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The integration of camera, radar, lidar, and ultrasonic sensors creates a robust perception stack. This sensor fusion is critical for accurate pedestrian and cyclist detection, object tracking, and classification in diverse traffic scenarios.

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Real-world deployment faces challenges like harsh weather conditions and the need for explainable AI in safety-critical decisions. Standards like ISO 26262 and ISO 21448 guide the functional safety and validation processes.

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Contributing Analysts

Dr. Genoveva Hahn III

AI Safety Research

Litzy Spencer

Sensor Systems

Dr. Leonardo Denesik

Regulatory Frameworks

Prof. Deion Wilderman

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