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Bibliographic Details
Main Authors: Vlasak, Jiri, Klapálek, Jaroslav, Kollarčík, Adam, Sojka, Michal, Hanzálek, Zdeněk
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2405.13705
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author Vlasak, Jiri
Klapálek, Jaroslav
Kollarčík, Adam
Sojka, Michal
Hanzálek, Zdeněk
author_facet Vlasak, Jiri
Klapálek, Jaroslav
Kollarčík, Adam
Sojka, Michal
Hanzálek, Zdeněk
contents Automated driving systems are an integral part of the automotive industry. Tools such as Robot Operating System and simulators support their development. However, in the end, the developers must test their algorithms on a real vehicle. To better observe the difference between reality and simulation--the reality gap--digital twin technology offers real-time communication between the real vehicle and its model. We present low fidelity digital twin generator and describe situations where automatic generation is preferable to high fidelity simulation. We validated our approach of generating a virtual environment with a vehicle model by replaying the data recorded from the real vehicle.
format Preprint
id arxiv_https___arxiv_org_abs_2405_13705
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Low Fidelity Digital Twin for Automated Driving Systems: Use Cases and Automatic Generation
Vlasak, Jiri
Klapálek, Jaroslav
Kollarčík, Adam
Sojka, Michal
Hanzálek, Zdeněk
Robotics
Automated driving systems are an integral part of the automotive industry. Tools such as Robot Operating System and simulators support their development. However, in the end, the developers must test their algorithms on a real vehicle. To better observe the difference between reality and simulation--the reality gap--digital twin technology offers real-time communication between the real vehicle and its model. We present low fidelity digital twin generator and describe situations where automatic generation is preferable to high fidelity simulation. We validated our approach of generating a virtual environment with a vehicle model by replaying the data recorded from the real vehicle.
title Low Fidelity Digital Twin for Automated Driving Systems: Use Cases and Automatic Generation
topic Robotics
url https://arxiv.org/abs/2405.13705