ITSC 2024 Paper Abstract

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Paper WeAT14.5

Vargas, Daniel (University of Oklahoma), Haque, Ethan (University of Oklahoma), Carroll, Matthew (University of Oklahoma), Perez Melo, Daniel Andres (University of Okahoma), Roman, Tyler (University of Oklahoma), Nguyen, Phong (University of OKlahoma), Habibi, Golnaz (University of Oklahoma)

Design and Implementation of Smart Infrastructures and Connected Vehicles in a MiniCity Platform

Scheduled for presentation during the Poster Session "Validation, simulation, and virtual testing I" (WeAT14), Wednesday, September 25, 2024, 10:30−12:30, Foyer

2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), September 24- 27, 2024, Edmonton, Canada

This information is tentative and subject to change. Compiled on December 26, 2024

Keywords Infrastructure for Charging, Communication and Controls, Multi-autonomous Vehicle Studies, Models, Techniques and Simulations, Simulation and Modeling

Abstract

This paper presents a 1/10th scale mini-city platform used as a testing bed for evaluating autonomous and connected vehicles. Using the mini-city platform, we can evaluate different driving scenarios including human-driven and autonomous driving. We provide a unique, visual feature-rich environment for evaluating computer vision methods. The conducted experiments utilize onboard sensors mounted on a robotic platform we built, allowing them to navigate in a controlled real-world urban environment. The designed city is occupied by cars, stop signs, a variety of residential and business buildings, and complex intersections mimicking an urban area. Furthermore, We have designed an intelligent infrastructure at one of the intersections in the city which helps safer and more efficient navigation in the presence of multiple cars and pedestrians. We have used the mini-city platform for the analysis of three different applications: city mapping, depth estimation in challenging occluded environments, and smart infrastructure for connected vehicles. Our smart infrastructure is among the first to develop and evaluate Vehicle-to-Infrastructure (V2I) communication at intersections. The intersection-related result shows how inaccuracy in perception, including mapping and localization, can affect safety. The proposed mini-city platform can be considered as a baseline environment for developing research and education in intelligent transportation systems.

 

 

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