Abstract: There are provided a scenario similarity retrieval-based automatic scenario generation system and method. According to an embodiment, a scenario retrieval-based automatic scenario generation method includes: retrieving scenarios similar to a query scenario from a scenario DB for an autonomous driving test; filtering only scenarios that meet a selection condition from the retrieved scenarios; and converting components of the filtered scenarios to suit a target condition. Accordingly, a desired scenario may be automatically generated by retrieving a scenario similar to a targeted scenario, converting the retrieved scenario, and concretizing the scenario.

Abstract: There are provided an apparatus and a method for LiDAR data conversion for training various types of autonomous vehicles by using pre-acquired data. A method for converting LiDAR data according to an embodiment includes: receiving an input of first LiDAR data which is pre-acquired through a first LiDAR sensor mounted in a first vehicle; converting the inputted first LiDAR data into second LiDAR data which is acquired through a second LiDAR sensor mounted in a second vehicle; and outputting the converted second LiDAR data, and converting includes converting the first LiDAR data into LiDAR data on a reference coordinate system, and converting the converted LiDAR data into the second LiDAR data which is LiDAR data on a coordinate system of the second LiDAR sensor.