Confidence estimation for predictive driver assistance systems based on plausibility rules
US-9889858-B2 · Feb 13, 2018 · US
Object identification device
US2016349358A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2016349358-A1 |
| Application number | US-201514853178-A |
| Country | US |
| Kind code | A1 |
| Filing date | Sep 14, 2015 |
| Priority date | May 29, 2015 |
| Publication date | Dec 1, 2016 |
| Grant date | — |
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Abstract
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An object identification device that can accurately identify a detected object is obtained. A radar inputs a radar confidence for an object in each of categories to a CPU; a camera inputs a camera confidence for an object in each of categories to the CPU; the CPU weighted-averages the respective confidences of the radar and the camera for each category so as to obtain the average confidence of each category; then, the category having a highest average confidence is identified as the kind of the object.
First claim
Opening claim text (preview).
What is claimed is: 1 . An object identification device comprising: a plurality of sensors that each output a confidence indicating a degree of matching with a category preliminarily determined for the kind of a detected object; and a processing unit that obtains an average confidence for each of the categories by averaging the confidences of the sensors and then identifies the category having a highest average confidence as the kind of the object. 2 . The object identification device according to claim 1 , wherein the average confidence in the processing unit is obtained by weighted-averaging the confidences of the sensors. 3 . The object identification device according to claim 1 , wherein the sensor is a radar and outputs to the processing unit a radar confidence vs. reception level, for each of the categories, which is obtained from the reception level of an electric wave to be reflected on the object and received by the radar and the distance to the object. 4 . The object identification device according to claim 2 , wherein the sensor is a radar and outputs to the processing unit a radar confidence vs. reception level, for each of the categories, which is obtained from the reception level of an electric wave to be reflected on the object and received by the radar and the distance to the object. 5 . The object identification device according to claim 1 , wherein the sensor is a camera and outputs to the processing unit a camera confidence for each of the categories, which is obtained from a degree of matching with each of the categories, obtained by implementing pattern matching between an image obtained by taking a picture thereof and the object in each of the categories. 6 . The object identification device according to claim 2 , wherein the sensor is a camera and outputs to the processing unit a camera confidence for each of the categories, which is obtained from a degree of matching with each of the categories, obtained by implementing pattern matching between an image obtained by taking a picture thereof and the object in each of the categories.
Assignees
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Classifications
identifying vehicles (G08G1/015, G08G1/054 take precedence) · CPC title
Combination of radar systems with lidar systems · CPC title
using transmission of interrupted, pulse modulated waves (determination of distance by phase measurement G01S13/32) · CPC title
- G01S13/867Primary
Combination of radar systems with cameras · CPC title
based on a comparison between measured values and known or stored values · CPC title
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- What does patent US2016349358A1 cover?
- An object identification device that can accurately identify a detected object is obtained. A radar inputs a radar confidence for an object in each of categories to a CPU; a camera inputs a camera confidence for an object in each of categories to the CPU; the CPU weighted-averages the respective confidences of the radar and the camera for each category so as to obtain the average confidence of …
- Who is the assignee on this patent?
- Mitsubishi Electric Corp
- What technology area does this patent fall under?
- Primary CPC classification G01S13/867. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Thu Dec 01 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 5 related publications on this page (citations in our corpus or others sharing the same primary CPC).