SYSTEMS AND METHODS FOR NEAR-CRASH DETERMINATION
First Claim
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1. A method comprising:
- recording a first video with an external-facing camera mounted to a vehicle;
detecting an object from the first video;
determining object parameters for the object from the first video;
recording a second video with an internal-facing camera mounted to the vehicle;
determining a user behavior score based on the second video;
generating a risk map for the vehicle, the risk map comprising a risk score for each of a set of positions within a volume proximal the vehicle, each risk score calculated using a parametric module based on the user behavior score and object parameters;
detecting a near-collision event, comprising detecting a risk score within the risk map exceeding a threshold score;
storing a segment of the first video encompassing the near-collision event in response to detecting the near-collision event; and
identifying a cause of the near-collision event based on individual parameters of the parametric module.
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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.
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Citations
20 Claims
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1. A method comprising:
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recording a first video with an external-facing camera mounted to a vehicle; detecting an object from the first video; determining object parameters for the object from the first video; recording a second video with an internal-facing camera mounted to the vehicle; determining a user behavior score based on the second video; generating a risk map for the vehicle, the risk map comprising a risk score for each of a set of positions within a volume proximal the vehicle, each risk score calculated using a parametric module based on the user behavior score and object parameters; detecting a near-collision event, comprising detecting a risk score within the risk map exceeding a threshold score; storing a segment of the first video encompassing the near-collision event in response to detecting the near-collision event; and identifying a cause of the near-collision event based on individual parameters of the parametric module. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. A method comprising:
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at an on-board system, mounted to the vehicle and comprising an external-facing camera, statically mounted to an internal-facing camera, and a processor electrically connected to the external-facing and internal-facing cameras; concurrently recording a first video and second video using the external-facing camera and internal-facing camera, respectively; detecting an object from the first video at the processor; determining object parameters for the object from the first video at the processor; determining a user behavior score at the processor based on the second video and a known orientation of the external-facing camera relative to the internal-facing camera; generating a risk map for the vehicle in near-real time at the processor, the risk map comprising a risk score for each of a set of positions within a volume encompassing the vehicle, each risk score calculated using a parametric module based on the user behavior score and object parameters; and detecting a near-collision event based on the risk map; and at a remote computing system remote from the on-board system; storing the first video in response to detecting the near-collision event; storing a segment of the second video sampled after the near-collision event; and training a control module based on the first video and the segment of the second video, wherein a secondary vehicle is automatically controlled by the control module. - View Dependent Claims (18, 19, 20)
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Specification