About the Workshop
The International Workshop on Advances in Drone Vision (ADV 2025) aims to bring together experts from academia and industry to explore the latest research in drone-based computer vision technologies. Drones are now vital across numerous sectors, including agriculture, logistics, infrastructure monitoring, disaster response, and environmental surveillance.
As drone autonomy evolves, computer vision is becoming the essential intelligence behind their capabilities. From object detection and scene understanding to real-time edge computing, this workshop focuses on making aerial robotics smarter, faster, and more reliable. ADV 2025 will showcase vision algorithms for onboard processing, anomaly detection, aerial image segmentation, and much more.
Our goal is to foster interdisciplinary collaboration, discuss novel methodologies, and highlight the critical role of vision in next-gen aerial systems.
Topics of Interest
We welcome submissions on a broad range of topics related to computer vision for drones, including but not limited to:
- Object detection, tracking, and recognition from aerial imagery
- Semantic and instance segmentation for aerial vision
- Scene understanding and 3D reconstruction from drone-captured data
- Multimodal fusion for aerial perception
- Event-based vision for high-speed drone applications
- Real-time localization, mapping, and environment representation
- Vision-based trajectory planning and obstacle avoidance
- Energy-efficient perception for extended drone operations
- Swarm intelligence and collaborative drone vision
- AI-driven applications for disaster response and environmental monitoring
- Drone vision for smart cities and infrastructure assessment
- Assistive drones for healthcare and search-and-rescue missions
- Edge AI and real-time onboard processing for drones
- Lightweight deep learning models for resource-constrained UAVs
- Secure and privacy-preserving drone vision systems
- Drone vision in precision agriculture and environmental sustainability
- Surveillance and security applications leveraging aerial vision
- Autonomous inspection of industrial and energy infrastructure
- AI-powered delivery and logistics with drone-based perception
Call for Papers
All submissions must be made electronically via EasyChair.
Authors are required to prepare their papers following the Springer guidelines. The manuscript must not exceed 12 pages, including references. Submissions will undergo a double-blind peer review process and will be evaluated based on originality, significance, clarity, soundness, relevance, and technical quality.
Upon acceptance, at least one author must register for the event, attend the workshop, and present the paper orally. All accepted papers will be published in the Workshop Proceedings of ICIAP 2025 as part of the Lecture Notes in Computer Science (LNCS) series by Springer.
Deadline: May 30, 2025
Notification: July 4, 2025
Camera-ready: July 10, 2025
Organizers
Invited Speaker
Valentino Iurato - Italian Ministry of Infrastructure and Sustainable Mobility (Confirmed)