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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)
	32	+* 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)
...	...	@@ -36,13 +36,9 @@
36	36	** Labeling of data to enable training (esp. for small scale model)
37	37	** Training of AI
38	38	** Evaluation of quality
39		-** Live testing
40	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.
	40	+*
	41	+*
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	** (((
...	...	@@ -49,17 +49,10 @@
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. Classic and AI-based distance sensing for autonomous train control using different sensors
	48	+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 different sensors and processing techniques for distance measuring in rail vehicles
56		-* Compare quality, ranges, and reliability w.r.t speed and size (demonstrator)
57		-* Sensors and approaches:
58		-*1. Ultrasonic sensor
59		-*1. Single camera with AI image recognition
60		-*1. (Multiple cameras)
61		-*1. (LiDAR)
62		-*1. (Sensorfusion)
	51	+* Sensor processing of train mounted LiDAR or ultrasonic sensor
63	63	* Potential hardware (subject to changes):
64	64	** [[https:~~/~~/www.elektronik-kompendium.de/sites/praxis/bauteil_ultrasonic-hcsr04p.htm>>https://www.elektronik-kompendium.de/sites/praxis/bauteil_ultrasonic-hcsr04p.htm]]
65	65	** [[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]]
...	...	@@ -66,6 +66,8 @@
66	66	** (((
67	67	[[https:~~/~~/www.blickfeld.com/de/produkte/cube-1/>>https://www.blickfeld.com/de/produkte/cube-1/]]
68	68	)))
	58	+* Obstacle detection at speeds up to 50 km/h
	59	+* Distance measuring (ultrasonic sensor)
69	69
70	70	5. A digital twin for an autonomous on-demand train service **[already reserved]**
71	71	// Note: Tight interfacing with other topics//
...	...	@@ -77,7 +77,7 @@
77	77	* Reliability analysis/statistics to ensure transparency of autonomous operation
78	78
79	79	6. A standalone sensor box for monitoring rail vehicles
80		-//This prototype will be tested (only) using the full-scale demonstrator and is intended for monitoring non-autonomous vehicles (not the REAKTOR)//
	71	+ //This prototype will be tested (only) using the full-scale demonstrator and is intended for monitoring non-autonomous vehicles (not the REAKTOR)//
81	81
82	82	* Development of a sensor array to monitor rail vehicle operation
83	83	* It should serve as a plugin solution inside the train's cockpit for monitoring operation and as preparation for autonomous control