Multi-Camera System Based Driver Behavior Analysis

Understanding driver behavior is an essential component in human-centric driver systems. Particularly, driver’s interaction with the environment is an important factor in controlling the vehicle, though there have been very few research studies on analyzing driver behavior. Multi-camera array system has a variety of applications because of its improved resolution, frame rate, depth of field, dynamic range and disparity map from such system. In this report the authors present an implementation of multi-camera array system with GoPro cameras to interact with the external environment of a moving vehicle on streets. So far, the major contribution contains specific analysis of GoPro hardware and protocol, integrating the system with various sensors to collect both internal and external environment information. The authors also introduce a calibration and rectification method with bundle adjustment for the multi-camera array and optimize the calibration algorithm of First Person Vision glasses. The goal is to implement real-time intention prediction of drivers with the multi-camera array system.

• Record URL:
  http://ppms.cit.cmu.edu/media/project_files/Multi-Camera_System_Based_Driver_Behavior.pdf
• Record URL:
  http://utc.ices.cmu.edu/utc/Penn%20Reports%202013/Shi%20Final%20Report.pdf
• 
• Summary URL:
  http://utc.ices.cmu.edu/utc/projectitem.asp?ID=103
• Supplemental Notes:
  • This research was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  University of Pennsylvania, Philadelphia

  School of Engineering and Applied Science
  Philadelphia, PA  United States  19104-6315

  Technologies for Safe and Efficient Transportation University Transportation Center

  Carnegie Mellon University
  Pittsburgh, PA  United States  15213

  Research and Innovative Technology Administration

  University Transportation Centers Program
  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Authors:
  • Shi, Jianbo
  • Niu, Yedong
  • Wang, Qiong
• Publication Date: 2013-12-16

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Report
• Features: Figures; Photos; References; Tables;
• Pagination: 12p

Subject/Index Terms

• TRT Terms: Behavior; Cameras; Drivers; In vehicle sensors; Real time information
• Uncontrolled Terms: Driver-environment interaction
• Subject Areas: Highways; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01668815
• Record Type: Publication
• Files: UTC, TRIS, RITA, ATRI, USDOT
• Created Date: May 9 2018 4:22PM