Three-dimensional simulation for training autonomous vehicles in smart city environments

Phuong Minh Chu, Mingyun Wen, Jisun Park, Huang Kaisi, Kyungeun Cho

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

1 Scopus citations

Abstract

This paper proposes a photorealistic 3D city simulation method for training autonomous vehicles. The proposed method incorporates human simulation, animal simulation, vehicle simulation, and traffic light simulation. To generate natural actions for humans and animals, a motivation-based approach is first applied; then the Q-Network is used to select optimal goals depending on the motivations, and action plans are made based on a hierarchical task network. For vehicles, affinity propagation, data augmentation, and convolutional neural network are employed to generate driver driving data for realistic vehicle movement simulation. A traffic light system is also implemented based on rules derived from real-life observation. The results of experiments in which a virtual city was created demonstrate that the proposed method can simulate city environments naturally. The proposed method can be applied to various smart city applications, such as autonomous vehicle training systems.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE International Congress on Cybermatics
Subtitle of host publication12th IEEE International Conference on Internet of Things, 15th IEEE International Conference on Green Computing and Communications, 12th IEEE International Conference on Cyber, Physical and Social Computing and 5th IEEE International Conference on Smart Data, iThings/GreenCom/CPSCom/SmartData 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages848-853
Number of pages6
ISBN (Electronic)9781728129808
DOIs
StatePublished - Jul 2019
Event12th IEEE International Conference on Internet of Things, 15th IEEE International Conference on Green Computing and Communications, 12th IEEE International Conference on Cyber, Physical and Social Computing and 5th IEEE International Conference on Smart Data, iThings/GreenCom/CPSCom/SmartData 2019 - Atlanta, United States
Duration: 14 Jul 201917 Jul 2019

Publication series

NameProceedings - 2019 IEEE International Congress on Cybermatics: 12th IEEE International Conference on Internet of Things, 15th IEEE International Conference on Green Computing and Communications, 12th IEEE International Conference on Cyber, Physical and Social Computing and 5th IEEE International Conference on Smart Data, iThings/GreenCom/CPSCom/SmartData 2019

Conference

Conference12th IEEE International Conference on Internet of Things, 15th IEEE International Conference on Green Computing and Communications, 12th IEEE International Conference on Cyber, Physical and Social Computing and 5th IEEE International Conference on Smart Data, iThings/GreenCom/CPSCom/SmartData 2019
Country/TerritoryUnited States
CityAtlanta
Period14/07/1917/07/19

Keywords

  • 3D simulation
  • Autonomous vehicle
  • Convolutional neural network
  • Q-network
  • Smart city

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