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52	52	4. Classic and AI-based distance sensing for autonomous train control using different sensors
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)
	55	+* Explore and evaluate the applica
	56	+* Assess applicablilty of different sensors for use cases and ranges
	57	+* 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	)))
	64	+* Obstacle detection at speeds up to 50 km/h
	65	+* 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//