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04/03/2023
A Hierarchical Multi-Vehicle Coordinated Motion Planning Method based on Interactive Spatio-Temporal Corridors
Multi-vehicle coordinated motion planning has always been challenged to ...
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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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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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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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11/11/2021
Driver-Specific Risk Recognition in Interactive Driving Scenarios using Graph Representation
This paper presents a driver-specific risk recognition framework for aut...
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11/06/2021
Prediction of Pedestrian Spatiotemporal Risk Levels for Intelligent Vehicles: A Data-driven Approach
In recent years, road safety has attracted significant attention from re...
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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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09/17/2020
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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07/04/2019
Regeneration and Joining of the Learned Motion Primitives for Automated Vehicle Motion Planning Applications
How to integrate human factors into the motion planning system is of gre...
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09/17/2018
Learning to Segment and Represent Motion Primitives from Driving Data for Motion Planning Applications
Developing an intelligent vehicle which can perform human-like actions r...
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06/02/2018
Learning and Generalizing Motion Primitives from Driving Data for Path-Tracking Applications
Considering the driving habits which are learned from the naturalistic d...
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05/21/2018
