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From version < 37.2 >
edited by Reinhard von Hanxleden
on 2024/10/01 08:16
To version < 31.2 >
edited by Alexander Schulz-Rosengarten
on 2024/09/19 13:43
>
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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 built 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 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 3  [[image:image-20240912102452-3.jpeg||height="219" width="292"]][[image:image-20240912102840-4.jpeg||height="217" width="264"]]
4 4  
5 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 6  
7 -{{info}}
8 -Kick-off meeting on Monday 7th Oct. at 10am in room 1115 CAP4
9 -{{/info}}
10 -
11 11  == Overview of topics (WIP) ==
12 12  
13 -**The solutions in all topics should be scalable for both demonstrators!**
9 +**The solutions in all topics must be scalable for both demonstrators!**
14 14  
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/project participants (app & management)//
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)//
17 17  
18 18  * A mobile app to call a train to a desired location and communicate desired destination
19 19  * Locations drawn from GNSS and appropriate abstraction for 1:32 scale for station-less entry or predefined locations
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33 33  3. AI-based obstacle detection for autonomous train control using image recognition
34 34  // This topic will be jointly advised with the AG Distributed Systems//
35 35  
36 -* Sensor processing of a train-mounted camera to detect objects (potential obstacles)
32 +* Sensor processing of a train mounted camera to detect objects (potential obstacles)
37 37  * Tasks will involve:
38 38  ** Sensor mounting on the demonstrator
39 39  ** Collection of data (images, videos)
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40 40  ** Labeling of data to enable training (esp. for small scale model)
41 41  ** Training of AI
42 42  ** Evaluation of quality
43 -** Live testing
44 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.
40 +*
41 +*
50 50  * Potential hardware (subject to changes):
51 51  ** [[https:~~/~~/www.raspberrypi.com/documentation/accessories/camera.html>>https://www.raspberrypi.com/documentation/accessories/camera.html]]
52 52  ** (((
... ... @@ -53,17 +53,10 @@
53 53  [[https:~~/~~/www.axis.com/de-de/products/axis-p1455-le>>https://www.axis.com/de-de/products/axis-p1455-le]]
54 54  )))
55 55  
56 -4. Classic and AI-based distance sensing for autonomous train control using different sensors **[already reserved]**
48 +4. AI-based sensor processing for autonomous train control
57 57  // This topic will be jointly advised with the AG Distributed Systems//
58 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)
51 +* Sensor processing of train mounted LiDAR or ultrasonic sensor
67 67  * Potential hardware (subject to changes):
68 68  ** [[https:~~/~~/www.elektronik-kompendium.de/sites/praxis/bauteil_ultrasonic-hcsr04p.htm>>https://www.elektronik-kompendium.de/sites/praxis/bauteil_ultrasonic-hcsr04p.htm]]
69 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]]
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70 70  ** (((
71 71  [[https:~~/~~/www.blickfeld.com/de/produkte/cube-1/>>https://www.blickfeld.com/de/produkte/cube-1/]]
72 72  )))
58 +* Obstacle detection at speeds up to 50 km/h
59 +* Distance measuring (ultrasonic sensor)
73 73  
74 74  5. A digital twin for an autonomous on-demand train service **[already reserved]**
75 75  // Note: Tight interfacing with other topics//
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76 76  
77 77  * A digital twin for an autonomous passenger train
78 78  * Monitoring system for the state and location of the vehicle
79 -* Simulation capabilities to test and replay behavior (virtual environment)
66 +* Remote control capabilities //(interfacing with controller)//
80 80  * Monitoring and economic analysis of on-demand service operation (//integration/interfacing of management system//)
81 81  * Reliability analysis/statistics to ensure transparency of autonomous operation
82 82  
83 -6. Remote control for rail vehicles
84 -//Note: Tight interfacing with other topics//
70 +6. A standalone sensor box for monitoring rail vehicles
71 + //This prototype will be tested (only) using the full-scale demonstrator and is intended for monitoring non-autonomous vehicles (not the REAKTOR)//
85 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 95  * Development of a sensor array to monitor rail vehicle operation
96 96  * It should serve as a plugin solution inside the train's cockpit for monitoring operation and as preparation for autonomous control
97 97  * Design for wireless communication of collected data
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108 108  
109 109  == Scope ==
110 110  
111 -Bachelor's or Master's Thesis, or Master's Project, with varying requirements to scientific scope.
89 +Bachelor's or Master's Thesis, with varying requirements to scientific scope.
112 112  
113 113  == Related Work/Literature ==
114 114