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Call For Papers

The ICAVML 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 Machine Learning, encouraging applied research, case studies, and industry-driven innovations.

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

  • Machine learning for autonomous navigation
  • Sensor fusion in autonomous vehicles
  • Safety and reliability in AV systems
  • Real-time decision making for AVs
  • Machine learning for traffic prediction
  • Human-vehicle interaction technologies
  • Ethical implications of autonomous vehicles
  • Data privacy in autonomous driving
  • Vehicle-to-everything communication
  • Autonomous vehicle simulation techniques
  • Machine learning for route optimization
  • Challenges in AV deployment
  • Machine learning in driver assistance systems
  • Autonomous vehicle perception systems
  • Integration of AI in AV technology
  • Regulatory frameworks for AVs
  • Future trends in autonomous driving
  • Machine learning for fleet management
  • Environmental impact of autonomous vehicles
  • Collaborative driving systems with ML

Evaluation

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

Registration

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

Publication

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