In this session, we help you to get valuable insights on how to generate and supply high-quality data throughout the entire development cycle of autonomous driving AI algorithm Based on high-quality and optimal data through a process based on the AIMMO proprietary toolchain (data collection-refinement-curation-annotation-inspection) and Data-Centric AI approach with developed with its own technology.

• Do you have any pains and problems regarding the extension of the safety scope such as unknown situations, incomplete sensing &ML/DL Algorithms?
• What strategy do you have to maximize the known intended scenarios in Area 1 (Safe/Known)? 
• How to pre-process your raw data for refinement and de-identification to improve AD data cleansing? 
• How do you deal with data curation issues to acquire critical / edge cases?