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.
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
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 29, 2020
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Accident Analysis & Prevention
How to Build A Graph-Based Deep Learning Architecture In Traffic Domain: A Survey
Jiexia Ye • Juanjuan Zhao • Kejiang Ye • Chengzhong Xu
Dec 29, 2020
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IEEE Transactions on Intelligent Transportation Systems
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
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
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
Ian Goodfellow, Yoshua Bengio, And Aaron Courville: Deep Learning
Jeff Heaton
Oct 29, 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