May 12, 2024, 12:02 p.m. | Cristian Rodríguez

Towards AI - Medium pub.towardsai.net

A Deep Dive into NVIDIA’s DAVE-2 System for Predictive Steering

Photo by Erik Mclean on Unsplash

This article uses the convolutional neural network (CNN) approach to implement a self-driving car by predicting the steering wheel angle from input images of three front cameras in the car’s center, left, and right. The architecture of the model used was developed by NVIDIA for its autonomous navigation system called DAVE-2. The CNN is tested on the Udacity simulator.

Introduction

Self-driving cars can sense …

ai architecture article autonomy cameras car cars center cnn cnns convolutional convolutional-network convolutional neural network data-augmentation dave deep dive deep learning driving images network neural network nvidia predictive self-driving self-driving car self driving cars

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