Extravisual obstacle detecting system
US-10634782-B2 · Apr 28, 2020 · US
Transportation infrastructure communication and control
US10953871B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10953871-B2 |
| Application number | US-201816018145-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 26, 2018 |
| Priority date | Jun 26, 2018 |
| Publication date | Mar 23, 2021 |
| Grant date | Mar 23, 2021 |
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- Title
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Abstract
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In a computer mounted to a stationary support structure a vehicle and an object proximate to the support structure can be detected from data from a sensor mounted to the support structure. A risk condition can be identified based on the detected vehicle and object.
First claim
Opening claim text (preview).
What is claimed is: 1. A system, comprising: a stationary support structure; and a sensor and a computer, each mounted to the support structure; wherein the computer is programmed to detect a vehicle and an object proximate to the support structure from data from the sensor mounted to the support structure, and to identify a risk event based on a location and velocity of the detected vehicle, a location and velocity of the detected object, and a classification of the object. 2. The system of claim 1 , wherein the computer is further programmed to send an instruction to the vehicle to adjust a vehicle speed based on the risk event. 3. The system of claim 1 , wherein the computer is programmed to identify the risk event further based on a distance between the detected vehicle and the object. 4. The system of claim 1 , wherein the computer is programmed to identify the risk event further based on a location of the support structure. 5. The system of claim 1 , wherein the computer is programmed to identify the risk event further based on a speed of the vehicle. 6. The system of claim 1 , wherein the computer is programmed to identify the risk event further based on a speed of the object. 7. The system of claim 1 , further comprising a second sensor mounted to the support structure, wherein the sensor and the second sensor include a camera and a lidar. 8. The system of claim 7 , wherein the computer is further programmed to detect the vehicle and the object proximate to the support structure from data from the sensor and the second sensor. 9. The system of claim 1 , wherein the detected object is a stationary object. 10. The system of claim 1 , wherein the detected object is a mobile object. 11. A method, comprising: in a computer mounted to a stationary support structure, detecting a vehicle and an object proximate to the support structure from data from a sensor mounted to the support structure; and identifying a risk event based on a location and velocity of the detected vehicle, a location and velocity of the detected object, and a classification of the object. 12. The method of claim 11 , further comprising sending, from the computer mounted to the support structure, an instruction to the vehicle to adjust a vehicle speed based on the risk event. 13. The method of claim 11 , further comprising identifying the risk event further based on a distance between the detected vehicle and the object. 14. The method of claim 11 , further comprising identifying the risk event further based on a location of the support structure. 15. The method of claim 11 , further comprising identifying the risk event further based on a speed of the vehicle. 16. The method of claim 11 , further comprising identifying the risk event further based on a speed of the object. 17. The method of claim 11 , wherein a second sensor is mounted to the support structure, wherein the sensor and the second sensor include a camera and a lidar. 18. The method of claim 17 , further comprising detecting the vehicle and the object proximate to the support structure from data from the sensor and the second sensor. 19. The method of claim 11 , wherein the detected object is a stationary object. 20. The method of claim 11 , wherein the detected object is a mobile object.
Assignees
Inventors
Classifications
- G06V20/54Primary
of traffic, e.g. cars on the road, trains or boats · CPC title
of input or preprocessed data · CPC title
- B60W30/09Primary
Taking automatic action to avoid collision, e.g. braking and steering · CPC title
of input or preprocessed data · CPC title
of vehicle lights or traffic lights · CPC title
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Frequently asked questions
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- What does patent US10953871B2 cover?
- In a computer mounted to a stationary support structure a vehicle and an object proximate to the support structure can be detected from data from a sensor mounted to the support structure. A risk condition can be identified based on the detected vehicle and object.
- Who is the assignee on this patent?
- Ford Global Tech Llc
- What technology area does this patent fall under?
- Primary CPC classification G06V20/54. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Tue Mar 23 2021 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 6 related publications on this page (citations in our corpus or others sharing the same primary CPC).