International Conference on Data Science for Autonomous Vehicles ICDSAV

Call For Papers

The ICDSAV bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Data Science , encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

Data science techniques for autonomous vehicles

Machine learning applications in self-driving cars

Sensor fusion for autonomous vehicle systems

Real-time data processing in autonomous driving

Safety and reliability in autonomous systems

Data governance in autonomous vehicle data

Ethical considerations in autonomous vehicle data

Predictive maintenance for autonomous vehicles

Autonomous vehicle navigation using data science

Challenges in data collection for autonomous driving

User experience design for autonomous vehicles

Case studies of data science in autonomous vehicles

Future trends in autonomous vehicle technology

Data privacy issues in autonomous driving

Integration of AI in autonomous vehicle systems

Simulation techniques for autonomous vehicle testing

Data-driven decision making in autonomous driving

Collaboration between vehicles and infrastructure

Impact of data science on transportation systems

Frameworks for evaluating autonomous vehicle performance

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in reputed journals and conference proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

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Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

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Hybrid Event