REAKT] WIP Project REAKTOR
1 +[REAKT] Project REAKTOR
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1 -Theses.Current Theses.WebHome
1 +Theses.Topics for Student 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 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.
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 +
3 3  == Overview of topics (WIP) ==
4 4  
5 -All solutions should be scalable for both demonstrators!
9 +**The solutions in all topics must be scalable for both demonstrators!**
6 6  
7 -~1. An end-user app and management system for on-demand train service [Maybe split into two topics]
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)//
8 8  
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
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
12 12  * Schedules for cooperative passenger pick up
13 -* Provisions for passenger transfer on open track
14 -* Either based on a central or decentralized communication concept
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
15 15  
16 -2. An autonomous train controller with risk analysis using STPA
21 +2. An autonomous train controller with risk analysis using STPA **[already reserved]**
17 17  
18 18  * Control of an autonomous passenger train model (conceptually working for both demonstrators)
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?
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]])
22 22  * Assumes preprocessed sensor input and destination determination (see other topics)
23 23  
24 -3. AI-based image recognition for autonomous train control [In cooperation with AG Distributed Systems]
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//
25 25  
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
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.
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 +)))
29 29  
30 -4. AI-based sensor processing for autonomous train control [In cooperation with AG Distributed Systems]
52 +4. Classic and AI-based distance sensing for autonomous train control using different sensors
53 +// This topic will be jointly advised with the AG Distributed Systems//
31 31  
55 +* Explore and evaluate the applica
56 +* Assess applicablilty of different sensors for use cases and ranges
32 32  * Sensor processing of train mounted LiDAR or ultrasonic sensor
58 +* Potential hardware (subject to changes):
59 +** [[https:~~/~~/www.elektronik-kompendium.de/sites/praxis/bauteil_ultrasonic-hcsr04p.htm>>https://www.elektronik-kompendium.de/sites/praxis/bauteil_ultrasonic-hcsr04p.htm]]
60 +** [[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]]
61 +** (((
62 +[[https:~~/~~/www.blickfeld.com/de/produkte/cube-1/>>https://www.blickfeld.com/de/produkte/cube-1/]]
63 +)))
33 33  * Obstacle detection at speeds up to 50 km/h
34 34  * Distance measuring (ultrasonic sensor)
35 35  
36 -5. A digital twin for an autonomous on-demand train service [Tight interfacing with other topics]
67 +5. A digital twin for an autonomous on-demand train service **[already reserved]**
68 +// Note: Tight interfacing with other topics//
37 37  
38 38  * A digital twin for an autonomous passenger train
39 39  * Monitoring system for the state and location of the vehicle
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
72 +* Remote control capabilities //(interfacing with controller)//
73 +* Monitoring and economic analysis of on-demand service operation (//integration/interfacing of management system//)
74 +* Reliability analysis/statistics to ensure transparency of autonomous operation
43 43  
76 +6. A standalone sensor box for monitoring rail vehicles
77 + //This prototype will be tested (only) using the full-scale demonstrator and is intended for monitoring non-autonomous vehicles (not the REAKTOR)//
78 +
79 +* Development of a sensor array to monitor rail vehicle operation
80 +* It should serve as a plugin solution inside the train's cockpit for monitoring operation and as preparation for autonomous control
81 +* Design for wireless communication of collected data
82 +* Possible sensors:
83 +** GPS
84 +** Accelerometer
85 +** Camera
86 +* Analysis of data for autonomous driving
87 +* Potential integration into digital twin infrastructure
88 +
44 44  == Goals ==
45 45  
46 46  * TBA for each topic individually
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52 52  == Related Work/Literature ==
53 53  
54 54  * https://reakt.sh/
100 +* [[https:~~/~~/www.schiene-m-l.de/>>https://www.schiene-m-l.de/)]]
55 55  
56 56  == Involved Languages/Technologies ==
57 57  
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