Scene Fusion

Scene fusion integrates information from multiple data sources (e.g., infrared and visible light images, point clouds, multiple camera views) to create a more complete and robust representation of a scene. Current research emphasizes developing efficient fusion architectures, such as modular networks and transformer-based approaches, that effectively combine data at both the scene and instance levels, improving accuracy in tasks like 3D object detection and human pose estimation. These advancements are crucial for applications in autonomous driving, robotics, and computer vision, enabling more reliable and accurate perception in complex and challenging environments.