Towards Privacy-Preserving Networked Autonomous Mobility: Analysis, Tools Development, and Real-World Evaluation

Details

• Creators:
  Zhao, Ding ; Wu, Zhiwei Steven
• Corporate Creators:
  Mobility21, Carnegie Mellon University
• Corporate Contributors:
  United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  • Autonomous vehicles
  • Data privacy
  • Robots
  • Analysis
  • Mobility applications
  • Highways
  • Vehicles and equipment
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Research Report
• Corporate Publisher:
  Mobility21, Carnegie Mellon University
• Abstract:
  The research team aims to investigate how networked autonomous mobility, such as self-driving taxis or delivery robots, will reshape our understanding of privacy and explore technical tools for privacy-preserving operation on the individual level and group level. The team will conduct comprehensive and realistic analysis using public datasets collected by self-driving companies and verify the feasibility to deploy our algorithms with edge computing on delivery robots developed by our lab. The team will report their findings to their industrial partners Bosch and Uber and Attorney General and ACLU of Penn.
• Format:
  PDF
• Funding:
  69A3551747111
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/68539/dot_68539_DS1.pdf
• File Type:
  [PDF - 198.06 KB]
• Collection(s):
  Autonomous Vehicles ; University Transportation Centers
• Main Document Checksum:
  urn:sha-512:42b0d7d8ef0f620fcd7e9b91be38c897c075a7a6f82f5b6809b6ca2920665e8b22edf5b1ec87988032ee6a97d84af95014f91a8b5f993b6cd1ce79fbf4812d3b