Diskussion:JetRacer: Spurführung mit künstlicher Intelligenz

#	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
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	Easy start without ROS: Run Image detection on GPU Deploying a Deep Learning Network on NVIDIA Jetson Using GPU Coder Getting Started with MATLAB, Simulink, and ROS
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.	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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Errors and Solutions

#	Dates	Error Descriptions	Solutions
1	12.06.2024- 05.07.2024	Build the Jetracer Setup Integrated Nvidia OS Connect JetRacer to local WLAN Setup Headless control of jetracer Teach the JetRacer automated driving Steering JetRacer with Gamepad Teaching Jetracer interactive_regression Testing different Flashversions of the JetRacer	Dokumentieren Sie bitte hier Ihren Fortschritt.
	* jetbot-043_nano-4gb-jp45.zip	Warning!! this is for Jetbot, not Jetracer. Jetracer cannot detect SD-card Connot lunch Nvidia OS because HMI Screen always dark and Jetson Nano turns on but doesn’t boot	Dokumentieren Sie bitte hier Ihren Fortschritt.
	* jetson-nano-jp461-sd-card-image.zip(Jetson-nano developer kit)	No build in Jetracer packages like: basic_motion, teleoperation, road_following etc Incompatible with Jetracer and gives error : jetson nano Adafruit-Blinka requires Python '>=3.7.0' but the running Python is 3.6.9 Incompatible with Jetracer and gives error :No matching distribution found for Adafruit-Blinka>=7.0.0 (from adafruit-circuitpython-servokit) Cannot run "sudo nvpmodel -m1" and shows nvpmodel not found ||
	* jetcard_nano-4gb-jp451.zip (Jetpack4.5.1)	Working but no build in Jetracer packages like: teleoperation, road_following etc Solution is to use github repository: https://github.com/NVIDIA-AI-IOT/jetracer to clone the teleoperation, road_following etc	Dokumentieren Sie bitte hier Ihren Fortschritt.
	* jetrace.zip (Jetpack4.5)	Incompatible with Jetracer and gives error :ValueError: No I2C device at address: 0x60 (error comes from step 5 of https://www.waveshare.com/wiki/JetRacer_AI_Kit. do not immplement it for pro versions ) only interactive_regression package works with no error Solution is to use github repository: https://github.com/NVIDIA-AI-IOT/jetracer to clone the basic_movement, teleoperation, road_following etc Can't connect to SSH header	Dokumentieren Sie bitte hier Ihren Fortschritt.
2	08.07.2024 - 02.09.2024	Research for resources and links on how to programme Jetracer using MATLAB/ROS2 programme Jetracer using MATLAB Use of ROS2 to teach the Jetson Nano.	Dokumentieren Sie bitte hier Ihren Fortschritt.
	Cuda 10.2 set path		Dokumentieren Sie bitte hier Ihren Fortschritt.
	dpkg: error processing package nvidia-l4t-bootloader		Dokumentieren Sie bitte hier Ihren Fortschritt.
	Nvcc not Found		Dokumentieren Sie bitte hier Ihren Fortschritt.
	Install Cudnn		Dokumentieren Sie bitte hier Ihren Fortschritt.
	SDL 1.2 installation		Dokumentieren Sie bitte hier Ihren Fortschritt.
	No publick key(update error)		Dokumentieren Sie bitte hier Ihren Fortschritt.