Optimizing Python for Global Scale HD Mapping - From Mobileye's Experience

Learn how Mobileye's REM group tackles the challenge of creating and maintaining high-definition maps for autonomous driving in this 23-minute PyCon Israel conference talk. Discover the process of constructing cm-level accurate maps using crowd-sourced data from millions of driving assistance systems. Explore practical approaches to optimizing Python workloads for distributed big data processing, including tools for identifying performance bottlenecks and techniques for achieving 10x faster algorithmic code execution. Gain insights from real-world examples and implementation strategies that enable processing massive amounts of anonymized computer vision data for global-scale mapping operations.