A unified approach to semi-autonomous control of passenger vehicles in hazard avoidance scenarios

  • Authors:

  • Sterling J. Anderson;Steven C. Peters;Karl D. Iagnemma;Tom E. Pilutti

  • Affiliations:

  • Dept. of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA;Dept. of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA;Dept. of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA;Ford Research Laboratories, Ford Motor Company, Dearborn, MI

  • Venue:
  • SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
  • Year:
  • 2009

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Abstract

This paper describes the design of unified active safety framework that combines trajectory planning, threat assessment, and semi-autonomous control of passenger vehicles into a single constrained-optimal-control-based system. This framework allows for multiple actuation modes, diverse trajectory-planning objectives, and varying levels of autonomy. The vehicle navigation problem is formulated as a constrained optimal control problem with constraints bounding a navigable region of the road surface. A model predictive controller iteratively plans the best-case vehicle trajectory through this constrained corridor. The framework then uses this trajectory to assess the threat posed to the vehicle and intervenes in proportion to this threat. This approach minimizes controller intervention while ensuring that the vehicle does not depart from a navigable corridor of travel. Simulated results are presented here to demonstrate the framework's ability to incorporate multiple threat thresholds and configurable intervention laws while sharing control with a human driver.