Image Based Localization

Image-based localization aims to determine a camera's position and orientation within a scene using only image data, a crucial task for robotics, autonomous vehicles, and augmented reality. Current research emphasizes robust methods that handle challenging conditions like varying illumination, seasonal changes, and occlusions, often employing deep learning architectures such as convolutional neural networks and incorporating additional sensor data (e.g., GPS, IMU) or semantic information from foundation models to improve accuracy and efficiency. These advancements are driving progress in applications requiring precise and reliable localization, particularly in dynamic environments where traditional methods struggle.