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US 10,769,456 B2Granted
Systems and methods for near-crash determination
AssigneeNauto, Inc.
InventorsSuchitra Sathyanarayana, Ravi Kumar Satzoda, Stefan Heck
Life of this patent
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Abstract
A method for near-collision detection, including determining a risk map for a vehicle and automatically detecting a near-collision event with an object based on vehicle behavior relative to the risk map.
Claims20
A method comprising:
- capturing an external video with an external-facing camera of an on-board system mounted on a vehicle;
- determining an obstacle parameter for an obstacle detected from the external video;
- capturing an internal video with a driver-facing camera of the on-board system;
- generating a risk score for a spatial position relative to the vehicle, the risk score being determined based on a parametric model, the obstacle parameter, and a driver parameter based on the internal video;
- and
- detecting a near-collision event when the risk score exceeds a risk threshold.
3 more elements
A method comprising:
- obtaining an indication of a sampled video captured by an external-facing camera of a vehicle, the indication of the sampled video including an obstacle parameter for an obstacle detected based on the sampled video;
- obtaining an indication of a near-collision event labeled with a driver parameter, the near-collision event being detected based on a spatial risk map generated based on a parametric model, the obstacle parameter, and the driver parameter;
- and
- determining a cause of the near-collision event by identifying an independent parameter of the parametric model with a highest weighted value.
1 more element
A method comprising:
- capturing a first image with a first camera facing away from a driver of a vehicle;
- determining an obstacle parameter based on the first image;
- determining a driver parameter associated with the driver, the driver parameter being based on a second image captured with a second camera facing the driver of the vehicle;
- determining a risk score based on a parametric model, the obstacle parameter, and the driver parameter;
- detecting a near-collision event based on the risk score;
- and
- determining a driver response to the near-collision event based on a third image captured with the second camera facing the driver of the vehicle.
4 more elements
Dependencies are inferred from the claim text.