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Deep learning for object detection and scene perception in . . . Deep learning is one potential solution for object detection and scene perception problems, which can enable algorithm-driven and data-driven cars In this article, we aim to bridge the gap between deep learning and self-driving cars through a comprehensive survey
Self-Driving Cars With Convolutional Neural Networks (CNN) Deep learning is a technology that can help solve almost any type of science or engineering problem In this article, we’ll focus on deep learning algorithms in self-driving cars – convolutional neural networks (CNN)
The Machine Learning Behind Self-Driving Cars Self-driving cars, also known as autonomous cars, are cars that can drive with little or no human effort An autonomous car is supposed to drive you from one city to another while you are sleeping, relaxing, or doing your business In this article, I will introduce you to the machine learning behind self-driving cars
End-to-End Deep Learning for Self-Driving Cars | NVIDIA . . . Smaller networks are possible because the system learns to solve the problem with the minimal number of processing steps This blog post is based on the NVIDIA paper End to End Learning for Self-Driving Cars Please see the original paper for full details Convolutional Neural Networks to Process Visual Data
[2410. 22766] Self-Driving Car Racing: Application of Deep . . . This paper explores the application of deep reinforcement learning (RL) techniques in the domain of autonomous self-driving car racing Motivated by the rise of AI-driven mobility and autonomous racing events, the project aims to develop an AI agent that efficiently drives a simulated car in the OpenAI Gymnasium CarRacing environment We investigate various RL algorithms, including Deep Q