<
From version < 31.4 >
edited by Alexander Schulz-Rosengarten
on 2024/09/19 14:18
To version < 31.3 >
edited by Alexander Schulz-Rosengarten
on 2024/09/19 13:51
>
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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)
... ... @@ -38,11 +38,11 @@
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 applicability and influence of training data due to different environments for the demonstrators (i.e. indoors vs. outdoors)
41 +* Evaluate the
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 area in front of the train is, such that the controller can adjust its speed.
45 +* For interfacing with the controller the sensor should provide an assessment how safe the
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  ** (((
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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
52 +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]]