Vision Pipeline

Vision pipelines are automated systems processing visual data to extract meaningful information, enabling applications ranging from robotic navigation and industrial automation to remote sensing and medical image analysis. Current research emphasizes improving efficiency and robustness, focusing on architectures like transformers and diffusion models for tasks such as object detection, segmentation, and 3D motion estimation, often incorporating data from multiple sensor modalities (e.g., LiDAR, event cameras). These advancements are crucial for deploying reliable and resource-efficient vision systems in diverse real-world scenarios, impacting fields from autonomous vehicles and robotics to historical research and environmental monitoring.