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AIBA: An AI Model for Behavior Arbitration in Autonomous Driving

  • Bogdan TrăsneaEmail author
  • Claudiu Pozna
  • Sorin M. Grigorescu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11909)

Abstract

Driving in dynamically changing traffic is a highly challenging task for autonomous vehicles, especially in crowded urban roadways. The Artificial Intelligence (AI) system of a driverless car must be able to arbitrate between different driving strategies in order to properly plan the car’s path, based on an understandable traffic scene model. In this paper, an AI behavior arbitration algorithm for Autonomous Driving (AD) is proposed. The method, coined AIBA (AI Behavior Arbitration), has been developed in two stages: (i) human driving scene description and understanding and (ii) formal modelling. The description of the scene is achieved by mimicking a human cognition model, while the modelling part is based on a formal representation which approximates the human driver understanding process. The advantage of the formal representation is that the functional safety of the system can be analytically inferred. The performance of the algorithm has been evaluated in Virtual Test Drive (VTD), a comprehensive traffic simulator, and in GridSim, a vehicle kinematics engine for prototypes.

Keywords

Behavior arbitration Context understanding Autonomous driving Self-driving vehicles Artificial intelligence 

Notes

Acknowledgments

We hereby acknowledge Elektrobit Automotive, Széchenyi István University, and the TAMOP - 4.2.2.C-11/1/KONV-2012-0012 Project “Smarter Transport - IT for co-operative transport system” for providing the infrastructure and for support during research.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Bogdan Trăsnea
    • 1
    • 2
    Email author
  • Claudiu Pozna
    • 1
    • 3
  • Sorin M. Grigorescu
    • 1
    • 2
  1. 1.Robotics, Vision and Control LabTransilvania University of BrasovBraşovRomania
  2. 2.Department of Artificial IntelligenceElektrobit AutomotiveTimişoaraRomania
  3. 3.Department of InformaticsSzéchenyi István University of GyõrGyõrHungary

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