Vehicle Autonomy, Safety, and Security via Mobile Crowdsensing
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Vehicular Sensing".
Deadline for manuscript submissions: closed (31 March 2023) | Viewed by 1963
Special Issue Editors
Interests: localization; positioning; optimization; estimation; tracking; signal processing; networking; model mismatch mitigation; interference cancellation and mitigation; standardization
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are pleased to invite you to contribute to a Special Issue of Sensors on “Vehicle Autonomy, Safety, and Security via Mobile Crowdsensing”. In the early 2000s, tremendous efforts were made in wireless sensor networks with the rapid increase in the need for sensing surroundings to enable system automation based on the readings from sensors. The concept of wireless sensor networks has migrated to vehicular networks with the advent of emerging vehicle technologies, particularly autonomous vehicles, where each vehicle reads its driving environment for improving not only user convenience and safety, but also network efficiency via mobile crowdsensing, which will be key to opening up new possibilities for better mobility experiences and zero fatality. However, many issues remain to be solved for practical uses.
The aim of this Special Issue is to discuss the challenges and strategies for vehicle autonomy, safety, and security with sharing up-to-date methods and applications of mobile crowdsensing. In this Special Issue, original research articles and reviews are welcome. Topics of interest include, but are not limited to:
- System configuration and architecture design for mobile crowdsensing ;
- Task management and incentive mechanisms;
- Protocols and algorithms for mobile crowdsensing (routing, access control, data aggregation and deduplication, etc.);
- Privacy, security, and data integrity (untruthful reports detection and mitigation);
- Traffic/environment sensing and prediction (e.g., cooperative adaptive cruise control);
- Enabling technologies for vehicle autonomy, safety, and security;
- Applications of artificial intelligence;
- Testbeds and testing.
Dr. Sangwoo Lee
Dr. Deok Won Lim
Guest Editors
Manuscript Submission Information
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