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.

• 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