VLM Streetscape
Vision-Language Models for structured streetscape assessment from open street-level imagery
Vision-Language Models for structured streetscape assessment from open street-level imagery
Scene segmentation of self-built virtual urban environments for pedestrian research
Reinforcement learning for pedestrian behavior and intelligent transportation systems
EEG-based biometric signal processing for pedestrian emotion and response
VR-based driving and pedestrian simulation for human factors research
Microscopic and macroscopic traffic simulation
A computer-vision approach to walkability, active aging, and housing capitalization
Spatial analysis and urban design for sustainable city development
Urban mobility patterns and travel demand modeling
Learning Julia for optimization and autonomous driving research
Optimization benchmark function for testing algorithms