The recent developments in AI and robotics, especially with the advent of IR4.0 have helped increase the incorporation of complex systems combining robotics with AI into the surrounding environment. Integration of the different fields of AI and robotics is performed via the Internet of Things (IOT) which allows for the creation of complex connected systems. These interconnected systems or devices, which can be seen in our everyday lives, such as surveillance, robotic and autonomous systems, are assisted or enhanced by AI algorithms in collecting, processing and analyzing data to determine the appropriate response or action. The larger and connected world that we live in dictates a growing need for a wide coverage of both agriculture and human activity monitoring. This can be achieved via a distributed surveillance system which incorporates a robotic drone system executing AI algorithms to monitor, control and determine the appropriate action to be taken in the shortest time possible.
The problem to be addressed in this Research Topic is the incorporation of novel architectures that can be utilized in interconnected autonomous, surveillance and robotic systems. Their deployment requires a large amount of data from various sensors, such as lidar and cameras, including multispectral ones. The goal of the Research Topic is to cover promising and novel research in the field of surveillance in agriculture, pedestrian detection, as well as monitoring targets of interest which can be performed by systems ranging from single camera systems to a large array of distributed cameras used in conjunction with AI for higher accuracy.
We welcome contributions in the form of Original Research articles, Reviews, and Methods. Topics of interest include, but are not limited to:
Image and Video Processing for Surveillance
• Recent developments in image and video surveillance and application of AI techniques for security surveillance
• Recent developments in crop surveillance and large plant monitoring and surveillance
Autonomous Navigation and Decision
• Use of AI systems for drones (UAV or UGV) for security tracking and monitoring
• Use of AI systems for drone agriculture monitoring
• Use of AI systems for drone (UAV and UGV) autonomous navigation where the data from sensors (on the drone and non-connected sensors) are incorporated
Autonomous Surveillance Systems
• Integration of drones with video surveillance systems to ensure human detection or continuous tracking
• Use of AI for autonomous and distributed drone surveillance system for tracking the target
The recent developments in AI and robotics, especially with the advent of IR4.0 have helped increase the incorporation of complex systems combining robotics with AI into the surrounding environment. Integration of the different fields of AI and robotics is performed via the Internet of Things (IOT) which allows for the creation of complex connected systems. These interconnected systems or devices, which can be seen in our everyday lives, such as surveillance, robotic and autonomous systems, are assisted or enhanced by AI algorithms in collecting, processing and analyzing data to determine the appropriate response or action. The larger and connected world that we live in dictates a growing need for a wide coverage of both agriculture and human activity monitoring. This can be achieved via a distributed surveillance system which incorporates a robotic drone system executing AI algorithms to monitor, control and determine the appropriate action to be taken in the shortest time possible.
The problem to be addressed in this Research Topic is the incorporation of novel architectures that can be utilized in interconnected autonomous, surveillance and robotic systems. Their deployment requires a large amount of data from various sensors, such as lidar and cameras, including multispectral ones. The goal of the Research Topic is to cover promising and novel research in the field of surveillance in agriculture, pedestrian detection, as well as monitoring targets of interest which can be performed by systems ranging from single camera systems to a large array of distributed cameras used in conjunction with AI for higher accuracy.
We welcome contributions in the form of Original Research articles, Reviews, and Methods. Topics of interest include, but are not limited to:
Image and Video Processing for Surveillance
• Recent developments in image and video surveillance and application of AI techniques for security surveillance
• Recent developments in crop surveillance and large plant monitoring and surveillance
Autonomous Navigation and Decision
• Use of AI systems for drones (UAV or UGV) for security tracking and monitoring
• Use of AI systems for drone agriculture monitoring
• Use of AI systems for drone (UAV and UGV) autonomous navigation where the data from sensors (on the drone and non-connected sensors) are incorporated
Autonomous Surveillance Systems
• Integration of drones with video surveillance systems to ensure human detection or continuous tracking
• Use of AI for autonomous and distributed drone surveillance system for tracking the target
