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The “2024 IEEE SPS Seasonal School on Signal and Image Processing Applications for UAVs (SIP4UAVs)” will take place on 24-26 September 2024 at Taxila, Pakistan, an ancient city just 30 Km from the Capital city Islamabad. Taxila is a city of the Gandharan civilization, sometimes known as one of its capitals, whose history can be traced from early microlithic communities at the Khanpur caves up to almost 1000 CE. Taxila was a hub of Buddhism, a centre of learning, an urban metropolis and a meeting point of various cultures, namely the Achaemenids, Greeks, Mauryans, Scythians, Parthians, Kushans, Huns and eventually the Muslims.
The school will be held at University of Engineering & Technology, Taxila in collaboration with Swarm Robotics Lab under National Centre of Robotics and Automation (NCRA).
The proposed seasonal school is focused to cover a wide range of topics, including the use of sensors, digital processing of data, and the application of signal and image processing techniques in unmanned aerial vehicles. The school will provide opportunity to the audience to explore the various applications of signal and image processing in UAVs, such as surveillance, mapping, environmental monitoring, smart healthcare, precision agriculture, search and rescue, and disaster response. The program will be structured to provide a comprehensive understanding of the theoretical and practical aspects of signal and image processing in the context of UAVs both from academic and industry perspective. The proposed school comprises technical talks from Academia, Research Centres and Industry.
We encourage participation of a spectrum of faculty members, researchers, including students and industry practitioners. Attendees will also benefit from networking opportunities in a friendly and stimulating environment. This event will also provide an opportunity to academia and industry to bridge the gap between academic research and industry ventures.
The school will focus on topics (but not limited too):
- Digital Signal Processing Techniques
- Image Processing and Computer Vision
- Signal and Image Processing for Precision Agriculture and Water Informatics
- Computer Vision for Aerial Surveillance
- Aerial Vision for Mapping and Remote Sensing
- Sensors and Applications in UAVs
- AI-on-the-Edge for UAVs
- Drone AI Technology
- Real-Time Image Processing and Applications in UAVs
- Multimodal Signal Processing
- Deep Learning for Signal and Image Processing
- Video Processing on UAVs for Post-Disaster Analysis
- Image Processing on Swarm of UAVs
