Self-driving cars can distinguish a pedestrian from a cyclist by analyzing their gait
Modern autonomous vehicles use high-frequency sensor fusion to identify human movement patterns, allowing them to distinguish between pedestrians and cyclists by analyzing the subtle rhythmic mechanics of their gait.
Autonomous vehicles achieve remarkable safety by processing up to 4 trillion operations per second to build a 360-degree environmental model. By fusing data from LiDAR, radar, and cameras, these systems update their surroundings up to 100 times per second with millimeter precision. This allows the vehicle to extract 3D semantics from the world, identifying road users not just by shape, but by how they move.
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