| # |
Termin |
Planung für die Woche |
Fortschritt
|
| 1 |
12.06.2024- 19.06.2024 |
- Safety briefing for Marc Ebmeyer's laboratories
- Familiarization with the existing frame work
- Familiarize with the existing system using the wiki article. Gantt chart
- Handing over the keys to Marc Ebmeyer's laboratories
|
- Make Research on the topic
- Draft a timeline for the project.
|
| 2 |
20.06.2024-26.06.2024 |
- Build the Jetracer
- Setup and Flash Nvidia OS
- Connect JetRacer to local WLAN
- Setup Headless control of jetracer
|
- Errors and Crashes on the OS (details on Errors and solutions)
- Find the optimal OS for the jet racer
- Optimization of the AI for the circuit, the controller (e.g. PD controller) in the laboratory Autonomous systems (speed, robustness).
|
| 3 |
26.06.2024 - 05.07.2024 |
- Fixing, debuging errors and testing different Flashversions of the JetRacer
- Teach the JetRacer automated driving
- Steering JetRacer with Gamepad
- Teaching Jetracer interactive_regression
|
- Make Research on Matlab, Deep learning and ROS
- Document Errors
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| 4 |
05.07.2024 - 26.07.2024 |
- Link Jetracer to MATLAB
- Install and check prerequisite for the jetracer like: CUDA, Cudnn, TensorRT
- Reinstall CUDA 10.2, CuDNN and SDL1.2 Paths
- Attempt to programme Jetracer using MATLAB:
- Image recognition
- Line following
|
- Document Errors + Solutions (E.g. Incompatible GPU, Missing Environment Variables paths like: CUDA_PATH and NVIDIA_CUDNN)
- Speak with other student working on Autonome Spurführung mit einem JetRacer ROS AI Robot
- Update the Professor by Email for Feedback
|
| 6 |
29.07.2024 - |
- Programme Jetracer using ROS2
- Evaluation of the advantages and disadvantages of the programming environments.
|
Dokumentieren Sie bitte hier Ihren Fortschritt.
|
| 7 |
12.08.2024 |
|
| 8 |
19.08.2024 |
- Use the Game controller to steer
|
Dokumentieren Sie bitte hier Ihren Fortschritt.
|
| 9 |
26.08.2024 |
- Programme Jetracer using ROS2
- Evaluation of the advantages and disadvantages of the programming environments.
|
Dokumentieren Sie bitte hier Ihren Fortschritt.
|
| 10 |
04.09.2024 |
- Discussion of subject for the bachelorthesis.
- Drive the JetRacer in the right lane counterclockwise with the gamepad controller. Limit the speed via Software to a maximum (e. g. 1 m/s).
- Take a video while driving a lap with MATLAB® using a MATLAB®-script.
- Load the pretrained NN.
- Train the pretrained NN with MATLAB® with a MATLAB®-App (GUI) by clicking the desired path in the images.
- Use classic lane tracking algorithms to teach the NN automatically.
- Write a PD-contoller that uses the NN to drive in the right lane. Program this in MATLAB® and let it run on the JetRacer-GPU using GPU Coder.
- Goal: the car should drive autonomously several laps in the right lane as fast as possible.
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- Student choosed a name fot the bachelorthesis.
- Provide debug option to adjust speed(Throttle) of jetracer to a maximum (e. g. 1 m/s) only on matlab.
|
| 11 |
09.09.2024 - 13.09.2024 |
- Student did not attend the meeting.
- Please cancle the meeting if you are not coming.
- Drive the JetRacer in the right lane counterclockwise with the gamepad controller. Limit the speed via Software to a maximum (e. g. 1 m/s).
- Take a video while driving a lap with MATLAB® using a MATLAB®-script.
- Load the pretrained NN.
|
- Successfully Drive the JetRacer in the right lane counterclockwise with the gamepad controller on matlab. Hard code the speed Limit via Software to a maximum (e. g. 1 m/s).
- Successfully took a video while driving a lap with MATLAB® using a MATLAB®-script.
- Load the pretrained NN.
- Attempt to train the pretrained NN with MATLAB® with a MATLAB®-App (GUI) by clicking the desired path in the images.
- Documented all my work on wiki platform
|
| 12 |
16.09.2024 - 20.09.2024 |
- Use classic lane tracking algorithms to teach the NN automatically.
- Write a PD-contoller that uses the NN to drive in the right lane. Program this in MATLAB® and let it run on the JetRacer-GPU using GPU Coder.
- Goal: the car should drive autonomously several laps in the right lane as fast as possible.
|
Dokumentieren Sie bitte hier Ihren Fortschritt.
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