A Vehicular Crowdsensing Market for AVs
Author:
Affiliation:
1. Computer Science Department, University of South Florida, Tampa, FL, USA
2. Computer Science Department, Florida Polytechnic University, Lakeland, FL, USA
Funder
National Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Mechanical Engineering,Automotive Engineering
Link
https://ieeexplore.ieee.org/ielam/8784355/9680328/9743570-aam.pdf
Reference23 articles.
1. Collaborative vehicle sensing in bus networks: A Stackelberg game approach
2. Crowdsourcing to smartphones
3. An Incentive Mechanism for Crowdsensing Markets With Multiple Crowdsourcers
4. An iterative incentive mechanism design for crowd sensing using best response dynamics
5. Maximizing spatial–temporal coverage in mobile crowd-sensing based on public transports with predictable trajectory
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1. SenseNow: A Time-Dependent Incentive Approach for Vehicular Crowdsensing;IEEE Open Journal of Intelligent Transportation Systems;2024
2. The DAO to Social Transportation: Towards Smart Mobility in Cyber-Physical-Social Space;2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2023-10-01
3. MSIT-Det: Multi-Scale Feature Aggregation with Iterative Transformer Networks for 3D Object Detection;2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC);2023-09-24
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