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US 10,573,183 B1Granted
Mobile real-time driving safety systems and methods
AssigneePhiar Technologies, Inc.
InventorsXinyu Li, Chen-Ping Yu, Aaditya Chandrasekhar
Life of this patent
Estimating the term…
Abstract
A system and method may track data from one or more sensors during vehicle driving. Based on the sensors data, one or more alerts or potential hazards may be identified. The system and method may generate a drive summary including information and optional statistics about the alerts or potential hazards.
Claims23
A method, comprising:
- obtaining an image of a driving scene for a vehicle during a drive using a first device;
- obtaining motion sensor data during the drive using the first device;
- identifying an object based on the image using a machine learning model;
- identifying a potential hazard associated with the object based on the image and the motion sensor data;
- generating an alert associated with the potential hazard for a driver of the vehicle;
- displaying the alert in an augmented related interface with an augmented reality hazard marker to identify the potential hazard;
- displaying a drive summary for the drive, the drive summary including information associated with the alert;
- wherein the information associated with the alert includes at least one of an alert type, a vehicle speed, a vehicle acceleration, and a time of the alert;
- wherein the drive summary includes a visual summary comprising a map of a route of the drive, the map including a visual indicator of the alert at a location on the map where the alert occurred, the visual indicator being selectable to display the information associated with the alert;
- wherein the drive summary includes statistics for alerts encountered during the drive and a comparison to statistics for other drivers;
- wherein the drive summary includes a plurality of scores associated with different alert types and an aggregate score based on combining the plurality of scores.
8 more elements
A system comprising one or more non-transitory computer-readable media storing computer-executable instructions that, when executed on one or more processors, cause the one or more processors to perform acts comprising:
- obtain an image of a driving scene for a vehicle during a drive using a first device;
- obtain motion sensor data during the drive using the first device;
- identify an object based on the image using a machine learning model;
- identify a potential hazard associated with the object based on the image and the motion sensor data;
- generate an alert associated with the potential hazard for a driver of the vehicle;
- display the alert in an augmented related interface with an augmented reality hazard marker to identify the potential hazard;
- display a drive summary for the drive, the drive summary including information associated with the alert;
- wherein the information associated with the alert includes at least one of an alert type, a vehicle speed, a vehicle acceleration, and a time of the alert;
- wherein the drive summary includes a visual summary comprising a map of a route of the drive, the map including a visual indicator of the alert at a location on the map where the alert occurred, the visual indicator being selectable to display the information associated with the alert;
- wherein the drive summary includes statistics for alerts encountered during the drive and a comparison to statistics for other drivers;
- wherein the drive summary includes a plurality of scores associated with different alert types and an aggregate score based on combining the plurality of scores.
8 more elements
Dependencies are inferred from the claim text.