WO2021206828A3 - Generation and usage of semantic features for detection and correction of perception errors - Google Patents
Generation and usage of semantic features for detection and correction of perception errors Download PDFInfo
- Publication number
- WO2021206828A3 WO2021206828A3 PCT/US2021/020555 US2021020555W WO2021206828A3 WO 2021206828 A3 WO2021206828 A3 WO 2021206828A3 US 2021020555 W US2021020555 W US 2021020555W WO 2021206828 A3 WO2021206828 A3 WO 2021206828A3
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- perception
- list
- generation
- errors
- usage
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/42—Global feature extraction by analysis of the whole pattern, e.g. using frequency domain transformations or autocorrelation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/98—Detection or correction of errors, e.g. by rescanning the pattern or by human intervention; Evaluation of the quality of the acquired patterns
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Quality & Reliability (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Image Analysis (AREA)
Abstract
Described is a system for detecting and correcting perception errors in a perception system. In operation, the system generates a list of detected objects from perception data of a scene, which allows for the generation of a list of background classes from backgrounds in the perception data associated with the list of detected objects. For each detected object in the list of detected objects, a closest background class is identified from the list of background classes. Vectors can then be used to determine a semantic feature, which is used to identify axioms. An optimal perception parameter is then generated, which is used to adjust perception parameters in the perception system to minimize perception errors.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202180008841.5A CN114930406A (en) | 2020-03-03 | 2021-03-02 | Generation and use of semantic features for detection and correction of perceptual errors |
| EP21770086.3A EP4115326A2 (en) | 2020-03-03 | 2021-03-02 | Generation and usage of semantic features for detection and correction of perception errors |
Applications Claiming Priority (6)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US202062984728P | 2020-03-03 | 2020-03-03 | |
| US62/984,728 | 2020-03-03 | ||
| US17/030,354 | 2020-09-23 | ||
| US17/030,354 US11334767B2 (en) | 2019-09-24 | 2020-09-23 | System and method of perception error evaluation and correction by solving optimization problems under the probabilistic signal temporal logic based constraints |
| US17/133,345 US11350039B2 (en) | 2019-09-24 | 2020-12-23 | Contrast and entropy based perception adaptation using probabilistic signal temporal logic based optimization |
| US17/133,345 | 2020-12-23 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| WO2021206828A2 WO2021206828A2 (en) | 2021-10-14 |
| WO2021206828A3 true WO2021206828A3 (en) | 2022-03-03 |
Family
ID=78026175
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/US2021/020555 WO2021206828A2 (en) | 2020-03-03 | 2021-03-02 | Generation and usage of semantic features for detection and correction of perception errors |
Country Status (3)
| Country | Link |
|---|---|
| EP (1) | EP4115326A2 (en) |
| CN (1) | CN114930406A (en) |
| WO (1) | WO2021206828A2 (en) |
-
2021
- 2021-03-02 EP EP21770086.3A patent/EP4115326A2/en active Pending
- 2021-03-02 WO PCT/US2021/020555 patent/WO2021206828A2/en unknown
- 2021-03-02 CN CN202180008841.5A patent/CN114930406A/en active Pending
Non-Patent Citations (1)
| Title |
|---|
| GUPTA DIKSHANT ET AL: "A Multi-Space Approach to Zero-Shot Object Detection", 2020 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV), IEEE, 1 March 2020 (2020-03-01), pages 1198 - 1206, XP033771032, DOI: 10.1109/WACV45572.2020.9093384 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114930406A (en) | 2022-08-19 |
| EP4115326A2 (en) | 2023-01-11 |
| WO2021206828A2 (en) | 2021-10-14 |
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