TBPos

TBPos是一个由瓦萨大学创建的大规模视觉定位数据集，旨在为自主车辆、增强现实和机器人技术提供精确的图像定位。该数据集通过高分辨率3D激光扫描捕捉环境3D结构，并使用算法从同一激光扫描数据生成查询图像，确保了地面实况姿态的准确性。TBPos数据集包含338个查询图像，通过合成查询图像的方法，可以无限制地生成新的查询图像，适用于训练需要大量查询图像的机器学习技术。此外，TBPos数据集的应用领域包括提高视觉定位算法的挑战水平，解决实际场景中的定位问题。TBPos is a large-scale visual localization dataset developed by the University of Vaasa, designed to provide precise image localization capabilities for autonomous vehicles, augmented reality and robotics applications. This dataset captures the 3D structure of the target environment via high-resolution 3D laser scanning, and generates query images from the same laser scanning data using specialized algorithms, thus guaranteeing the accuracy of ground-truth poses. The TBPos dataset contains 338 query images, and an unlimited number of new query images can be generated through the synthetic query image generation method, making it well-suited for training machine learning techniques that require a large volume of query images. Furthermore, the TBPos dataset can be used to elevate the challenge benchmarks of visual localization algorithms and resolve localization problems in real-world scenarios.