Tackling the “long tail” of autonomous driving edge cases needs more than just a lot of data, It takes an integrated strategy. In this session, I will share how to speed up AV model deployment using a complete approach: combining custom data collection, smart curation, annotation platforms, and a human-in-the-loop workforce.
A key focus will be the importance of feedback loops. By using smart tools alongside human experts, teams can easily spot tricky edge cases and see exactly what data is missing. Feeding these human insights right back into your data pipeline helps companies continuously improve their training data, preparing their models for the real world.
