Benchmark dataset for evaluation of range-based people tracker classifiers in mobile robots

Benchmark dataset which can be used to evaluate the performance of different approaches for detecting and tracking people by using lidar sensors. Information contained at the dataset is specially suitable to be used as training data for neural network-based classifiers