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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 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.
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	+
7	7	== Overview of topics (WIP) ==
8	8
9		-**The solutions in all topics must be scalable for both demonstrators!**
	13	+**The solutions in all topics 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)//
	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)//
13	13
14	14	* A mobile app to call a train to a desired location and communicate desired destination
15	15	* Locations drawn from GNSS and appropriate abstraction for 1:32 scale for station-less entry or predefined locations
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29	29	3. AI-based obstacle detection for autonomous train control using image recognition
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)
	36	+* Sensor processing of a train-mounted camera to detect objects (potential obstacles)
33	33	* Tasks will involve:
34	34	** Sensor mounting on the demonstrator
35	35	** Collection of data (images, videos)
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38	38	** Evaluation of quality
39	39	** Live testing
40	40	* Step-wise evaluation of the influence of vehicle speed on the detection quality
41		-* Evaluate the
	45	+* Evaluate applicability and influence of training data due to different environments for the demonstrators (i.e. indoors vs. outdoors)
42	42	* (Optional) Trajectory detection to categorize safety threads of moving obstacles
43	43	* (Optional) Evaluate performance on different hardware, e.g. Rasberry Pi vs. AI hardware
44	44	* (Optional) Test and evaluate on the edge deployment
45		-* For interfacing with the controller the sensor should provide an assessment how safe the
	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.
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	** (((
...	...	@@ -49,10 +49,17 @@
49	49	[[https:~~/~~/www.axis.com/de-de/products/axis-p1455-le>>https://www.axis.com/de-de/products/axis-p1455-le]]
50	50	)))
51	51
52		-4. AI-based sensor processing for autonomous train control
	56	+4. Classic and AI-based distance sensing for autonomous train control using different sensors **[already reserved]**
53	53	// This topic will be jointly advised with the AG Distributed Systems//
54	54
55		-* Sensor processing of train mounted LiDAR or ultrasonic sensor
	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)
56	56	* Potential hardware (subject to changes):
57	57	** [[https:~~/~~/www.elektronik-kompendium.de/sites/praxis/bauteil_ultrasonic-hcsr04p.htm>>https://www.elektronik-kompendium.de/sites/praxis/bauteil_ultrasonic-hcsr04p.htm]]
58	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]]
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59	59	** (((
60	60	[[https:~~/~~/www.blickfeld.com/de/produkte/cube-1/>>https://www.blickfeld.com/de/produkte/cube-1/]]
61	61	)))
62		-* Obstacle detection at speeds up to 50 km/h
63		-* Distance measuring (ultrasonic sensor)
64	64
65	65	5. A digital twin for an autonomous on-demand train service **[already reserved]**
66	66	// Note: Tight interfacing with other topics//
67	67
68	68	* A digital twin for an autonomous passenger train
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
	78	+* A virtual rebuild of the track using an 3D engine (i.e. [[Unreal Engine>>https://www.unrealengine.com]])
	79	+* Simulation capabilities to test and replay behavior (virtual environment)
	80	+* (Optional) Monitoring system for the state and location of the real vehicle
	81	+* (Optional) Monitoring and economic analysis of on-demand service operation (//integration/interfacing of management system//)
	82	+* (Optional) Reliability analysis/statistics 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)//
	84	+6. Remote control for rail vehicles
	85	+//This topic will be jointly advised with the AG Distributed Systems//
	86	+//Note: Tight interfacing with other topics//
76	76
	88	+* Remote control of speed and brakes //(interfacing with controller)//
	89	+* Live streaming of camera data and other sensors
	90	+* Evaluation and setup of a wireless communication network with a high reliability
	91	+* (Optional) Construction of a [[remote control panel>>https://cloud.rz.uni-kiel.de/index.php/s/jCxitwKzddqEctD]]
	92	+* (Optional) Augmented reality integration to simulate training scenarios
	93	+
	94	+7. A standalone sensor box for monitoring rail vehicles **[already reserved]**
	95	+//This prototype will be tested (only) using the full-scale demonstrator and is intended for monitoring non-autonomous vehicles (not the REAKTOR)//
	96	+
77	77	* Development of a sensor array to monitor rail vehicle operation
78	78	* It should serve as a plugin solution inside the train's cockpit for monitoring operation and as preparation for autonomous control
79	79	* Design for wireless communication of collected data
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90	90
91	91	== Scope ==
92	92
93		-Bachelor's or Master's Thesis, with varying requirements to scientific scope.
	113	+Bachelor's or Master's Thesis, or Master's Project, with varying requirements to scientific scope.
94	94
95	95	== Related Work/Literature ==
96	96