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Chapter 16 - Simulating a Self-Driving Car using End-to-End Deep Learning with Keras

Note: All images in this directory, unless specified otherwise, are licensed under CC BY-NC 4.0.

Figure List

Figure number Description
16-1 The SAE Levels of Driving Automation
16-2 The NavLab 1 in all its glory
16-3 AirSim’s photo realistic simulation versus Apollo postperception simulation
16-4 The Landscape map in AirSim
16-5 Plot showing the contents of the file normal_1/images/img_0.png
16-6 The three parts of the image as seen by the self-driving car
16-7 The ROI for our car to focus on during training
16-8 Flipping image on the y-axis
16-9 Reducing image brightness by 40%
16-10 Plot showing steering angles from the two driving strategies
16-11 Dataset split for the two driving strategies
16-12 Steering angle distribution for the two driving strategies
16-13 Drawing steering angles on images
16-14 Network architecture
16-15 Drawing actual and predicted steering angles on images
16-16 Trained model driving the car
16-17 Architecture of NVIDIA’s DAVE-2 system