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02/14/2023
Reachability-Based Confidence-Aware Probabilistic Collision Detection in Highway Driving
Risk assessment is a crucial component of collision warning and avoidanc...
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12/21/2022
Continual Interactive Behavior Learning With Traffic Divergence Measurement: A Dynamic Gradient Scenario Memory Approach
Developing autonomous vehicles (AVs) helps improve the road safety and t...
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11/18/2022
Leveraging Multi-stream Information Fusion for Trajectory Prediction in Low-illumination Scenarios: A Multi-channel Graph Convolutional Approach
Trajectory prediction is a fundamental problem and challenge for autonom...
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11/06/2022
Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges
Proper functioning of connected and automated vehicles (CAVs) is crucial...
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10/30/2022
QuEst: Graph Transformer for Quantum Circuit Reliability Estimation
Among different quantum algorithms, PQC for QML show promises on near-te...
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07/24/2022
Adaptive Decision Making at the Intersection for Autonomous Vehicles Based on Skill Discovery
In urban environments, the complex and uncertain intersection scenarios ...
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05/03/2022
Prediction-Based Reachability Analysis for Collision Risk Assessment on Highways
Real-time safety systems are crucial components of intelligent vehicles....
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02/26/2022
QOC: Quantum On-Chip Training with Parameter Shift and Gradient Pruning
Parameterized Quantum Circuits (PQC) are drawing increasing research int...
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02/22/2022
A Comparative Study of Deep Reinforcement Learning-based Transferable Energy Management Strategies for Hybrid Electric Vehicles
The deep reinforcement learning-based energy management strategies (EMS)...
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02/22/2022
An Ensemble Learning Framework for Vehicle Trajectory Prediction in Interactive Scenarios
Precisely modeling interactions and accurately predicting trajectories o...
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01/30/2022
Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments
An efficient and reliable multi-agent decision-making system is highly d...
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10/21/2021
RoQNN: Noise-Aware Training for Robust Quantum Neural Networks
Quantum Neural Network (QNN) is a promising application towards quantum ...
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09/15/2021
Sequential Point Cloud Prediction in Interactive Scenarios: A Survey
Point cloud has been widely used in the field of autonomous driving sinc...
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09/15/2021
Life-Long Multi-Task Learning of Adaptive Path Tracking Policy for Autonomous Vehicle
This paper proposes a life-long adaptive path tracking policy learning m...
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09/08/2021
Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in Federated Learning Client Selection
Federated learning (FL) is a distributed machine learning paradigm that ...
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07/22/2021
QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits
Quantum noise is the key challenge in Noisy Intermediate-Scale Quantum (...
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07/02/2021
Decision-Making Technology for Autonomous Vehicles Learning-Based Methods, Applications and Future Outlook
Autonomous vehicles have a great potential in the application of both ci...
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09/17/2020
High-precision target positioning system for unmanned vehicles based on binocular vision
Unmanned vehicles often need to locate targets with high precision durin...
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09/01/2020
Stochastic Graph Recurrent Neural Network
Representation learning over graph structure data has been widely studie...
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09/01/2020
Autonomous Formula Racecar: Overall System Design and Experimental Validation
This paper develops and summarizes the work of building the autonomous i...
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07/11/2020
Driver Behavior Modelling at the Urban Intersection via Canonical Correlation Analysis
The urban intersection is a typically dynamic and complex scenario for i...
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07/04/2020
A Survey on Sensor Technologies for Unmanned Ground Vehicles
Unmanned ground vehicles have a huge development potential in both civil...
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08/31/2019
From perception to control: an autonomous driving system for a formula student driverless car
This paper introduces the autonomous system of the "Smart Shark II" whic...
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05/29/2019
Choosing Transfer Languages for Cross-Lingual Learning
Cross-lingual transfer, where a high-resource transfer language is used ...
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12/13/2018
Towards a General-Purpose Linguistic Annotation Backend
Language documentation is inherently a time-intensive process; transcrip...
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06/02/2018
