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LGSVL Simulator: A High Fidelity Simulator for Autonomous Driving
Testing autonomous driving algorithms on real autonomous vehicles is extremely costly and many researchers and developers in the field cannot afford a real car and the corresponding sensors. Although several free and open-source autonomous driving stacks, such as Autoware and Apollo are available, c...
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Published in: | arXiv.org 2020-06 |
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creator | Rong, Guodong Shin, Byung Hyun Tabatabaee, Hadi Lu, Qiang Lemke, Steve Možeiko, Mārtiņš Boise, Eric Uhm, Geehoon Gerow, Mark Mehta, Shalin Agafonov, Eugene Tae Hyung Kim Sterner, Eric Ushiroda, Keunhae Reyes, Michael Zelenkovsky, Dmitry Kim, Seonman |
description | Testing autonomous driving algorithms on real autonomous vehicles is extremely costly and many researchers and developers in the field cannot afford a real car and the corresponding sensors. Although several free and open-source autonomous driving stacks, such as Autoware and Apollo are available, choices of open-source simulators to use with them are limited. In this paper, we introduce the LGSVL Simulator which is a high fidelity simulator for autonomous driving. The simulator engine provides end-to-end, full-stack simulation which is ready to be hooked up to Autoware and Apollo. In addition, simulator tools are provided with the core simulation engine which allow users to easily customize sensors, create new types of controllable objects, replace some modules in the core simulator, and create digital twins of particular environments. |
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identifier | EISSN: 2331-8422 |
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language | eng |
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subjects | Algorithms Computer simulation Driving Object recognition Sensors Simulator fidelity Simulators |
title | LGSVL Simulator: A High Fidelity Simulator for Autonomous Driving |
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