Julia Kameneva

• Generation of synthetic LiDAR data for object detection in autonomous driving vehicles: – Designed and implemented an overall solution architecture and pipelines of the data generation tool. – Led and managed a research team of 3 engineers. • Datasets unification for a trajectory prediction NN for ADAS: – Built a tool transforming data from different datasets into one format. – Generated dataset has been used to train a NN that won 1st place in the Argoverce trajectory prediction challenge.