COLLISION DETECTION FOR UAVS USING EVENT CAMERAS
NOVA UNIVERSITY LISBON
João Pedro Carvalho Paulo
ABSTRACT
This dissertation explores the use of event cameras for collision detection in unmanned aerial vehicles (UAVs). Traditional cameras have been widely used in UAVs for obstacle avoidance and navigation, but they suffer from high latency and low dynamic range. Event cameras, on the other hand, capture only the changes in the scene and can operate at high speeds with low latency. The goal of this research is to investigate the potential of event cameras in UAVs collision detection, which is crucial for safe operation in complex and dynamic environments. The dissertation presents a review of the current state of the art in the field and evaluates a developed algorithm for event-based collision detection for UAVs. The performance of the algorithm was tested through practical experiments in which 9 sequences of events were recorded using an event camera, depicting different scenarios with stationary and moving objects as obstacles.
