Lyft, Inc.

Woven Planet North America, Inc.

Woven by Toyota, U.s., Inc.

James Allen-White Hoffacker

George James Hansel

Helen Ruth Lurie

Forrest Samuel Briggs

Yi Lu

Dhruv Lamba

Phillip Sawbridge

Gerard Joyce

Corey Frederick Bangs

Chi Hoon Lee

Brian Thomas McGinn

Palak Talwar

Osama M Salem

In particular embodiments, a computing system may receive, by a processor in communication with an actuator of a vehicle, an instruction associated with an environment external to the vehicle and configured for controlling the actuator of the vehicle. The system may receive, by the processor, sensor data associated with the environment and generated by one or more sensors associated with the vehicle. The system may determine, by the processor, a state associated with an operation mode of the vehicle based on the received sensor data. The system may evaluate, by the processor, whether the instruction is invalid based on the state associated with the operating mode of the vehicle. The system may, subsequent to determining that the instruction is invalid, based on the evaluation, prevent transmission of the instruction to the actuator of the vehicle.

Secure communication between vehicle components via bus guardians

In one embodiment, a computing system may receive an uncompressed image from a camera. The computing system may generate a compressed image by performing a compression process on the uncompressed image, wherein a decompressed image may be generated as a byproduct during the compression process. The computing system may send the decompressed image to a machine-learning model that was trained using decompressed images. The computing system may generate, by the machine-learning model, an output based on the decompressed image. The computing system may provide operational instructions to a vehicle based on the output.

Low latency image processing using byproduct decompressed images

In one embodiment, a method includes, by a computing device of a first sensor receiving synchronization information from a controller. The synchronization information being generated based on a clock of the controller. The method also includes determining, based on the synchronization information, a first offset between a first clock of the first sensor and the clock of the controller; storing the first offset; and synchronizing, based on the stored first offset and the first clock of the first sensor, a first data capture by the first sensor with a second data capture by a second sensor. The first data capture and the second data capture being requested by the controller.

Systems and methods for synchronizing sensor capture

In one embodiment, a computing system receives sensor data from one or more sensors of a vehicle. The computing system determines a metric associated with the vehicle based on the received sensor data. The computing system determines, based on the metric, a length of a transmission cycle of a communication network of the vehicle. The transmission cycle comprises one or more scheduled time periods dedicated for transmitting data from respective first nodes in the communication network. The computing system configures the communication network of the vehicle based at least in part on the length of the transmission cycle to adjust respective occurrence frequencies of the scheduled time periods over multiple instances of the transmission cycle.

Transmission schedule segmentation and prioritization

In particular embodiments, a computing system may detect a number of objects captured within an overlapping region between a first field of view associated with a first camera and a second field of view associated with a second camera. The system may determine a respective priority ranking for each of the objects. The system may select an object from the objects based on the respective priority ranking for the object. The system may determine, for the first camera, a first lighting condition associated with the first field of view. The system may determine, for the second camera, a second lighting condition associated with the second field of view. The system may determine a shared exposure time for the selected object based on the first lighting condition and the second lighting condition. The system may cause at least one image of the selected object to be captured using the shared exposure time.

Exposure coordination for multiple cameras

In one embodiment, a method includes receiving data from one or more sensors associated with a vehicle; and receiving a message from a first processor. The message from the first processor includes a first control command for an actuator of the vehicle and a first certificate function. The method also includes receiving a message from the second processor. The message from the second processor includes a second control command for the actuator of the vehicle and a second certificate function. The method also includes computing a first certificate based on the first certificate function and the data; computing a second certificate based on the second certificate function and the data; determining a valid control signal based on an accuracy of the first second control command and second control command relative the first certificate and second certificate; and transmitting the valid control signal to the actuator of the vehicle.

Control redundancy

In one embodiment, a computing system may determine a first target region within a first field of view of a first camera and a second target region within a second field of view of a second camera. The first field of view and the second field of view may be partially overlapping. The system may determine first lighting conditions of the first target region. The system may determine a first exposure time for at least the first camera and the second camera based at least in part on the determined first lighting conditions. The system may instruct the first camera and the second camera to take pictures using the determined first exposure time.

In one embodiment, a computing system of an autonomous vehicle may receive a first set of data packets on one or more networks. The computing system may analyze the data packets to determine, for each packet, one or more of an authenticity, a validity, or a correctness of the data packet. The computing system may perform a first action for the first set of data packets based on the analysis. The first action may include signaling a safety driver of the autonomous vehicle to take over manual control of the vehicle in response to the data packets failing to satisfy the one or more of the authenticity, the validity, or the correctness criteria.

Growing community of inventors

San Carlos, CA, United States of America

James Allen-White Hoffacker