Privacy-Aware Autonomous Valet Parking: Towards Experience Driven Approach

Pokhrel, Shiva Raj, Qu, Youyang, Nepal, Surya and Singh, Surjit 2020, Privacy-Aware Autonomous Valet Parking: Towards Experience Driven Approach, IEEE Transactions on Intelligent Transportation Systems, pp. 1-12, doi: 10.1109/tits.2020.3006337.

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Title Privacy-Aware Autonomous Valet Parking: Towards Experience Driven Approach
Author(s) Pokhrel, Shiva RajORCID iD for Pokhrel, Shiva Raj
Qu, Youyang
Nepal, Surya
Singh, Surjit
Journal name IEEE Transactions on Intelligent Transportation Systems
Start page 1
End page 12
Total pages 12
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Publication date 2020
ISSN 1524-9050
Keyword(s) Autonomous vehicles
valet parking
privacy protection
reinforcement learning.
Summary Driverless parking, an influential application of Mobility as a Service (MaaS) model, is one of the clear early benefits for autonomous vehicles, given often narrow spaces and multiple potential hazards (such as pedestrians stepping out from in between other vehicles). In recent years, real momentum has been building up for designing automated parking models for vehicles. However, in such an autonomous parking design, location privacy and identity privacy issues are always overlapping due to the improper sharing of data. Most existing studies barely investigate and poorly address such privacy issues. Motivated by this, we develop (and evaluate) an experience-driven, secure and privacy-aware framework of parking reservations for automated cars. Our idea of using differential privacy with zero-knowledge proof provides both security and privacy guarantees to users. Furthermore, the performance of the developed model is enhanced by exploiting reinforcement learning approach such that the utility of the system and the parking reservation rate can be maximized. Extensive evaluation demonstrates the superiority of the proposed model.
Notes Early Access Article
Language eng
DOI 10.1109/tits.2020.3006337
Indigenous content off
Field of Research 0801 Artificial Intelligence and Image Processing
0905 Civil Engineering
1507 Transportation and Freight Services
HERDC Research category C1 Refereed article in a scholarly journal
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Created: Mon, 24 Aug 2020, 12:51:47 EST

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