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

Zhao, Ding; Wu, Zhiwei Steven

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

2023-08-01
By Zhao, Ding ; Wu, Zhiwei Steven

File Language:

English

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:

Analysis Autonomous Vehicles Data Privacy Highways Mobility Applications Robots 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
Collection(s):

University Transportation Centers Autonomous Vehicles
Main Document Checksum:

urn:sha-512:42b0d7d8ef0f620fcd7e9b91be38c897c075a7a6f82f5b6809b6ca2920665e8b22edf5b1ec87988032ee6a97d84af95014f91a8b5f993b6cd1ce79fbf4812d3b
Download URL:

https://rosap.ntl.bts.gov/view/dot/68539/dot_68539_DS1.pdf
File Type:

[PDF - 198.06 KB ]

File Language:

English

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