Lyft, Inc.

Alison Marie Thurber

Gary Shambat

Jason Robert Cerundolo

Christy Fernandez Cull

Abdullah Ahsan Zaidi

Eahab Nagi El Naga

Ashley John Cooper

A micromobility transit vehicle may include a wheel, a dynamo, a control module, and a battery. The dynamo may be associated with the wheel and configured to transmit a first signal based at least on a detection of one or more movements of the wheel that meets or exceeds a threshold movement of the wheel. The control module may be configured to receive the first signal transmitted by the dynamo. The control module may be configured to transmit a second signal upon receiving the first signal from the dynamo. The battery may be configured to receive the second signal transmitted by the control module. The second signal may cause the battery to wake from a battery-off state to a battery-on state.

Wheel movement trigger for battery wake-up systems and methods

Commercial personal mobile vehicles (PMVs) managed by a fleet management system are sometimes equipped with a radar sensor to detect objects in an environment external to the PMVs. Specifically, the PMV may be equipped with a variety of sensors, such as a radar, a sonar sensor, a (optional) camera, an inertia measurement unit (IMU), and/or the like. The combination of a radar reflection signal and a sonar signal may provide measurements of characteristics such as a Doppler velocity and height information of a nearby object, which may be input to a machine learning classifier to determine the probability that the nearby object is a VRU. For another example, the reflection pattern from radar and ultrasonic may be used to input to a machine learning classifier to determine a type of the road surface, e.g., an asphalt road surface, a concrete sidewalk surface, a wet-grass lawn surface, and/or the like.

Systems and methods for detecting an environment external to a personal mobile vehicle in a fleet management system

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San Francisco, CA, United States of America

Alison Marie Thurber