Perception System

Perception systems, aiming to enable machines to understand their environment, are a crucial area of research across various fields, from autonomous driving to robotics and aerospace. Current research focuses on improving robustness and reliability, particularly in challenging conditions, using techniques like deep learning (including transformers and deep ensembles), multi-sensor fusion, and uncertainty quantification methods to enhance accuracy and safety. These advancements are vital for deploying reliable autonomous systems in real-world scenarios, impacting safety, efficiency, and the development of intelligent machines across numerous applications.