Zoox, Inc.

Amanda Blair Lind

Jesse Sol Levinson

Timothy David Kentley-Klay

Timothy David Kentley

Systems and methods implemented in algorithms, software, firmware, logic, or circuitry may be configured to process data to determine whether an object external to an autonomous vehicle is a person (e.g., such as a pedestrian) or other classification (e.g., such as a vehicle), and may be further configured to determine a position of the person relative to the autonomous vehicle. Logic may be configured to direct acoustic energy (e.g., via vehicular acoustic beam-forming) to an object external to the autonomous vehicle as an audible acoustic alert. The vehicle-related acoustic beam may be directed to a driver in another vehicle. Logic may be configured to track the motion of external objects, such as a pedestrian crossing from one side of the street to the other, and may correspondingly steer the direction of the vehicle-related acoustic beam(s) to track the person's movement.

Method for robotic vehicle communication with an external environment via acoustic beam forming

Systems and methods implemented in algorithms, software, firmware, logic, or circuitry may be configured to process data and sensory input to determine whether an object external to an autonomous vehicle (e.g., another vehicle, a pedestrian, road debris, a bicyclist, etc.) may be a potential collision threat to the autonomous vehicle. The autonomous vehicle may be configured to implement active safety measures to avoid the potential collision and/or mitigate the impact of an actual collision to passengers in the autonomous vehicle and/or to the autonomous vehicle itself. Interior safety systems, exterior safety systems, a drive system or some combination of those systems may be activated to implement active safety measures in the autonomous vehicle.

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San Francisco, CA, United States of America

Amanda Blair Lind