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Pedestrian Motion Trajectory Prediction in Intelligent Driving from Far Shot First-Person Perspective Video

IEEE transactions on intelligent transportation systems, 2022-06, Vol.23 (6), p.5298-5313

2022

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IEEE_Xplore

Deep Learning for Visual Tracking: A Comprehensive Survey

IEEE transactions on intelligent transportation systems, 2022-05, Vol.23 (5), p.3943-3968

2022

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IEEE_Xplore

A Clustering-Based Coverage Path Planning Method for Autonomous Heterogeneous UAVs

IEEE transactions on intelligent transportation systems, 2022-12, Vol.23 (12), p.25546-25556

2022

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IEEE_Xplore

Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction

IEEE transactions on intelligent transportation systems, 2021-02, Vol.22 (2), p.1138-1149

2021

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IEEE_Xplore

A Hierarchical Blockchain-Enabled Federated Learning Algorithm for Knowledge Sharing in Internet of Vehicles

IEEE transactions on intelligent transportation systems, 2021-07, Vol.22 (7), p.3975-3986

2021

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IEEE_Xplore

Unsupervised Decomposition and Correction Network for Low-Light Image Enhancement

IEEE transactions on intelligent transportation systems, 2022-10, Vol.23 (10), p.19440-19455

2022

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IEEE_Xplore

Automatic Pavement Crack Detection by Multi-Scale Image Fusion

IEEE transactions on intelligent transportation systems, 2019-06, Vol.20 (6), p.2025-2036

2019

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IEEE_Xplore

A Survey of Deep Learning Applications to Autonomous Vehicle Control

IEEE transactions on intelligent transportation systems, 2021-02, Vol.22 (2), p.712-733

2021

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IEEE_Xplore

Intelligent Edge Computing in Internet of Vehicles: A Joint Computation Offloading and Caching Solution

IEEE transactions on intelligent transportation systems, 2021-04, Vol.22 (4), p.2212-2225

2021

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IEEE_Xplore

TBE-Net: A Three-Branch Embedding Network With Part-Aware Ability and Feature Complementary Learning for Vehicle Re-Identification

IEEE transactions on intelligent transportation systems, 2022-09, Vol.23 (9), p.14557-14569

2022

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IEEE_Xplore

Driver Distraction Detection Using Semi-Supervised Machine Learning

IEEE transactions on intelligent transportation systems, 2016-04, Vol.17 (4), p.1108-1120

2016

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IEEE_Xplore

Short-Term Prediction of Passenger Demand in Multi-Zone Level: Temporal Convolutional Neural Network With Multi-Task Learning

IEEE transactions on intelligent transportation systems, 2020-04, Vol.21 (4), p.1480-1490

2020

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IEEE_Xplore

FedCPF: An Efficient-Communication Federated Learning Approach for Vehicular Edge Computing in 6G Communication Networks

IEEE transactions on intelligent transportation systems, 2022-02, Vol.23 (2), p.1616-1629

2022

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IEEE_Xplore

Key Points Estimation and Point Instance Segmentation Approach for Lane Detection

IEEE transactions on intelligent transportation systems, 2022-07, Vol.23 (7), p.8949-8958

2022

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IEEE_Xplore

Traffic Flow Prediction With Big Data: A Deep Learning Approach

IEEE transactions on intelligent transportation systems, 2015-04, Vol.16 (2), p.865-873

2015

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IEEE_Xplore

Perceptual Enhancement for Autonomous Vehicles: Restoring Visually Degraded Images for Context Prediction via Adversarial Training

IEEE transactions on intelligent transportation systems, 2022-07, Vol.23 (7), p.9430-9441

2022

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IEEE_Xplore

Confidence-Aware Reinforcement Learning for Self-Driving Cars

IEEE transactions on intelligent transportation systems, 2022-07, Vol.23 (7), p.7419-7430

2022

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IEEE_Xplore

Novel Deep Learning-Enabled LSTM Autoencoder Architecture for Discovering Anomalous Events From Intelligent Transportation Systems

IEEE transactions on intelligent transportation systems, 2021-07, Vol.22 (7), p.4507-4518

2021

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IEEE_Xplore

Path Following Optimization for an Underactuated USV Using Smoothly-Convergent Deep Reinforcement Learning

IEEE transactions on intelligent transportation systems, 2021-10, Vol.22 (10), p.6208-6220

2021

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IEEE_Xplore

Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg-Marquardt Algorithm

IEEE transactions on intelligent transportation systems, 2012-06, Vol.13 (2), p.644-654

2012

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IEEE_Xplore

Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning

IEEE transactions on intelligent transportation systems, 2014-10, Vol.15 (5), p.2191-2201

2014

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IEEE_Xplore

A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving

IEEE transactions on intelligent transportation systems, 2022-08, Vol.23 (8), p.9961-9980

2022

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IEEE_Xplore

Adversarial Training Lattice LSTM for Named Entity Recognition of Rail Fault Texts

IEEE transactions on intelligent transportation systems, 2022-11, Vol.23 (11), p.21201-21215

2022

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IEEE_Xplore

Privacy-Preserved Federated Learning for Autonomous Driving

IEEE transactions on intelligent transportation systems, 2022-07, Vol.23 (7), p.8423-8434

2022

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IEEE_Xplore

Deep Multitask Learning for Railway Track Inspection

IEEE transactions on intelligent transportation systems, 2017-01, Vol.18 (1), p.153-164

2017

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IEEE_Xplore

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Pedestrian Motion Trajectory Prediction in Intelligent Driving from Far Shot First-Person Perspective Video

Deep Learning for Visual Tracking: A Comprehensive Survey

A Clustering-Based Coverage Path Planning Method for Autonomous Heterogeneous UAVs

Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction

A Hierarchical Blockchain-Enabled Federated Learning Algorithm for Knowledge Sharing in Internet of Vehicles

Unsupervised Decomposition and Correction Network for Low-Light Image Enhancement

Automatic Pavement Crack Detection by Multi-Scale Image Fusion

A Survey of Deep Learning Applications to Autonomous Vehicle Control

Intelligent Edge Computing in Internet of Vehicles: A Joint Computation Offloading and Caching Solution

TBE-Net: A Three-Branch Embedding Network With Part-Aware Ability and Feature Complementary Learning for Vehicle Re-Identification

Driver Distraction Detection Using Semi-Supervised Machine Learning

Short-Term Prediction of Passenger Demand in Multi-Zone Level: Temporal Convolutional Neural Network With Multi-Task Learning

FedCPF: An Efficient-Communication Federated Learning Approach for Vehicular Edge Computing in 6G Communication Networks

Key Points Estimation and Point Instance Segmentation Approach for Lane Detection

Traffic Flow Prediction With Big Data: A Deep Learning Approach

Perceptual Enhancement for Autonomous Vehicles: Restoring Visually Degraded Images for Context Prediction via Adversarial Training

Confidence-Aware Reinforcement Learning for Self-Driving Cars

Novel Deep Learning-Enabled LSTM Autoencoder Architecture for Discovering Anomalous Events From Intelligent Transportation Systems

Path Following Optimization for an Underactuated USV Using Smoothly-Convergent Deep Reinforcement Learning

Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg-Marquardt Algorithm

Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning

A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving

Adversarial Training Lattice LSTM for Named Entity Recognition of Rail Fault Texts

Privacy-Preserved Federated Learning for Autonomous Driving

Deep Multitask Learning for Railway Track Inspection

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