The ACM DEBS 2019 Grand Challenge is the ninth in a series of challenges which seek to provide a common ground and evaluation criteria for a competition aimed at both research and industrial event-based systems. The focus of the 2019 Grand Challenge is on the application of machine learning to LiDAR data. The goal of the challenge is to perform classification of objects found in urban environments and sensed in several 3D scenes by the LiDAR. The applications of LIDAR and object detection go well beyond autonomous vehicles and are suitable for use in agriculture, waterway maintenance and flood prevention, and construction. This paper describes the specifics of the data streams provided in the challenge as well as the benchmarking platform that supports the testing of corresponding solutions.