Deep Learning-based Semantic Segmentation in Simulation and Real-World for Autonomous Vehicles — part 2

Introduction

Improving training dataset

Fig. 1: On the left is an original simulation image, in the middle is a domain randomized image, and on the right is an augmented image.

Results

Fig. 2: The result of finetuning for each model. Each column represents the mean IoU values measured on real images for different input image sizes.
Fig. 3: Comparison of U-Net model inference time for original and TensorRT optimized engine. Each column represents the values measured for different input image sizes, while each value indicates the number of frames processed per second.

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Deep Learning and AI solutions from Budapest University of Technology and Economics. http://smartlab.tmit.bme.hu/

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SmartLab AI

SmartLab AI

Deep Learning and AI solutions from Budapest University of Technology and Economics. http://smartlab.tmit.bme.hu/

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