Grant: CCI Applied Research and Development Grants

Developing a fully autonomous drone system using only passive sensors, specifically cameras, presents a significant challenge in autonomous technology. Traditional systems often rely on active sensors, like LIDAR and GPS, for navigation and decision-making. This project's main innovation is creating a framework capable of real-time processing of object detection, identification, tracking, and directional awareness that can work with passive sensors only. We will also create a flexible but realistic virtual environment to test this system in various simulations of the real world. The objective of this proposal is to develop an AI Platform for ING Robotic Aviation Inc. drones, aiming to make them as autonomous as possible in executing their missions. This platform will enable drones to make real-time decisions locally without communication with the Ground Control Station. ING Robotic Aviation drones will use cameras for information gathering, eliminating the need for active sensors thereby enhancing their autonomous operational capabilities. The AI Platform will also support applications for autonomous visual inspection of power lines, pipelines, rail tracks, roads, and bridges, as well as search and rescue missions, showcasing its advanced capabilities in critical applications. This project will enhance the drones' autonomous capabilities by integrating advanced AI navigation and collision avoidance systems. These enhancements will be rigorously tested within a custom-designed virtual environment developed as part of this project. The virtual environment will serve as a testing ground for the drones before real-world trials. This applied research will be conducted jointly by the Center of Expertise in Smart Prototyping (CEPI) of Collège La Cité and ING Robotic Aviation. Benefits for ING Robotic Aviation include advanced drones with autonomous capabilities and advanced AI for navigation and collision avoidance. These features enable their drones to adapt to dynamic environments, paving the way for the next generation of autonomous aviation technology. The CEPI's benefits include providing focused training for students in highly relevant areas enhancing their employment prospects. The applied research discipline will gain valuable insights into real-time embedded AI, know-how, and software technologies essential to industry needs.