5 citations · 8 across the 10 of their papers we have counts for
5 papers · 1 filter
SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data
Liang Shi, Boyu Jiang, Zhenyuan Yuan +2
Driving-related safety-critical events (SCEs), including crashes and near-crashes, provide essential insights for the development and safety evaluation of automated driving systems…
Learning Evacuee Models from Robot-Guided Emergency Evacuation Experiments
Mollik Nayyar, Ghanghoon Paik, Zhenyuan Yuan +4
Recent research has examined the possibility of using robots to guide evacuees to safe exits during emergencies. Yet, there are many factors that can impact a person's decision to…
Multi-Robot-Guided Crowd Evacuation: Two-Scale Modeling and Control
Tongjia Zheng, Zhenyuan Yuan, Mollik Nayyar +3
Emergency evacuation describes a complex situation involving time-critical decision-making by evacuees. Mobile robots are being actively explored as a potential solution to provide…
Multi-Robot-Assisted Human Crowd Evacuation using Navigation Velocity Fields
Tongjia Zheng, Zhenyuan Yuan, Mollik Nayyar +3
This work studies a robot-assisted crowd evacuation problem where we control a small group of robots to guide a large human crowd to safe locations. The challenge lies in how to mo…
Data-Driven Distributed State Estimation and Behavior Modeling in Sensor Networks
Rui Yu, Zhenyuan Yuan, Minghui Zhu +1
Nowadays, the prevalence of sensor networks has enabled tracking of the states of dynamic objects for a wide spectrum of applications from autonomous driving to environmental monit…