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portfolio
LCDP-Sim: Language-Conditioned Diffusion Policy
An end-to-end Vision-Language-Action (VLA) system utilizing Diffusion Policy to map RGB images and natural language instructions into robotic control signals.
MapNavigation: Advanced Route Planning System
A comprehensive mapping and navigation system combining OpenStreetMap data with Gaode Maps API for accurate routing and location search capabilities.
NeuralStyle: Modular Neural Style Transfer Toolkit
A comprehensive neural style transfer toolkit with modular architecture, batch processing capabilities, and interactive web interface.
publications
Learning Risk Map for Autonomous Driving in Partially Observable Environments
Published in IEEE Robotics and Automation Letters (RAL), 2025
This paper presents a novel approach for learning risk maps in autonomous driving scenarios under partial observability constraints, utilizing advanced spatiotemporal modeling and diffusion models.
Recommended citation: Hong, Y., Ding, W. et al. (2025). "Learning Risk Map for Autonomous Driving in Partially Observable Environments." IEEE Robotics and Automation Letters (RAL). (Under Review)
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