Semi-Autonomous Parking for Enhanced Safety and Efficiency

This project focuses on the use of tools from a combination of computer vision and localization based navigation schemes to aid the process of efficient and safe parking of vehicles in high density parking spaces. The principles of collision avoidance, simultaneous localization and mapping together with vision based actuation in robotics will be used to enable this functionality.

Language

• English

Project

• Status: Completed
• Funding: $33000
• Contract Numbers:

  DTRT13-G-UTC58

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Project Managers:

  Bhat, Chandra

• Performing Organizations:

  Data-Supported Transportation Operations and Planning Center

  University of Texas at Austin
  Austin, TX  United States  78701
• Principal Investigators:

  Vishwanath, Sriram

• Start Date: 20140410
• Expected Completion Date: 20170630
• Actual Completion Date: 0
• Source Data: 105

Subject/Index Terms

• TRT Terms: Autonomous vehicle guidance; Computer vision; Crash avoidance systems; Mapping; Parking; Robotics; Safety
• Subject Areas: Highways; Operations and Traffic Management; Vehicles and Equipment;

Filing Info

• Accession Number: 01579954
• Record Type: Research project
• Source Agency: Data-Supported Transportation Operations and Planning Center
• Contract Numbers: DTRT13-G-UTC58
• Files: UTC, RIP
• Created Date: Oct 29 2015 9:45AM