<
From version < 31.3 >
edited by Alexander Schulz-Rosengarten
on 2024/09/19 13:51
To version < 31.4 >
edited by Alexander Schulz-Rosengarten
on 2024/09/19 14:18
>
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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 the
41 +* Evaluate applicability and influence of training data due to different environments for the demonstrators (i.e. indoors vs. outdoors)
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
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.
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  ** (((
... ... @@ -49,9 +49,11 @@
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. AI-based sensor processing for autonomous train control
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 the applica
56 +* Assess applicablilty of different sensors for use cases and ranges
55 55  * Sensor processing of train mounted LiDAR or ultrasonic sensor
56 56  * Potential hardware (subject to changes):
57 57  ** [[https:~~/~~/www.elektronik-kompendium.de/sites/praxis/bauteil_ultrasonic-hcsr04p.htm>>https://www.elektronik-kompendium.de/sites/praxis/bauteil_ultrasonic-hcsr04p.htm]]