Climate change has increased the frequency and severity of flooding, presenting significant challenges for Natural Disaster Management (NDM). Effective emergency response depends on the timely detection of flooded areas and critical objects. Advanced Deep Neural Networks (DNNs) are applied for flood region segmentation and object detection, specifically focusing on persons, vehicles, and house roofs in… Continue reading Flood region segmentation on drone images
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Privacy Protection in Natural Disaster Management
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Forest fire detection and fire/burnt region segmentation on drone images
With climate change on the rise, new challenges for Natural Disaster Management (NDM) arise, leading to rapid advancements in Deep Neural Networks (DNNs), specifically in wildfire scenarios. Forest fire detection and segmentation and burnt area segmentation are critical tasks that require DNNs to achieve precise decision-making in near real-time. Given the complex and dynamic conditions… Continue reading Forest fire detection and fire/burnt region segmentation on drone images
Human-Centered AI for Autonomous Vehicles
Intelligent/autonomous vehicles, such as self-driving cars, intelligent robots and Unmanned Aerial Vehicles (UAVs) must seamlessly interact with humans, e.g., their drivers/operators/pilots or people in their vicinity, whether being obstacles to be avoided (e.g., pedestrians) or targets to be followed and interact with (e.g., when filming a performing athelete). Furthermore, intelligent vehicles and robots have been… Continue reading Human-Centered AI for Autonomous Vehicles
Electrical Infrastructure Inspection
This lecture overviews the use of drones for electrical infrastructure inspection and maintenance. Various types of inspection, e.g., using visual cameras, LIDAR or thermal cameras are reviewed. Primary application area is electric line inspection. Line detection and tracking and drone perching are examined. Human action recognition and co-working assistance are overviewed.
Elongated object detection and segmentation
The application of computer vision to industrial inspection poses a unique challenge in identifying elongated objects that extend beyond the image frame. This lecture offers a comprehensive overview of detection and segmentation techniques, with a particular emphasis on recent advancements in deep learning-based approaches. Throughout the lecture, we delve into the capabilities of these algorithms,… Continue reading Elongated object detection and segmentation