Past Projects

OSU Autonomous Vehicles

OSU Bus Location System (BLIS)

Cars Passing on I-15 (QuickTime)

OSU SafeNet Project Presentation


"Development of a GPS/GIS Real-Time Curve Warning System"
Prof. John Bossler and Dr. George Dedes, Center for Mapping

Abstract: The objective of this research is to develop a prototype real-time curve warning system that will lead to a successful commercial product. The proposed system will consist of a GPS receiver connected to a laptop computer. The laptop computer will contain a digital map database (GIS) for the area of interest. This database, together will the real-time basic components for the computations needed for a curve warning system. The speed of the vehicle will be computed either using the GPS Doppler measurements or readouts from the speedometer.

"High Speed Visual Sensing and Sensor Fusion for Intelligent Vehicles"
Prof. Kim Boyer, Electrical Engineering

Abstract: In continuing work begun over the past two years, we are developing on-board machine visions systems to support, ultimately:

  • Enhanced driver safety support in the form of multidirectional collision warnings, automatic braking, and collision avoidance.
  • Local control and error recovery for a high-speed uniform headway spacing policy on intelligent vehicle highway systems.

    • To achieve these ends in the most general scenario, the sensory system must form and maintain a model of the motion field initially to the front of, but eventually all around, the vehicle. The motion field may be inferred from the optical flow field, as extracted from visual data. Note that this does not necessarily imply a complete optical flow field; we belive success may lie in the well-chosen sparse subset of the flow field.

    "INtelligent TRaffic Evaluator for Prompt Incident Detection using a Reality Engine (INTREPID-RE)"
    Prof. Fabian Hadipriono, Civil Engineering

    Abstract: The objective of our proposed study is to develop an advanced prototype--INtelligent TRaffic Evaluator for Prompt Incident Diagnosis using Reality Engine (INTREPID-RE)--that has three dimensional, interactive, immersive, realistic, and intelligent features. The model will be developed using a graphic supercomputer, the Onxy Reality Engine2 (Onyx RE2).

    "A GIS-based Object-oriented Travel Decision Support System for ITS"
    Prof. Mei-po Kwan, Geography

    Abstract: The objective of this research is to develop a multi-strategy travel decision support system capable of providing travel choices other then rerouting when a traveler faces unexpected traffic delay in the context of ITS. This sytem will be based on a new object-oriented geographic information system (GIS) data model.

    "Fault Tolerant Automated Highway Systems"
    Prof. Kevin Passino, Electrical Engineering

    Abstract: Safety and reliability are central issues in the development and deployment of AHS. In this study we are investigating the development of fault tolerant control algorithms (for tire blow-out, brake failures, and AHS sensor failures). In addition, we are studying methods to manage the lateral and longitudinal control of vehicles that have been determined to be faulty. Whether their faulty operation was identified in AHS "check-in" or during automated driving, the goal is to develop automated "check-out" procedures to safely move a vehicle out of the AHS when there is a failure.

    "Automatic Steering and Speed Controller Design for Ground Vehicles"
    Dr. Konur Unyelioglu, Electrical Engineering

    Abstract: This proposal is concerned with the development of an autonomous steering and speed control system for a ground vehicle. In the proposed study, our goal is to continue the last year's IVHS-OSU seed grant project by improving the existing control system. The proposed study includes the demonstration of the following tasks: adaptive speed control, autonomous steering control at highway speeds, autonomous lane change control, and vehicle following.

    "Radar-Based Convoying Using a Frequency Selective Surface Radar Patch"
    Dr. Jonathan Young and Dr.Lee Henderson, Electrical Engineering

    Abstract: During the 1995 IVHS-OSU Program, a radar was designed to provide simultaneous guidance and headway sensing at 10 GHz frequencies. This 1996 grant provides support for component purchases and graduate student time to construct this radar. The system will operate in a chirp mode over 8 to 12 GHz, and at ranges out to at least 100ft. It will provide vehicle velocity, vehicle steering, and distance to the vehicle ahead at an update rate of at least 20 times per second. The radar will use automatic gain control processing in order to operate under all weather conditions.