Rubric-to-Map Framework for VLM Auditing, Semantic Calibration, and Point-Level Urban Perception Mapping from Street-View Imagery (Wuhan Tiandi case study).
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Updated
Apr 7, 2026 - Python
Rubric-to-Map Framework for VLM Auditing, Semantic Calibration, and Point-Level Urban Perception Mapping from Street-View Imagery (Wuhan Tiandi case study).
PyTorch training engine for urban perception modeling. Uses ViT multi-head architecture to learn human preferences from pairwise comparisons, with TrueSkill-regularized ranking loss and Optuna HPO.
The goal is to visualize processed point clouds on RViz2 using PCL and ROS2
Web mapping of perceived safety of bus stops in Detroit
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