6 papers
AlloSpatial: Agentic Harness Framework for Spatial Reasoning in Foundation Models
Shouwei Ruan, Bin Wang, Zhenyu Wu +5
Multimodal Foundation Models (MFMs) have made substantial progress, yet remain fragile in spatial reasoning over the physical world. A key bottleneck lies in their inability to tra…
World2Mind: Cognition Toolkit for Allocentric Spatial Reasoning in Foundation Models
Shouwei Ruan, Bin Wang, Zhenyu Wu +4
Achieving robust spatial reasoning remains a fundamental challenge for current Multimodal Foundation Models (MFMs). Existing methods either overfit statistical shortcuts via 3D gro…
iOSPointMapper: RealTime Pedestrian and Accessibility Mapping with Mobile AI
Himanshu Naidu, Yuxiang Zhang, Sachin Mehta +1
Accurate, up-to-date sidewalk data is essential for building accessible and inclusive pedestrian infrastructure, yet current approaches to data collection are often costly, fragmen…
VLM-UDMC: VLM-Enhanced Unified Decision-Making and Motion Control for Urban Autonomous Driving
Haichao Liu, Haoren Guo, Pei Liu +4
Scene understanding and risk-aware attentions are crucial for human drivers to make safe and effective driving decisions. To imitate this cognitive ability in urban autonomous driv…
Reliable, Routable, and Reproducible: Collection of Pedestrian Pathways at Statewide Scale
Yuxiang Zhang, Bill Howe, Anat Caspi
While advances in mobility technology including autonomous vehicles and multi-modal navigation systems can improve mobility equity for people with disabilities, these technologies…
PathwayBench: Assessing Routability of Pedestrian Pathway Networks Inferred from Multi-City Imagery
Yuxiang Zhang, Bill Howe, Sachin Mehta +2
Applications to support pedestrian mobility in urban areas require a complete, and routable graph representation of the built environment. Globally available information, including…