[图书][B] Applied Deep Learning and Computer Vision for Self-Driving Cars: Build autonomous vehicles using deep neural networks and behavior-cloning techniques

S Ranjan, S Senthamilarasu - 2020 - books.google.com
Explore self-driving car technology using deep learning and artificial intelligence techniques
and libraries such as TensorFlow, Keras, and OpenCV Key FeaturesBuild and train powerful …

[图书][B] Advances in AI and Autonomous Vehicles: Cybernetic Self-Driving Cars Practical Advances in Artificial Intelligence (AI) and Machine Learning

LB Eliot - 2017 - dl.acm.org
Advances in AI and Autonomous Vehicles | Guide books skip to main content ACM Digital
Library home ACM home Google, Inc. (search) Advanced Search Browse About Sign in …

Deep Learning Based Self Driving Cars Using Computer Vision

S Bhaggiaraj, M Priyadharsini… - … on Networking and …, 2023 - ieeexplore.ieee.org
Autonomous driving is a prominent topic in the fields of artificial intelligence and machine
learning, with several studies being undertaken in order to bring driverless vehicles to the …

[HTML][HTML] A survey on theories and applications for self-driving cars based on deep learning methods

J Ni, Y Chen, Y Chen, J Zhu, D Ali, W Cao - Applied Sciences, 2020 - mdpi.com
Self-driving cars are a hot research topic in science and technology, which has a great
influence on social and economic development. Deep learning is one of the current key …

Improving the learning of self-driving vehicles based on real driving behavior using deep neural network techniques

N Zaghari, M Fathy, SM Jameii, M Sabokrou… - The Journal of …, 2021 - Springer
Considering the significant advancements in autonomous vehicle technology, research in
this field is of interest to researchers. To drive vehicles autonomously, controlling steer …

Practical self-driving cars: Survey of the state-of-the-art

D Saha, S De - 2022 - preprints.org
Abstract Self-Driving Vehicles or Autonomous Driving (AD) have emerged as the prime field
of research in Artificial Intelligence and Machine Learning of late. The indicated market …

Self-driving cars: A platform for learning and research

J Newman, Z Sun, DJ Lee - 2020 Intermountain Engineering …, 2020 - ieeexplore.ieee.org
We present a self-driving car platform that can be used by both students and researchers.
Students can use the platform to learn about the technology and challenges that exist in the …

Deep learning for self-driving cars: Chances and challenges

Q Rao, J Frtunikj - Proceedings of the 1st international workshop on …, 2018 - dl.acm.org
Artificial Intelligence (AI) is revolutionizing the modern society. In the automotive industry,
researchers and developers are actively pushing deep learning based approaches for …

A study on computer vision techniques for self-driving cars

N Agarwal, CW Chiang, A Sharma - Frontier Computing: Theory …, 2019 - Springer
Self-driving cars have become inevitable to be present in a near future. A big number of
large companies, startups and research groups have been working for years to fulfil the …

Review on self-driving cars using neural network architectures

R Gudla, VS Telidevulapalli, JS Kota… - World Journal of …, 2022 - wjarr.com
A self-driving automobile is one that can sense its environment and navigate obstacles like
traffic and other vehicles on its own with little to no human intervention. Although it has been …