GPS-Based Failure Identification System for Intelligent Vehicles

Principal Investigator(s):

Rajesh Rajamani, Professor, Chair, Mechanical Engineering

Project summary:

The objective of this project is to develop and implement a fault diagnostic system for intelligent vehicles that can monitor the health of the sensors and actuators on a vehicle and identify the source of a malfunction as soon as a malfunction occurs. The project will develop and experimentally implement model-based fault diagnostic systems for both lateral and longitudinal control of the SAFETRUCK. The existing instrumentation and software infrastructure on the SAFETRUCK will be leveraged for use in this project. The immediate benefit of this project is the development of a fault diagnostic system that will enhance the safety of the SAFETRUCK and also help improve its control system performance. The longer-term benefits of the project arise from the fundamental need for fault tolerance in both partially and fully automated vehicles. The users of this research would include automated vehicles operating at Mn/DOT's pavement research facility and Mn/DOT snowplows that are being instrumented with collision warning and lane-departure warning systems.


Project details:

  • Project number: 2000009
  • Start date: 09/1999
  • Project status: Completed
  • Research area: Transportation Safety and Traffic Flow
  • Topics: Intelligent vehicles

Reports or Products: