Metawave Corporation

Other

Lyft, Inc.

Bdcm A2 LLC

Abdullah Ahsan Zaidi

Maha Achour

Kenneth Ray Carroll

Christy Fernandez Cull

Eahab Nagi El Naga

Soren Shams

Narek Rostomyan

Alison Marie Thurber

Ashley John Cooper

A radar system for interacting with navigation targets is provided. The radar system is configured to interact with navigation targets (target devices) that shift the phase of a received radar transmission to generate a phase shifted response signal. Phase shifters (e.g., silicon germanium phase shifters) are designed to assign specific frequency responses from one or more navigation modules to identify target locations. The radar module transmits at a modulated signal at first frequency, each navigation target receives the radar transmission, phase shifts the signal and returns the phase shifted signal. Where two or more navigation targets are used, each will apply a different phase shift to the received radar transmission, wherein the frequency identifies the navigation target devices. In a radar system, the modulated transmission signal is compared to the returned phase shifted signal to determine a frequency difference between the two signals.

Frequency offset using SiGe phase shifters

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

Examples disclosed herein relate to a radar system for object identification. The radar system transmitting an azimuth fan beam and incrementing elevation of the beam. The radar system may include a transmit antenna and a receive antenna, each having a plurality of antenna elements arranged in rows and columns. The radar system may include a transceiver coupled to the transmit antenna and the receive antenna, the transceiver configured to control transmit beams having an azimuth fan beam, or an elevation fan beam. The radar system may include a processing unit. In various embodiments, the processing unit may include a digital processing unit; a range Doppler mapping module; and an azimuth detection module coupled to the transceiver. The azimuth detection module may be configured to process received signals and identify an azimuth angle of arrival by correlating signals received at antenna elements in rows of the receive antenna.

Hybrid beam steering radar

Examples disclosed herein relate to a beam steering radar for use in an autonomous vehicle. The beam steering radar has a radar module with at least one beam steering antenna, a transceiver, and a controller that can cause the transceiver to perform, using the at least one beam steering antenna, a first scan of a field-of-view (FoV) with a first number of chirps in a first radio frequency (RF) signal and a second scan of the FoV with a second number of chirps in a second RF signal. The radar module also has a perception module having a machine learning-trained classifier that can detect objects in a path and surrounding environment of the autonomous vehicle based on the first number of chirps in the first RF signal and classify the objects based on the second number of chirps in the second RF signal.

Beam steering radar with adjustable long-range radar mode for autonomous vehicles

Examples disclosed herein relate to a radar warning system positioned in a highway infrastructure. The infrastructure element includes a radar unit that is configured to produce radar data from one or more return radio frequency (RF) beams reflected from a surrounding environment using one or more steerable RF beams radiated to the surrounding environment, detect a moving object in a path of the surrounding environment from the radar data, determine whether the moving object in the path is violating directional criteria, and generate an alert message notifying one or more receiving units to avoid the path of the moving object when the moving object in the path is violating the directional criteria. The infrastructure element also includes a communication unit coupled to the radar unit and configured to send the alert message to the one or more receiving units in the surrounding environment.

Growing community of inventors

San Diego, CA, United States of America

Abdullah Ahsan Zaidi