CN116324907A - 用于确定在机动车环境中的可能元素的存在概率的方法、驾驶员辅助***和机动车 - Google Patents
用于确定在机动车环境中的可能元素的存在概率的方法、驾驶员辅助***和机动车 Download PDFInfo
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- CN116324907A CN116324907A CN202180070273.1A CN202180070273A CN116324907A CN 116324907 A CN116324907 A CN 116324907A CN 202180070273 A CN202180070273 A CN 202180070273A CN 116324907 A CN116324907 A CN 116324907A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
- G06V10/765—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects using rules for classification or partitioning the feature space
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- 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
- G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
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- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Remote Sensing (AREA)
- Radar, Positioning & Navigation (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Multimedia (AREA)
- Computing Systems (AREA)
- Medical Informatics (AREA)
- Software Systems (AREA)
- General Health & Medical Sciences (AREA)
- Evolutionary Computation (AREA)
- Databases & Information Systems (AREA)
- Health & Medical Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Artificial Intelligence (AREA)
- Automation & Control Theory (AREA)
- Traffic Control Systems (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DE102020213831.1A DE102020213831B4 (de) | 2020-11-03 | 2020-11-03 | Verfahren zum Ermitteln einer Existenzwahrscheinlichkeit eines möglichen Elements in einer Umgebung eines Kraftfahrzeugs, Fahrerassistenzsystem und Kraftfahrzeug |
| DE102020213831.1 | 2020-11-03 | ||
| PCT/EP2021/078236 WO2022096236A1 (de) | 2020-11-03 | 2021-10-12 | Verfahren zum ermitteln einer existenzwahrscheinlichkeit eines möglichen elements in einer umgebung eines kraftfahrzeugs, fahrerassistenzsystem und kraftfahrzeug |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116324907A true CN116324907A (zh) | 2023-06-23 |
Family
ID=78212113
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202180070273.1A Pending CN116324907A (zh) | 2020-11-03 | 2021-10-12 | 用于确定在机动车环境中的可能元素的存在概率的方法、驾驶员辅助***和机动车 |
Country Status (3)
| Country | Link |
|---|---|
| CN (1) | CN116324907A (de) |
| DE (1) | DE102020213831B4 (de) |
| WO (1) | WO2022096236A1 (de) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117131150B (zh) * | 2023-10-26 | 2023-12-26 | 毫末智行科技有限公司 | 电子地图的生成方法、装置、车辆和存储介质 |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20100100842A (ko) * | 2007-11-02 | 2010-09-15 | 콘티넨탈 테베스 아게 운트 코. 오하게 | 디지털 맵의 검증 |
| DE102016215249B4 (de) | 2016-08-16 | 2022-03-31 | Volkswagen Aktiengesellschaft | Verfahren und Vorrichtung zum Unterstützen eines Fahrerassistenzsystems in einem Kraftfahrzeug |
| EP3563265B1 (de) | 2016-12-30 | 2021-06-02 | DeepMap Inc. | Aktualisierungen von hochauflösenden karten |
| CA3049155C (en) | 2017-01-05 | 2023-09-19 | Fraunhofer-Gesellschaft Zur Foerderung Der Angewandten Forschung E.V. | Generation and use of hd maps |
| DE102017207441A1 (de) | 2017-05-03 | 2018-11-08 | Audi Ag | Verfahren zum Überprüfen einer digitalen Umgebungskarte für ein Fahrerassistenzsystem eines Kraftfahrzeugs, Rechenvorrichtung, Fahrerassistenzsystem sowie Kraftfahrzeug |
| DE102017207790B4 (de) * | 2017-05-09 | 2018-12-27 | Continental Teves Ag & Co. Ohg | Verfahren zum Fusionieren von Daten auf hoher Fusionsebene für ein Strassenmodell zum beispielhaften Anwenden bei mehrspurigen Geschwindigkeitsbegrenzungs-Inferenzen, und eine Vorrichtung zur Durchführung des Verfahrens |
| DE102019200347A1 (de) | 2019-01-14 | 2020-07-16 | Continental Automotive Gmbh | Entfernen von Objekten aus einer digitalen Straßenkarte |
-
2020
- 2020-11-03 DE DE102020213831.1A patent/DE102020213831B4/de active Active
-
2021
- 2021-10-12 WO PCT/EP2021/078236 patent/WO2022096236A1/de active Application Filing
- 2021-10-12 CN CN202180070273.1A patent/CN116324907A/zh active Pending
Also Published As
| Publication number | Publication date |
|---|---|
| DE102020213831A1 (de) | 2022-05-05 |
| DE102020213831B4 (de) | 2023-02-02 |
| WO2022096236A1 (de) | 2022-05-12 |
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