Work

ICAT: An Indoor Connected and Autonomous Testbed for Vehicle Computing

Year: 2024

Type: conference-paper

Abstract: Indoor autonomous driving testbeds have emerged to complement expensive outdoor testbeds and virtual simulations, offering scalable and cost-effective solutions for research in navigation, traffic optimization, and swarm intelligence. However, they often lack the robust sensing and computing infrastructure for advanced research. Addressing these limitations, we introduce the Indoor Connected Autonomous Testbed (ICAT), a platform that not only tackles the unique challenges of indoor autonomous driving but also innovates vehicle computing and V2X communication. Moreover, ICAT leverages digital twins through CARLA and SUMO simulations, facilitating both centralized and decentralized autonomy deployments.

Source: IEEE International Conference on Mobility, Operations, Services and Technologies (MOST)

DOI: 10.1109/most60774.2024.00033

Authors: Zhaofeng Tian, Yuankai He, Boyang Tian, Ren Zhong, Erfan Foorginejad, Weisong Shi

Institutions: University of Delaware, Wayne State University

Language: English

Topic: Autonomous Vehicle Technology and Safety

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

Funder: National Science Foundation