Real-Time and High-Fidelity Simulation Environment for Autonomous Ground Vehicle Dynamics

Abstract

Integrated simulation capabilities that are high-fidelity, fast, and have scalable architecture are essential to support autonomous vehicle design and performance assessment for the U.S. Army's growing use of unmanned ground vehicles (UGV). The HMMWV simulation described in this paper embodies key features of the real vehicle, including a complex suspension and steering dynamics, wheel-soil models, navigation, and control. This research uses advanced multibody techniques such as minimal coordinate representations with constraint embedding to model complex unmanned ground vehicles for fast mechanical simulations with high fidelity. In this work, we demonstrate high-fidelity dynamics models for autonomous UGV simulations in near real time that can be useful to the U.S. Army for future autonomous ground vehicle dynamics modeling and analysis research.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2013
Accession Number
ADA589606

Entities

People

  • Abhi Jain
  • Calvin Kuo
  • Havard Grip
  • Jim Overholt
  • Jonathan Cameron
  • Paramsothy Jayakumar
  • Steven Myint

Organizations

  • California Institute of Technology

Tags

Communities of Interest

  • Autonomy
  • Ground and Sea Platforms
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Autonomous Systems
  • Autonomous Vehicles
  • Autonomy
  • Collision Avoidance
  • Equations Of Motion
  • Ground Vehicles
  • Jet Propulsion
  • Motion Planning
  • Navigation
  • Operating Systems
  • Reliability
  • Simulations
  • Systems Engineering
  • Three Dimensional
  • Topology
  • Unmanned Ground Vehicles

Readers

  • Computational Fluid Dynamics (CFD)
  • Robotics and Automation.

Technology Areas

  • Autonomy