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09/19/2023
Drive as You Speak: Enabling Human-Like Interaction with Large Language Models in Autonomous Vehicles
The future of autonomous vehicles lies in the convergence of human-centr...
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08/21/2023
Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges
Machine learning (ML) is widely used for key tasks in Connected and Auto...
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06/02/2023
Decentralized Federated Learning: A Survey and Perspective
Federated learning (FL) has been gaining attention for its ability to sh...
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05/27/2023
Radar Enlighten the Dark: Enhancing Low-Visibility Perception for Automated Vehicles with Camera-Radar Fusion
Sensor fusion is a crucial augmentation technique for improving the accu...
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04/14/2023
Peer-to-Peer Federated Continual Learning for Naturalistic Driving Action Recognition
Naturalistic driving action recognition (NDAR) has proven to be an effec...
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03/19/2023
A Survey of Federated Learning for Connected and Automated Vehicles
Connected and Automated Vehicles (CAVs) are one of the emerging technolo...
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01/17/2023
Metamobility: Connecting Future Mobility with Metaverse
A Metaverse is a perpetual, immersive, and shared digital universe that ...
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01/12/2023
Federated Transfer-Ordered-Personalized Learning for Driver Monitoring Application
Federated learning (FL) shines through in the internet of things (IoT) w...
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09/19/2022
Multi-Task Vision Transformer for Semi-Supervised Driver Distraction Detection
Driver distraction detection is an important computer vision problem tha...
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08/17/2022
A Study on Learning and Simulating Personalized Car-Following Driving Style
Automated vehicles are gradually entering people's daily life to provide...
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12/07/2021
Vision-Cloud Data Fusion for ADAS: A Lane Change Prediction Case Study
With the rapid development of intelligent vehicles and Advanced Driver-A...
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05/04/2021
Digital Twin-Assisted Cooperative Driving at Non-Signalized Intersections
Digital Twin, as an emerging technology related to Cyber-Physical System...
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01/27/2021
A Game Theory Based Ramp Merging Strategy for Connected and Automated Vehicles in the Mixed Traffic: A Unity-SUMO Integrated Platform
Ramp merging is considered as one of the major causes of traffic congest...
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01/09/2021
Trust-Based Route Planning for Automated Vehicles
Several recent works consider the personalized route planning based on u...
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08/31/2020
Augmented Reality-Based Advanced Driver-Assistance System for Connected Vehicles
With the development of advanced communication technology, connected veh...
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07/08/2020
Sensor Fusion of Camera and Cloud Digital Twin Information for Intelligent Vehicles
With the rapid development of intelligent vehicles and Advanced Driving ...
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06/23/2020
Long-Term Prediction of Lane Change Maneuver Through a Multilayer Perceptron
Behavior prediction plays an essential role in both autonomous driving s...
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01/24/2020
End-to-End Vision-Based Adaptive Cruise Control (ACC) Using Deep Reinforcement Learning
This paper presented a deep reinforcement learning method named Double D...
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02/20/2019
Lookup Table-Based Consensus Algorithm for Real-Time Longitudinal Motion Control of Connected and Automated Vehicles
Connected and automated vehicle (CAV) technology is one of the promising...
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10/23/2018
Agent-Based Modeling and Simulation of Connected and Automated Vehicles Using Game Engine: A Cooperative On-Ramp Merging Study
Agent-based modeling and simulation (ABMS) has been a popular approach t...
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09/08/2018
