Datasets and Driving Models

This chapter explores the critical role of diverse datasets in training autonomous driving models, contrasting extensive footage from platforms like YouTube with more restricted academic datasets. It delves into methodologies involving pre-training and fine-tuning processes, alongside the challenges of geographic variability and camera calibration in developing effective driving applications.