Semi-autonomous parking for enhanced safety and efficiency.

Details

• Creators:
  Vishwanath, Sriram
• Corporate Creators:
  University of Texas at Austin. Data-Supported Transportation Operations & Planning Center (D-STOP)
• Corporate Contributors:
  University Transportation Centers Program (U.S.)
• Subject/TRT Terms:
  Automobile Navigation Systems Computer Vision Intelligent Vehicles Localization Based Navigation Mobile Communication Systems Motor Vehicle Navigational Aids Motor Vehicle Operations Parking Parking Facilities Parking Guidance Systems Semi-autonomous Parking Vehicle To Roadside Communications

  More +
• Publication/ Report Number:
  D-STOP/2017/105
• Resource Type:
  Tech Report
• Geographical Coverage:
  Texas ; United States
• Corporate Publisher:
  University of Texas at Austin. Data-Supported Transportation Operations & Planning Center (D-STOP)
• Abstract:
  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.
• Format:
  PDF
• Funding:
  DTRT13-G-UTC58
• Collection(s):
  University Transportation Centers US Transportation Collection
• Main Document Checksum:
  urn:sha256:f665af79b5c6ab27628308f47e83ca6da216a98a8679b00197d6a6a1e3c3c46a
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/32608/dot_32608_DS1.pdf
• File Type:
  [PDF - 1.25 MB ]