Scan Context

Scan context refers to the use of spatial information from sensor scans (e.g., LiDAR, sonar) to achieve tasks like place recognition, object retrieval, and 3D reconstruction. Current research focuses on developing robust and efficient methods for extracting and utilizing scan context, employing techniques such as graph neural networks, hardware-aware evolutionary search for optimized architectures, and keypoint-based approaches for handling partial or noisy data. These advancements are improving the accuracy and speed of various applications, including autonomous navigation, robotic manipulation, and medical imaging analysis, by enabling more reliable scene understanding and object interaction.