Facilitating Autonomous Vehicle Research and Development Using Robot Simulators on the Example of a KAMAZ NEO Truck
| Autor: | Anton Kim, Anuar Nurlybayev, Sergey Soltan, Almas Shintemirov, Zhandos Yessenbayev, Nurzhan Yesmagambet, Elizaveta Shpieva, Shyngyskhan Abilkassov |
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| Rok vydání: | 2020 |
| Předmět: |
Truck
050210 logistics & transportation Computer science business.industry 05 social sciences 02 engineering and technology Field (computer science) Software 0502 economics and business 0202 electrical engineering electronic engineering information engineering Global Positioning System Systems engineering Robot 020201 artificial intelligence & image processing Dashboard business |
| Zdroj: | ITSC |
| DOI: | 10.1109/itsc45102.2020.9294716 |
| Popis: | With the widespread of research in the field of autonomous vehicles the value and impact of various simulators increase dramatically as they allow for quick and safe experimentation with the design of a vehicle, environment and driving scenarios. In this paper, the authors demonstrate how autonomous vehicle research and development can be facilitated by open-source robot simulators based on the experience gained from a robotized KAMAZ NEO truck industrial project. In particular, the Webots robot simulator was applied for 3D reconstruction of the experimental test-site for vehicle motion simulation and development of a web-based dashboard for controlling and monitoring the autonomous vehicle both in the simulation and the real-world. |
| Databáze: | OpenAIRE |
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