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...	...	@@ -26,34 +26,21 @@
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	49	[[https:~~/~~/www.axis.com/de-de/products/axis-p1455-le>>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 the applica
56		-* Assess applicablilty of different sensors for use cases and ranges
57	57	* Sensor processing of train mounted LiDAR or ultrasonic sensor
58	58	* Potential hardware (subject to changes):
59	59	** [[https:~~/~~/www.elektronik-kompendium.de/sites/praxis/bauteil_ultrasonic-hcsr04p.htm>>https://www.elektronik-kompendium.de/sites/praxis/bauteil_ultrasonic-hcsr04p.htm]]
...	...	@@ -74,15 +74,16 @@
74	74	* Reliability analysis/statistics to ensure transparency of autonomous operation
75	75
76	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)//
	64	+ //This prototype will be tested (only) using the full-scale demonstrator and is intended for monitoring non-autonomous vehicles (not the REAKTOR)//
78	78
79	79	* Development of a sensor array to monitor rail vehicle operation
80	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
	68	+* Wireless communication of collected data
82	82	* Possible sensors:
83	83	** GPS
84	84	** Accelerometer
85	85	** Camera
	73	+** (LiDAR)
86	86	* Analysis of data for autonomous driving
87	87	* Potential integration into digital twin infrastructure
88	88