Time-of-Flight Depth Datasets for Indoor Semantic SLAM

摘要

Publicly available and benchmark datasets help to push forward the state-of-the-art techniques in Computer Vision, Image Processing, Machine Learning, Robotics and several other scientific domains. They support the scientific evaluation and objective comparison of algorithms with clear evaluation metrics. SLAM is one of the problems in robotics which has been investigated using a variety of image and time-of-flight sensors that use radar, sonar and LiDAR.