TomTom highlights the transformative role of collaborative map making in enhancing autonomous driving maps. It emphasizes the importance of a multi-source approach, integrating fresh data streams with lower accuracy sources aligned with higher accuracy data. Additionally, it underscores the critical need for human-in-the-loop support to ensure map quality, especially in addressing edge cases crucial for Level 3 autonomous driving safety. By leveraging collaborative efforts and diverse data sources, this approach aims to deliver richer, fresher, and more reliable maps essential for the advancement of autonomous driving technology.

In this talk, you will learn that:

• Collaboration will come to improve richness and freshness in maps for autonomous driving
• Building automotive-grade maps at scale requires a multi-source approach
• Human-in-the-loop supporting automated models for map production ensures quality