Vision-based Autonomous Ground Vehicle Design Within a Mixed Environment

International trade is growing rapidly, and with this growth come challenges due to port congestion, along with concerns for human security and safety. Congestion due to the lack of inland ports and massive demands due to shipping volume have resulted in delays in processing time, inefficiencies in the use of port resources, and high cost. Air pollution due to idling vehicles also contributes to the challenges faced in the design of future port terminals. The objective of this project is to provide a solution to the port challenges through increased use of technology. In particular, we believe a solution can be found in the Automated Terminal (AT) and the use of Autonomous Ground Vehicles (AGVs) in the Port of the Future. Autonomous (robotic) vehicles in particular are a focus of interest because appropriate use of such vehicles can alleviate congestion and air pollution in future port terminals while enhancing safety and security. AGVs can possess sophisticated software algorithms that deal with these issues. In particular, the project will focus on applying the knowledge we gained through participation in the DARPA Grand Challenge, along with vision research we have been performing, and research by others in the autonomous vehicle community, to the problem of autonomous ground vehicle vision in mixed (human and robot) environments. The environment that will be studied most closely is the port terminal environment.

Language

• English

Project

• Status: Active
• Funding: $89613.00
• Contract Numbers:

  07-09

• Sponsor Organizations:

  National Center for Metropolitan Transportation Research

  University of Southern California
  650 Childs Way, RGL 107
  Los Angeles, CA  United States  90089-0626
• Project Managers:

  Valentine, Victoria

• Performing Organizations:

  University of Southern California, Los Angeles

  University Park Campus
  Los Angeles, CA  United States  90089
• Principal Investigators:

  Parker, Alice

• Start Date: 20060901
• Expected Completion Date: 0
• Actual Completion Date: 0
• Source Data: RiP Project 26563

Subject/Index Terms

• TRT Terms: Air pollution; Air quality management; Automated vehicle control; Autonomous land vehicles; Marine terminals; Port congestion; Ports; Robotics
• Subject Areas: Freight Transportation; Marine Transportation; Terminals and Facilities;

Filing Info

• Accession Number: 01461381
• Record Type: Research project
• Source Agency: National Center for Metropolitan Transportation Research
• Contract Numbers: 07-09
• Files: RiP
• Created Date: Jan 3 2013 1:45PM