Omnidirectional Audio Visual

Omnidirectional audio-visual research focuses on developing systems that capture and process both audio and visual information from a 360-degree field of view. Current efforts concentrate on improving the accuracy and efficiency of algorithms for processing highly distorted omnidirectional data, including the development of synthetic datasets for training and evaluating computer vision models and the integration of omnidirectional perception into robotic navigation systems. This field is significant for advancing robotics, virtual reality, and other applications requiring comprehensive environmental awareness, particularly in challenging or dynamic scenarios. The development of robust omnidirectional audio-visual quality assessment methods is also a key area of ongoing research.