Enhancing Realistic Floating Car Observers in Microscopic Traffic Simulation

Jeremias Gerner, Dominik Rößle, Daniel Cremers, Klaus Bogenberger, Torsten Schön, Stefanie Schmidtner

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

We present a system that enables a realistic detection of traffic participants using Floating Car Observers (FCOs) directly within microscopic simulations. Point clouds are utilized to transform the two-dimensional simulation into a three-dimensional environment. In this environment, vehicles can be equipped with up to four camera sensors. Employing computer vision strategies, we identify which traffic participants would be detected by real-world sensor systems. We utilize the resulting system to generate datasets. In this process, various vehicles move within a simulation, recording which traffic participants would be recognized by the approach. Additionally, for each step of the simulation, an image from the current simulation and the position vectors of the traffic participants are documented. We employ the dataset to train neural networks, enabling them to replicate the results achieved using the CV method. The trained Vision Transformer and ResNet architectures achieve accuracies of up to 90%. Compared to the CV approach, the neural networks facilitate as much as 18-fold speed enhancement. We have made the source code, datasets, and trained models openly accessible at: github.com/urbanAIthi/SUMO-FCO.

Original languageEnglish
Title of host publication2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2396-2403
Number of pages8
ISBN (Electronic)9798350399462
DOIs
StatePublished - 2023
Event26th IEEE International Conference on Intelligent Transportation Systems, ITSC 2023 - Bilbao, Spain
Duration: 24 Sep 202328 Sep 2023

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
ISSN (Print)2153-0009
ISSN (Electronic)2153-0017

Conference

Conference26th IEEE International Conference on Intelligent Transportation Systems, ITSC 2023
Country/TerritorySpain
CityBilbao
Period24/09/2328/09/23

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