Deep Learning

Deep Learning is an artificial intelligence function, mostly used with certain kinds of neural networks. This function mimics the workings of the human brain in processing data for use in detecting objects, recognizing speech, making decisions, and translating languages. “Deep,” in this context, refers to the use of multiple layers in the network. Deep learning can be used, for example, to help detect fraud or money laundering, among other functions.

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Integrating Deep Reinforcement Learning With Model-based Path Planners For Automated Driving

Ekim Yurtsever • Linda Capito • Keith Redmill • Umit Ozgune

Jan 8, 2021

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2020 IEEE Intelligent Vehicles Symposium

MEDIRL: Predicting The Visual Attention Of Drivers Via Maximum Entropy Deep Inverse Reinforcement Learning

Sonia Baee • Erfan Pakdamanian • Inki Kim • Lu Feng • Vicente Ordonez • Laura Barnes

Jan 5, 2021

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ArXiv

How to Build A Graph-Based Deep Learning Architecture In Traffic Domain: A Survey

Jiexia Ye • Juanjuan Zhao • Kejiang Ye • Chengzhong Xu

Dec 28, 2020

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IEEE Transactions on Intelligent Transportation Systems

Safety Critical Event Prediction Through Unified Analysis Of Driver And Vehicle Volatilities: Application Of Deep Learning Methods

Ramin Arvin • Asad J. Khattak • Hairong Qi

Dec 28, 2020

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Accident Analysis & Prevention

Improving The Learning Of Self-Driving Vehicles Based On Real Driving Behavior Using Deep Neural Network Techniques

Nayere Zaghari • Mahmood Fathy • Seyed Mahdi Jameli • Mohammad Sabokrou • Mohammad Shahverdy

Aug 31, 2020

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The Journal of Supercomputing

Deep Learning And Control Algorithms Of Direct Perception For Autonomous Driving

Der-Hau Lee • Kuan-Lin Chen • Kuan-Han Liou • Chang-Lun Liu • Jinn-Liang Liu

Aug 8, 2020

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Applied Intelligence

A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks For Short-Term Traffic Flow Prediction

Haifeng Zheng • Feng Lin • Xinxin Feng • Youjia Chen

Jun 9, 2020

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IEEE Transactions on Intelligent Transportation Systems

A Deep-Learning Model For Urban Traffic Flow Prediction With Traffic Events Mined From Twitter

Aniekan Essien • Ilias Petrounias • Pedro Sampaio • Sandra Sampaio

Mar 14, 2020

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World Wide Web

Urban Flow Prediction From Spatiotemporal Data Using Machine Learning: A Survey

Peng Xie • Tianrui Li • Jia Liu • Shengdong Du • Xin Yang • Junbo Zhang

Jan 10, 2020

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Information Fusion

Deep-learning Based Urban Vehicle Trajectory Prediction

Seongjin Choi • Jiwon Kim J • Hwapyeong Yu • Dongho Ka • Hwasoo Yeo

Mar 9, 2019

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Korean Society Of Transportation

The Station-Free Sharing Bike Demand Forecasting With A Deep Learning Approach And Large-Scale Datasets

Chengcheng Xu • Junyi Ji • Pan Liu

Jul 19, 2018

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Transportation Research Part C: Emerging Technologies

End-to-End Race Driving With Deep Reinforcement Learning

Maximillian Jaritz • Raoul De Charette • Marin Toromanoff • Etienne Perot • Fawzi Nashashibi

Jan 1, 2018

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2018 IEEE International Conference on Robotics and Automation

Deep Learning-Based Human-Driven Vehicle Trajectory Prediction And Its Application For Platoon Control Of Connected And Autonomous Vehicles

Lei Lin • Siyuan Gong • Tao Li

Jan 1, 2018

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Conference: The Autonomous Vehicles Symposium 2018

Ian Goodfellow, Yoshua Bengio, And Aaron Courville: Deep Learning

Jeff Heaton

Oct 28, 2017

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Genetic Programming and Evolvable Machines volume

Tactical Decision Making For Lane Changing With Deep Reinforcement Learning

Mustafa Mukadam • Akansel Cosgun • ALireza Nakhaei • Kikuo Fujimura

Jan 12, 2017

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Conference: NIPS 2017 Workshop on Machine Learning for Intelligent Transportation Systems