EP4004581A1 - Production de données de référence non sémantiques pour déterminer la position d'un véhicule à moteur - Google Patents
Production de données de référence non sémantiques pour déterminer la position d'un véhicule à moteurInfo
- Publication number
- EP4004581A1 EP4004581A1 EP20735552.0A EP20735552A EP4004581A1 EP 4004581 A1 EP4004581 A1 EP 4004581A1 EP 20735552 A EP20735552 A EP 20735552A EP 4004581 A1 EP4004581 A1 EP 4004581A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- raw data
- point cluster
- point
- data points
- cluster
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/41—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
-
- 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
- G01C21/38—Electronic maps specially adapted for navigation; Updating thereof
- G01C21/3804—Creation or updating of map data
- G01C21/3833—Creation or updating of map data characterised by the source of data
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/93—Radar or analogous systems specially adapted for specific applications for anti-collision purposes
- G01S13/931—Radar or analogous systems specially adapted for specific applications for anti-collision purposes of land vehicles
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/48—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S17/00
- G01S7/4802—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S17/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/906—Clustering; Classification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/23—Clustering techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/28—Determining representative reference patterns, e.g. by averaging or distorting; Generating dictionaries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
- G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
- G06T7/74—Determining position or orientation of objects or cameras using feature-based methods involving reference images or patches
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10028—Range image; Depth image; 3D point clouds
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10032—Satellite or aerial image; Remote sensing
- G06T2207/10044—Radar image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30248—Vehicle exterior or interior
- G06T2207/30252—Vehicle exterior; Vicinity of vehicle
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Data Mining & Analysis (AREA)
- Computer Networks & Wireless Communication (AREA)
- General Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Life Sciences & Earth Sciences (AREA)
- Artificial Intelligence (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- Databases & Information Systems (AREA)
- Multimedia (AREA)
- Automation & Control Theory (AREA)
- Electromagnetism (AREA)
- Navigation (AREA)
Abstract
Selon un procédé mis en œuvre par ordinateur et destiné à produire des données de référence sémantiques permettant de déterminer la position d'un véhicule à moteur (6), un jeu de points de données brutes (7), qui reproduit une zone environnante (11) prédéfinie, est préparé. Un descripteur prédéfini qui caractérise une propriété de la zone environnante (11) est déterminé pour chacun des points de données brutes. Au moins une grappe de points (9a, 9b, 9c, 9d, 9e, 9f) est produite, du fait que les points de données brutes (7) sont groupés en fonction de leurs descripteurs. Un indice caractéristique qui concerne un apport d'information pour effectuer la détermination de la position d'un véhicule à moteur (6) est associé à une première grappe de points en fonction des descripteurs des points de données brutes (7). En fonction de l'indice caractéristique, des informations caractéristiques de la première grappe de points sont mémorisées en tant que données de référence non sémantiques pour déterminer la position sur une unité de stockage (10).
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE102019119852.6A DE102019119852A1 (de) | 2019-07-23 | 2019-07-23 | Erzeugen nicht-semantischer Referenzdaten zur Positionsbestimmung eines Kraftfahrzeugs |
PCT/EP2020/068242 WO2021013475A1 (fr) | 2019-07-23 | 2020-06-29 | Production de données de référence non sémantiques pour déterminer la position d'un véhicule à moteur |
Publications (1)
Publication Number | Publication Date |
---|---|
EP4004581A1 true EP4004581A1 (fr) | 2022-06-01 |
Family
ID=71409410
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP20735552.0A Pending EP4004581A1 (fr) | 2019-07-23 | 2020-06-29 | Production de données de référence non sémantiques pour déterminer la position d'un véhicule à moteur |
Country Status (5)
Country | Link |
---|---|
US (1) | US20220262034A1 (fr) |
EP (1) | EP4004581A1 (fr) |
CN (1) | CN114144816A (fr) |
DE (1) | DE102019119852A1 (fr) |
WO (1) | WO2021013475A1 (fr) |
Family Cites Families (18)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7433509B1 (en) * | 2001-10-09 | 2008-10-07 | Nanometrics Incorporated | Method for automatic de-skewing of multiple layer wafer for improved pattern recognition |
JP4685501B2 (ja) * | 2004-07-07 | 2011-05-18 | 株式会社エヌ・ティ・ティ・ドコモ | チャネル割り当て方法 |
US8791996B2 (en) * | 2010-03-31 | 2014-07-29 | Aisin Aw Co., Ltd. | Image processing system and position measurement system |
US20130173225A1 (en) * | 2011-04-29 | 2013-07-04 | Thomson Licensing | Method for sampling mesh models and apparatus for sampling mesh models |
US20170242443A1 (en) * | 2015-11-02 | 2017-08-24 | Peloton Technology, Inc. | Gap measurement for vehicle convoying |
US9488492B2 (en) * | 2014-03-18 | 2016-11-08 | Sri International | Real-time system for multi-modal 3D geospatial mapping, object recognition, scene annotation and analytics |
US9311899B2 (en) * | 2012-10-12 | 2016-04-12 | International Business Machines Corporation | Detecting and describing visible features on a visualization |
US10706384B1 (en) * | 2013-02-07 | 2020-07-07 | United Parcel Service Of America, Inc. | Systems and methods for synchronized delivery |
US9129189B2 (en) * | 2013-08-14 | 2015-09-08 | Qualcomm Incorporated | Performing vocabulary-based visual search using multi-resolution feature descriptors |
US10586163B1 (en) * | 2014-06-06 | 2020-03-10 | Mmsr, Llc | Geographic locale mapping system for outcome prediction |
US9664779B2 (en) * | 2014-07-03 | 2017-05-30 | GM Global Technology Operations LLC | Object classification for vehicle radar systems |
EP3290864A1 (fr) * | 2016-08-30 | 2018-03-07 | Continental Automotive GmbH | Systeme d'assistance au conducteur destine a determiner une position d'un vehicule |
US10935978B2 (en) * | 2017-10-30 | 2021-03-02 | Nio Usa, Inc. | Vehicle self-localization using particle filters and visual odometry |
US11138037B2 (en) * | 2017-11-02 | 2021-10-05 | Mediatek Inc. | Switch policy for hybrid scheduling in multi-processor systems |
US10846511B2 (en) * | 2018-12-20 | 2020-11-24 | Here Global B.V. | Automatic detection and positioning of pole-like objects in 3D |
KR102376709B1 (ko) * | 2019-01-30 | 2022-03-18 | 바이두닷컴 타임즈 테크놀로지(베이징) 컴퍼니 리미티드 | 자율 주행 차량을 위한 포인트 클라우드 등록 시스템 |
US11468690B2 (en) * | 2019-01-30 | 2022-10-11 | Baidu Usa Llc | Map partition system for autonomous vehicles |
US11816997B2 (en) * | 2021-04-29 | 2023-11-14 | Ge Aviation Systems Llc | Demand driven crowdsourcing for UAV sensor |
-
2019
- 2019-07-23 DE DE102019119852.6A patent/DE102019119852A1/de active Pending
-
2020
- 2020-06-29 CN CN202080053013.9A patent/CN114144816A/zh active Pending
- 2020-06-29 US US17/628,970 patent/US20220262034A1/en active Pending
- 2020-06-29 EP EP20735552.0A patent/EP4004581A1/fr active Pending
- 2020-06-29 WO PCT/EP2020/068242 patent/WO2021013475A1/fr unknown
Also Published As
Publication number | Publication date |
---|---|
DE102019119852A1 (de) | 2021-01-28 |
CN114144816A (zh) | 2022-03-04 |
US20220262034A1 (en) | 2022-08-18 |
WO2021013475A1 (fr) | 2021-01-28 |
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