Summary

• Page properties (1 modified, 0 added, 0 removed)

Details

Page properties

Content

...	...	@@ -29,7 +29,7 @@
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)
...	...	@@ -36,9 +36,13 @@
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
39	39	* Step-wise evaluation of the influence of vehicle speed on the detection quality
40		-*
41		-*
	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.
42	42	* Potential hardware (subject to changes):
43	43	** [[https:~~/~~/www.raspberrypi.com/documentation/accessories/camera.html>>https://www.raspberrypi.com/documentation/accessories/camera.html]]
44	44	** (((
...	...	@@ -45,10 +45,17 @@
45	45	[[https:~~/~~/www.axis.com/de-de/products/axis-p1455-le>>https://www.axis.com/de-de/products/axis-p1455-le]]
46	46	)))
47	47
48		-4. AI-based sensor processing for autonomous train control
	52	+4. Classic and AI-based distance sensing for autonomous train control using different sensors
49	49	// This topic will be jointly advised with the AG Distributed Systems//
50	50
51		-* Sensor processing of train mounted LiDAR or ultrasonic sensor
	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)
52	52	* Potential hardware (subject to changes):
53	53	** [[https:~~/~~/www.elektronik-kompendium.de/sites/praxis/bauteil_ultrasonic-hcsr04p.htm>>https://www.elektronik-kompendium.de/sites/praxis/bauteil_ultrasonic-hcsr04p.htm]]
54	54	** [[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]]
...	...	@@ -55,8 +55,6 @@
55	55	** (((
56	56	[[https:~~/~~/www.blickfeld.com/de/produkte/cube-1/>>https://www.blickfeld.com/de/produkte/cube-1/]]
57	57	)))
58		-* Obstacle detection at speeds up to 50 km/h
59		-* Distance measuring (ultrasonic sensor)
60	60
61	61	5. A digital twin for an autonomous on-demand train service **[already reserved]**
62	62	// Note: Tight interfacing with other topics//
...	...	@@ -68,7 +68,7 @@
68	68	* Reliability analysis/statistics to ensure transparency of autonomous operation
69	69
70	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)//
	80	+//This prototype will be tested (only) using the full-scale demonstrator and is intended for monitoring non-autonomous vehicles (not the REAKTOR)//
72	72
73	73	* Development of a sensor array to monitor rail vehicle operation
74	74	* It should serve as a plugin solution inside the train's cockpit for monitoring operation and as preparation for autonomous control