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International Conference on Autonomous Vehicles and Vision Technologies - (ICAVVT-26)

30th - 31st October 2026 , Munich - Germany

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Call For Papers

The (ICAVVT-26) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Vision Engineering are explored to promote cross-domain knowledge exchange and collaborative innovation.

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

  • Vision technologies for autonomous vehicles
  • Applications of computer vision in transportation
  • Challenges in vision systems for autonomy
  • Real-time vision processing for vehicles
  • AI in autonomous vehicle navigation systems
  • User interaction in autonomous vehicle interfaces
  • Vision-based safety systems for vehicles
  • Future trends in autonomous vehicle technologies
  • Vision systems for traffic monitoring
  • Ethics in autonomous vehicle technologies
  • Vision technologies for smart transportation
  • Case studies in autonomous vehicle applications
  • Vision systems for fleet management
  • Applications of vision in public transport
  • Vision technologies for pedestrian safety
  • Innovations in autonomous vehicle vision systems
  • Data-driven approaches to vehicle vision systems
  • Vision systems for environmental impact assessment
  • User experience in autonomous vehicle design
  • Vision technologies for urban mobility solutions

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.