The International Workshop on Advances in Drone Vision (ADV 2025) aims to bring together leading researchers and practitioners from academia and industry to explore cutting-edge developments in drone-based computer vision. As drones become increasingly integral to sectors such as agriculture, logistics, infrastructure monitoring, disaster response, and environmental surveillance, computer vision has emerged as the key enabler of autonomy and intelligence in aerial systems.

ADV 2025 will serve as a platform to present and discuss innovative methodologies in vision-based perception for drones, including onboard processing, anomaly detection, aerial image segmentation, and more. The workshop seeks to foster interdisciplinary collaboration and advance the capabilities of intelligent, autonomous aerial platforms.

Submission Guidelines

All submissions must be original and not under review by any other journal or conference. Submissions must be made electronically via EasyChair. Authors must format their papers according to the Springer LNCS guidelines.

Manuscripts must not exceed 12 pages, including references. Each paper will undergo a double-blind peer review process and will be evaluated based on originality, technical quality, significance, clarity, and relevance to the workshop topics.

Upon acceptance, at least one author must register for ADV 2025, attend the workshop, and present the paper.

Important Dates

• Paper submission deadline: May 30, 2025
• Notification of acceptance: July 4, 2025
• Camera-ready submission: July 10, 2025

List of Topics

We invite contributions on a wide 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

Committees

Program Committee

TBA

Organizing Committee

• Gennaro Vessio, University of Bari Aldo Moro
• Giovanna Castellano, University of Bari Aldo Moro
• Pasquale De Marinis, University of Bari Aldo Moro
• Mario Vento, University of Salerno

Invited Speakers

• Valentino Iurato – Italian Ministry of Infrastructure and Sustainable Mobility

Publication

All the accepted workshop papers will be published in a dedicated volume of Springer Lecture Notes in Computer Science (LNCS).

Venue

The conference will be held in Rome, Italy, in conjunction with ICIAP 2025.

Contact

All questions about submissions should be directed to:

Gennaro Vessio, University of Bari Aldo Moro, Email: gennaro.vessio@uniba.it