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ADAS to Robotaxi

Camera ApplicationsMobility

From ADAS to Robotaxi: How Vision Systems Must Level Up to Meet New Mobility Use Cases (Part 2)

Suresh Madhu
by Suresh Madhu
Robotaxis operate in dense urban settings where lighting changes rapidly, motion stays constant, and perception runs continuously. Camera performance governs how lanes, signals, vehicles, cyclists, and pedestrians are readable. Hence, features such as HDR, low-light capture, global shutter, and more determine how reliably scenes get interpreted. In this blog, you’ll...
Camera ApplicationsEdge AI Vision KitsMobility

From ADAS to Robotaxi: How Vision Systems Must Level Up to Meet New Mobility Use Cases (Part 1)

Suresh Madhu
by Suresh Madhu
ADAS-era vision systems handled short, supervised driving tasks with limited scene scope and intermittent operation. Robotaxi deployments replace that model with continuous, fleet-scale autonomy in dense urban settings, where cameras face constant motion and lighting swings. These conditions raise pressure on imaging consistency, synchronization, and data continuity. In this blog,...