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Using VR Generated Pedestrian Behaviors in Autonomous Vehicle Simulations

  • Christopher R. HudsonEmail author
  • Shuchisnigdha Deb
  • Christopher Goodin
  • Daniel W. Carruth
Conference paper
  • 178 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1207)

Abstract

Simulation is a requirement for the safe and effective deployment of autonomous vehicle software given the wide range of possible scenarios which a vehicle can experience. These simulations need to accurately represent interactions with not just other vehicles, but also pedestrians. Humans often do not move in a perfectly linear way when interacting with the objects around them. Their position and rotations change as their focus and interest is piqued in various directions. Data collected by Deb et al. shows pedestrians in VR do not react the same to autonomous vehicles as they do to manned vehicles. Therefore, it is not suitable nor desirable to use straight line paths with pedestrian animations in simulation environments. In this experiment, we leverage the position and rotation data collected by Deb et al. during VR pedestrian crosswalk studies as a source for realistic pathing behaviors for animated pedestrians in the Mississippi Autonomous Vehicle Simulator.

Keywords

Modeling and simulation Pedestrian behavior 

References

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    Deb, S., Carruth, D.W., Fuad, M., Stanley, L.M., Frey, D.: Comparison of child and adult pedestrian perspectives of external features on autonomous vehicles using virtual reality experiment. In: International Conference on Applied Human Factors and Ergonomics 2019, pp. 145–156. Springer, Cham (2019)Google Scholar
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    Goodin, C., Carruth, D., Doude, M., Hudson, C.: Predicting the influence of rain on LIDAR in ADAS. Electronics 8(1), 89 (2019)CrossRefGoogle Scholar
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    Deb, S., Carruth, D.W., Hudson, C.R.: How communicating features can help pedestrian safety in the presence of self-driving vehicles: virtual reality experiment. IEEE Trans. Hum.-Mach. Syst. 1–11 (2020).  https://doi.org/10.1109/thms.2019.2960517

Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Christopher R. Hudson
    • 1
    Email author
  • Shuchisnigdha Deb
    • 2
  • Christopher Goodin
    • 1
  • Daniel W. Carruth
    • 1
  1. 1.Center for Advanced Vehicular SystemsMississippi State UniversityMississippi StateUSA
  2. 2.Department of Industrial, Manufacturing, and Systems EngineeringThe University of Texas at ArlingtonArlingtonUSA

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