Lytx, Inc.

Brett Hoye

Stephen Krotosky

Daniel A Lambert

Greg Sutton

Gabriela Surpi

Anton Lunde

A system for sorting event data includes an interface and a processor. The interface is configured to receive a small set of video frame data from a vehicle event recorder. The processor is configured to determine that the small set of video frame data indicates to fetch more vehicle event recorder data; determine a categorization based at least in part on the more vehicle event recorder data; and in response to the categorization, route the more vehicle event recorder data to a reviewing queue.

Video analysis for efficient sorting of event data

A system for video processing includes a ranging system hardware interface, a vehicle bus interface, and a processor. The ranging system hardware interface is configured to receive ranging system data and/or ranging system metadata. The a vehicle bus interface is configured to receive vehicle bus data and vehicle bus metadata sent from a ranging system. The processor is configured to determine video data of interest based at least in part on the ranging system data and the ranging system metadata. The ranging system data and/or the ranging system metadata data includes information not included in the vehicle bus data and vehicle bus metadata sent from the ranging system via the vehicle bus interface.

Ranging system data utilization for marking of video data of interest

A method, system, and computer program product of controlling driver interaction with an autonomous vehicle (AV) system for a vehicle are provided. In an embodiment, a signal indicating a present state of the driver is received. A signal indicating a past state of the driver is received. A present effectiveness of the driver is determined based on the received signals. A target level of engagement of the driver with the AV system is determined based on the present effectiveness of the driver.

Determining driver engagement with autonomous vehicle

A system includes an outward facing video camera, a digital video recorder, a geolocation device, an interface, and a processor. The interface is configured to receive video data from the outward facing vehicle camera and receive location data from the geolocation device. The processor is configured to determine a digital video recorder storing state; disable transfer of video data to the digital video recorder in response to the digital video recorder storing state being a prohibited state; and enable transfer of the video data from the outward facing video camera to the digital video recorder for storage in response to the digital video recorder storing state being not the prohibited state.

Digital video recorder privacy

A system for dynamic pairing includes an interface and a processor. The interface is configured to receive an indication to identify paired event data based on an event time and an event location. The processor is configured to determine a paired video data region; retrieve a subset of video data stored in a pairing database or from a vehicle event recorder; and provide the subset of the video data as the paired event data. The paired video data region includes locations spatially nearby the event location and times temporally nearby the event time. The pairing database or the vehicle event recorder stores a video data. The video data is retrievable based on an associated time data and/or location data. The video data is placed in the subset of video data in response to the associated time data and location data being within the paired video data region.

Dynamic pairing of device data based on proximity for event data retrieval

A system for pothole detection comprises an input interface configured to receive sensor data and a pothole detector configured to determine a pothole based at least in part on the sensor data using a model, wherein the model is used to classify sensor data; and store pothole data associated with the pothole, wherein the pothole data comprises a pothole video.

Pothole detection

A system for driver risk determination using machine vision includes an interface and one or more processors. The interface is to receive one or more video data streams. The one or more processors is/are to determine, whether a driving behavior risk type appears in one of the one or more video data streams; and in the event that the driving behavior risk type appears in the one of the one or more video data streams, indicate the driver behavior risk type.

Detecting risky driving with machine vision

A system for determining driver errors includes an interface and a processor. The interface is configured to receive a safety warning from a safety warning system. The processor is configured to determine an appropriate driver response based at least in part on the safety warning; determine a driver response; determine whether the driver response comprises the appropriate driver response; and in the event the driver response does not comprise the appropriate driver response, indicating a driver error.

Driver coaching from vehicle to vehicle and vehicle to infrastructure communications

A system for autonomous driving comparison and evaluation comprises an input interface and a processor. The input interface is configured to receive trip information generated during a driver controlled trip and receive information from an autonomous driving system related to actions that the autonomous driving system would have taken had it been in control during the trip. The processor is configured to compare a trip factor of the driver controlled trip with a simulated trip factor that would have occurred had the autonomous driving system been in control.

Autonomous driving comparison and evaluation

A system for pothole detection comprises an input interface configured to receive sensor data and a pothole detector configured to determine a pothole based at least in part on the sensor data; and store pothole data associated with the pothole, wherein the pothole data comprises a pothole video.

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San Marcos, CA, United States of America

Brett Hoye