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07/18/2023
Visualization of Mobility Digital Twin: Framework Design, Case Study, and Future Challenges
A Mobility Digital Twin is an emerging implementation of digital twin te...
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06/05/2023
Confidence-based federated distillation for vision-based lane-centering
A fundamental challenge of autonomous driving is maintaining the vehicle...
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03/02/2023
EPAM: A Predictive Energy Model for Mobile AI
Artificial intelligence (AI) has enabled a new paradigm of smart applica...
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02/07/2023
CoMap: Proactive Provision for Crowdsourcing Map in Automotive Edge Computing
Crowdsourcing data from connected and automated vehicles (CAVs) is a cos...
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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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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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11/22/2019
Graph Convolution Networks for Probabilistic Modeling of Driving Acceleration
The ability to model and predict ego-vehicle's surrounding traffic is cr...
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04/16/2019
A Case Study of Trust on Autonomous Driving
As autonomous vehicles have benefited the society, understanding the dyn...
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02/20/2019