activity
20232025
most citedStop-and-go wave super-resolution reconstruction via iterative refinement

7 citations · 11 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2025

Estimation of Kinematic Motion from Dashcam Footage

Evelyn Zhang, Alex Richardson, Jonathan Sprinkle

The goal of this paper is to explore the accuracy of dashcam footage to predict the actual kinematic motion of a car-like vehicle. Our approach uses ground truth information from t…

cs.RO2025

Incorporating Ephemeral Traffic Waves in A Data-Driven Framework for Microsimulation in CARLA

Alex Richardson, Azhar Hasan, Gabor Karsai +1

This paper introduces a data-driven traffic microsimulation framework in CARLA that reconstructs real-world wave dynamics using high-fidelity time-space data from the I-24 MOTION t…

cs.RO2025

OpenTwinMap: An Open-Source Digital Twin Generator for Urban Autonomous Driving

Alex Richardson, Jonathan Sprinkle

Digital twins of urban environments play a critical role in advancing autonomous vehicle (AV) research by enabling simulation, validation, and integration with emerging generative…

eess.SY2024★ 7 cited

Stop-and-go wave super-resolution reconstruction via iterative refinement

Junyi Ji, Alex Richardson, Derek Gloudemans +6

Stop-and-go waves are a fundamental phenomenon in freeway traffic flow, contributing to inefficiencies, crashes, and emissions. Recent advancements in high-fidelity sensor technolo…

cs.RO2023★ 4 cited

Enabling Mixed Autonomy Traffic Control

Matthew Nice, Matt Bunting, Alex Richardson +8

We demonstrate a new capability of automated vehicles: mixed autonomy traffic control. With this new capability, automated vehicles can shape the traffic flows composed of other no…