30 citations · 41 across the 19 of their papers we have counts for
5 papers · 1 filter
Evaluating Parametric Car-Following Models in Naturalistic Congestion: Insights in Driver Behavior and Model Limitations
Huaidian Hou, Arpan Kusari, Brian T. W. Lin
Car-Following is a broadly studied state of driving, and many modeling approaches through various heuristics and engineering methods have been proposed. Congestion is a common traf…
Advanced Assistance for Traffic Crash Analysis: An AI-Driven Multi-Agent Approach to Pre-Crash Reconstruction
Gerui Xu, Boyou Chen, Huizhong Guo +6
Traffic collision reconstruction traditionally relies on human expertise and can be accurate, but pre-crash reconstruction is more challenging. This study develops a multi-agent AI…
Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling
Hojun Son, Asma Almutairi, Arpan Kusari
Context bias refers to the association between the foreground objects and background during the object detection training process. Various methods have been proposed to minimize th…
MatPredict: a dataset and benchmark for learning material properties of diverse indoor objects
Yuzhen Chen, Hojun Son, Arpan Kusari
Determining material properties from camera images can expand the ability to identify complex objects in indoor environments, which is valuable for consumer robotics applications.…
Car-STAGE: Automated framework for large-scale high-dimensional simulated time-series data generation based on user-defined criteria
Asma A. Almutairi, David J. LeBlanc, Arpan Kusari
Generating large-scale sensing datasets through photo-realistic simulation is an important aspect of many robotics applications such as autonomous driving. In this paper, we consid…