A Workflow for Map Creation in Autonomous Vehicle Simulations

Fuente: arXiv
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Hauptverfasser: Islam, Zubair, Ansari, Ahmaad, Daoud, George, El-Darieby, Mohamed
Format: Preprint
Veröffentlicht: 2025
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author Islam, Zubair
Ansari, Ahmaad
Daoud, George
El-Darieby, Mohamed
author_facet Islam, Zubair
Ansari, Ahmaad
Daoud, George
El-Darieby, Mohamed
contents The fast development of technology and artificial intelligence has significantly advanced Autonomous Vehicle (AV) research, emphasizing the need for extensive simulation testing. Accurate and adaptable maps are critical in AV development, serving as the foundation for localization, path planning, and scenario testing. However, creating simulation-ready maps is often difficult and resource-intensive, especially with simulators like CARLA (CAR Learning to Act). Many existing workflows require significant computational resources or rely on specific simulators, limiting flexibility for developers. This paper presents a custom workflow to streamline map creation for AV development, demonstrated through the generation of a 3D map of a parking lot at Ontario Tech University. Future work will focus on incorporating SLAM technologies, optimizing the workflow for broader simulator compatibility, and exploring more flexible handling of latitude and longitude values to enhance map generation accuracy.
format Preprint
id arxiv_https___arxiv_org_abs_2508_16856
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Workflow for Map Creation in Autonomous Vehicle Simulations
Islam, Zubair
Ansari, Ahmaad
Daoud, George
El-Darieby, Mohamed
Robotics
Artificial Intelligence
Graphics
The fast development of technology and artificial intelligence has significantly advanced Autonomous Vehicle (AV) research, emphasizing the need for extensive simulation testing. Accurate and adaptable maps are critical in AV development, serving as the foundation for localization, path planning, and scenario testing. However, creating simulation-ready maps is often difficult and resource-intensive, especially with simulators like CARLA (CAR Learning to Act). Many existing workflows require significant computational resources or rely on specific simulators, limiting flexibility for developers. This paper presents a custom workflow to streamline map creation for AV development, demonstrated through the generation of a 3D map of a parking lot at Ontario Tech University. Future work will focus on incorporating SLAM technologies, optimizing the workflow for broader simulator compatibility, and exploring more flexible handling of latitude and longitude values to enhance map generation accuracy.
title A Workflow for Map Creation in Autonomous Vehicle Simulations
topic Robotics
Artificial Intelligence
Graphics
url https://arxiv.org/abs/2508.16856