Walkthrough all Matlab Code Used In This Project

Aus HSHL Mechatronik
Version vom 27. Mai 2025, 12:35 Uhr von Evrard.leuteu-feukeu@stud.hshl.de (Diskussion | Beiträge) (Die Seite wurde neu angelegt: „{| class="wikitable" |+ Tabelle 12: Storing input data |- ! Name !! Application !! Description |- | storingcropsteeringandframesoncsvrgb.m || Storing steering values and recorded frames || Steering values are stored in a CSV file as well as their corresponding frames. |- | storingcropsteeringandframesoncsvrgb_calibrated.m || Storing steering values and calibrated recorded frames in RGB. || Steering values are stored in a CSV file as well as their co…“)
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Tabelle 12: Storing input data
Name Application Description
storingcropsteeringandframesoncsvrgb.m

Storing steering values and recorded frames

Steering values are stored in a CSV file as well as their corresponding frames.
storingcropsteeringandframesoncsvrgb_calibrated.m
Storing steering values and calibrated recorded frames in RGB.
Steering values are stored in a CSV file as well as their corresponding calibrated frames in RGB.
storingcropsteeringandframesoncsvrgb_calibrated.m


Pretrained NN to label each pixel in an image.
storingcropsteeringandframesoncsvrgb_calibrated.m


Pretrained NN to label each pixel in an image.
storingcropsteeringandframesoncsvrgb_calibrated.m


Pretrained NN to label each pixel in an image.
storingcropsteeringandframesoncsvrgb_calibrated.m


Pretrained NN to label each pixel in an image.
storingcropsteeringandframesoncsvrgb_calibrated.m


Pretrained NN to label each pixel in an image.
storingcropsteeringandframesoncsvrgb_calibrated.m


Pretrained NN to label each pixel in an image.
storingcropsteeringandframesoncsvrgb_calibrated.m


Pretrained NN to label each pixel in an image.
Tabelle 8: Lane Trackin
Name Application Description
Load
  • ResNet-50/101
Pretrained NN for image classification tasks.
Retrain


Pretrained models for detecting and localizing objects.
Finetune


Pretrained NN to label each pixel in an image.
Tabelle 8: python libraries
Name Application Description
Load
  • ResNet-50/101
Pretrained NN for image classification tasks.
Retrain


Pretrained models for detecting and localizing objects.
Finetune


Pretrained NN to label each pixel in an image.
Tabelle 8: autonomous driving
Name Application Description
Load
  • ResNet-50/101
Pretrained NN for image classification tasks.
Retrain


Pretrained models for detecting and localizing objects.
Finetune


Pretrained NN to label each pixel in an image.
Tabelle 8: Training
Name Application Description
Load
  • ResNet-50/101
Pretrained NN for image classification tasks.
Retrain


Pretrained models for detecting and localizing objects.
Finetune


Pretrained NN to label each pixel in an image.