Walkthrough all Matlab Code Used In This Project
| Name | Description |
|---|---|
| storingcropsteeringandframesoncsvrgb.m | Steering values are stored in a CSV file as well as their corresponding frames in RGB. |
| storingcropsteeringandframesoncsvrgb_calibrated.m | Steering values are stored in a CSV file as well as their corresponding calibrated frames in RGB. |
| Frames_conversion.m |
Convert RGB frames to BW, grey, and Canny edge.
|
| Video_conversion.m |
Convert RGB videos to BW, grey, and Canny edge.
|
| speedlimit.m |
Script which implement minimum and max throttle values |
| storingcropsteeringandframesoncsvgrayscale.m |
Steering values are stored in a CSV file as well as their corresponding frames in gray. |
| Name | Description |
|---|---|
| Calibrationchecker.m |
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| Calibrationchecker_video.m |
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| test_camera_calibration.m |
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| 256by256frames.m |
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| cali.m |
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| calibration_256_256_script.m |
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| calibration_500by220.m |
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| calibration_500by220_final.m |
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| calibration_with_one_image.m |
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| test_extractedframes_256by256_calibrationpara.m |
|
| Bird_eye_view.m |
|
| Name | Description |
|---|---|
| Lane_angle_tracking.m |
Matlab script to print right lane angle. |
| Lane_tracking.m |
Matlab script to detect and track lanes. |
| Lane_tracking_lane_change.m |
Matlab script which tracks either the left or right lane and switches the ROI when no lane is detected. |
| addinglanepliudot.m |
Matlab script that displays the steering values as a dot on the screen as well as the detected lanes. |
| Name | Description |
|---|---|
| Jtest.py |
|
| Jtest0.py |
Python script that allows steering by incrementation through buttons 4 and 3. |
| Jtest01.py |
Python script steering without incrementation |
| Jtest02-object.py |
Python script that reads steering_value.txt for autonomous driving and steers automatically when an object is detected.
|
| Jtest4.py |
Python script that reads steering_value.txt for autonomous driving. |
| Name | Description |
|---|---|
| autonomous_driving.m |
|
| autonomous_driving_lanetracking.m |
|
| RunningtheJetRacerAutonomouslyupdate.m |
|
| RunningtheJetRacerAutonomously.m |
|
| Name | Description |
|---|---|
| Improved_Classified_CNN_Model.mat |
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| Improved_Regression_CNN_Model.mat |
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| Improved_RGB_CNN_model.mat |
|
| RGB_CNN_model.mat | |
| RGB_CNN_Regresssion_model.mat |
|
| RGB_RGBRect_CNN_Model.mat |
|
| RNN_model.mat |
|
| trainedNet.mat |
|
| Gray_CNN_Classification.mat |
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| Gray_CNN_Regresssion_model.mat |
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| MultiInput_CNN_Model_GrayOnly.mat |
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| CannyEdge_CNN_Regresssion_model.mat |
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| BW_CNN_Regresssion_model.mat |
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| MultiInput_CNN_Model_BW.mat |
|
| trainedCNN_Model_1.mat trainedCNN_Model_2.mat trainedCNN_Model_3.mat |
|
| trained12vid.fig |
|
| Name | Description |
|---|---|
| Cleaned_RGB_CNN_Classify_model.m |
Matlab script to train the CNN by classification model using RGB frames with more inputs like direction, steering angles etc. |
| Cleaned_RGB_RGBRect_CNN_Classify_model.m |
Matlab script to train the CNN by classification model using RGB rectified frames. |
| Complete_CNN_Classification.m |
Matlab script to train the CNN by classification model using RGB frames. |
| RGB_CNN_Classify_model.m |
Matlab script to train the Classification model using RGB frames. |
| RGB_CNN_model.m |
Matlab script to train the CNN model using RGB frames. |
| RGB_CNN_Regression_model.m |
Matlab script to train the Regression model using RGB frames. |
| RGB_LSTM_model.m |
Matlab script to train the LSTM model using RGB frames. |
| RGB_Pretrained_model.m |
Matlab script to train the Pretrained model using RGB frames. |
| RGB_Pretrained_model_script.m |
Matlab script to train the Pretrained model using RGB frames. |
| RGB_Reinforcementlearning_model.m |
Matlab script to train the reinforcement learning model using RGB frames. |
| RGB_RNN_model.m |
Matlab script to train the RNN using RGB frames. |
| RGB_Transferlearning_model.m |
Matlab script to train the Transferlearning model using RGB frames. |
| RGBmodel.m |
Matlab script to train the model using RGB frames. |
| Cleaned_Gray_CNN_Classify_model.m |
Matlab script to train the Classification model using grey scale frames. |
| Gray_CNN_model.m |
Matlab script to train the CNN model using grey scale frames. |
| Gray_LSTM_model.m |
Matlab script to train the LSTM model using grey scale frames. |
| Gray_Pretrained_model.m |
Matlab script to train the ResNet18 model using grey scale frames. |
| Gray_Reinforcementlearning_model.m |
Matlab script to train the model by Reinforcementlearning using grey scale frames. |
| Gray_RNN_model.m |
Matlab script to train the model by RNN using grey scale frames. |
| Gray_Transferlearning_model.m |
Matlab script to train the model by transfer learning using grey scale frames. |
| Graymodel.m |
Matlab script to train the model using grey scale frames. |
| greendottraining.m |
Matlab script to train the NN with the steering angle represented by a dot on the screen |
| online_training.m |
Matlab script to continue training the model with new data. |
| online_training_RNN.m |
Matlab script to continue training the RNN model with new data. |
| PretrainedNN.m |
|
| resnet_pretrained.m |
|
| ResNet18.m |
Matlab script to load the pretrained ResNet18. |
| ResNet18gray.m |
Matlab script to train the NN with ResNet18 on grey frames. |
| ResNet18rgb.m |
Matlab script to train the NN with ResNet18 on RGB frames.
|
| Resnet18trainonceperfram.m |
|
| traininglaneplusdot.m |
Matlab script to train the NN with both the steering angle represented by a dot on the screen and the detected edges. |
| Name | Description |
|---|---|
| cameraParams.mat |
|
| cameraCalibrationParams.mat |
|
| cameraCalibrationParams0.mat |
|
| cameraCalibrationParams_singleangle.mat |
|
| calibration256by256.mat |
|
| Name | Description |
|---|---|
| Messdaten2MAT.m |
Matlab script to convert CSV steering data to a .mat file. |
| zeigeMessdaten.m |
Matlab script to compare actual steering with predicted steering. |
| zeigeMessdaten_CNN_classify_model.m |
Matlab script to compare actual steering with predicted steering for classification model. |
| zeigeMessdaten_CNN_Regression.m |
Matlab script to compare actual steering with predicted steering for regression model. |
| zeigeMessdaten_grayscale.m |
Matlab script to compare actual steering with predicted steering for grayscale model.
|