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US 2018/0293449 A1Published application
Systems and methods for near-crash determination
AssigneeNauto Global Limited
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.
Claims18
A method for near-collision analysis, comprising, at an on-board system mounted to a vehicle:
- recording an external video with an external-facing camera of the on-board system;
- determining obstacle parameters for an obstacle detected in the external video;
- generating a spatial risk map for the vehicle based on the obstacle parameters, the spatial risk map comprising a risk score for each of a plurality of spatial positions relative to the vehicle wherein the risk score is determined using:
- a parametric model comprising a set of Gaussian models;
- the obstacle parameters;
- and
- driver parameters extracted from an internal video recorded by an internal-facing camera of the on-board system;
- detecting a near-collision event when a risk score within the spatial risk map exceeds a risk threshold;
- labeling the near-collision event with a label determined based on the driver parameters;
- determining a cause of the near-collision event, comprising identifying an independent parameter of the parametric model with a highest weighted value;
- and
- transmitting the label to a remote computing system.
9 more elements
A method for near-collision analysis, comprising:
- sampling an external image with an external-facing camera mounted to a vehicle;
- determining obstacle parameters for an obstacle detected from the external image;
- generating a spatial risk map for the vehicle based on the obstacle parameters, the spatial risk map comprising a risk score for each of a set of spatial positions relative to the vehicle, wherein the risk score is determined using:
- a parametric model comprising a set of Gaussian models;
- the obstacle parameters;
- and
- driver parameters associated with a driver of the vehicle;
- detecting a near-collision event when a risk score within the spatial risk map exceeds a risk threshold;
- labeling the near-collision event with a label determined based on the driver parameters;
- transmitting the label to a remote computing system;
- and
- determining a cause of the near-collision event, comprising identifying an independent parameter of the parametric model with a highest weighted value.
9 more elements
The method of claim ii, further comprising:
- associating the near-collision event with a driver of the plurality;
- and
- for each of the plurality of drivers, determining a driver score based on a history of near-collision events associated with the driver.
17-19. (canceled)
Dependencies are inferred from the claim text.