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US 11,113,961 B2Granted
Driver behavior monitoring
AssigneeNetradyne, Inc.
InventorsDavid Jonathan Julian, Avneesh Agrawal
Life of this patent
Estimating the term…
Abstract
Systems and methods provide, implement, and use using a computer-vision based methods of context-sensitive monitoring and characterization of driver behavior. Additional systems and methods are provided for unsupervised learning of action values, monitoring of a driver's environment, and transmitting visual information from a client to a server.
Claims10
A method comprising:
- detecting, by at least one processor of a computing device in communication with a camera, the presence of a traffic light, a state of the traffic light, and an intersection marking in a field of view of the camera, wherein the camera is mounted on or in a vehicle;
- and
- determining, by the at least one processor, that the vehicle passed the intersection marking after the traffic light turned red, based at least in part on first visual data captured by the camera,
- wherein detecting the presence of the traffic light further comprises:
- initially receiving, by the at least one processor, the first visual data;
- and
- identifying, by the at least one processor, a location of the traffic light in the first visual data, and
- wherein determining that the vehicle passed the intersection marking after the traffic light turned red further comprises:
- identifying, by the at least one processor, that the traffic light is in a red state in the first visual data;
- determining, by the at least one processor, that the vehicle was not in the intersection at a first time corresponding to when the visual data was captured;
- receiving, by the at least one processor, second visual data captured by the camera, wherein the second visual data is captured by the camera subsequent to the capture of the first visual data;
- identifying, by the at least one processor, a second location of the traffic light in the second visual data;
- based at least in part on the first location of the traffic light in the first visual data;
- identifying, by the at least one processor, that the traffic light is in a red state in the second visual data;
- and
- determining, by the at least one processor, that the vehicle was in the intersection at a second time;
- wherein the second time corresponds to when the second visual data was captured.
14 more elements
A method comprising:
- detecting, by at least one processor of a computing device in communication with a camera, at a first time, the presence of a traffic light, a state of the traffic light, and an intersection marking in a field of view of the camera, wherein the camera is mounted on or in a vehicle;
- detecting, by the at least one processor, that the traffic light turned yellow at a second time subsequent to the first time;
- determining, by the at least one processor, a distance between the vehicle and the intersection marking at the second time, wherein the traffic light is associated with the intersection marking;
- and
- determining, by the at least one processor, a speed of the vehicle at the second time;
- determining, by the at least one processor, that the vehicle did not stop at the intersection;
- determining, by the at least one processor, that the traffic light turned red before the vehicle was in the intersection;
- and
- determining, by the at least one processor, that the vehicle appropriately ran a red light based on at least one of:
- the determined distance between the vehicle and the intersection at the first time, the speed of the vehicle at the second time, or some combination thereof.
7 more elements
Dependencies are inferred from the claim text.