  A new automotive radar data set with measurements and point-wise annotations
from more than four hours of driving is presented. Data provided by four series
radar sensors mounted on one test vehicle were recorded and the individual
detections of dynamic objects were manually grouped to clusters and labeled
afterwards. The purpose of this data set is to enable the development of novel
(machine learning-based) radar perception algorithms with the focus on moving
road users. Images of the recorded sequences were captured using a documentary
camera. For the evaluation of future object detection and classification
algorithms, proposals for score calculation are made so that researchers can
evaluate their algorithms on a common basis. Additional information as well as
download instructions can be found on the website of the data set:
www.radar-scenes.com.
