WO2023126097A1 - Procédé et appareil de génération de réalité de terrain pour des limites de circulation - Google Patents

Procédé et appareil de génération de réalité de terrain pour des limites de circulation Download PDF

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Publication number
WO2023126097A1
WO2023126097A1 PCT/EP2022/081493 EP2022081493W WO2023126097A1 WO 2023126097 A1 WO2023126097 A1 WO 2023126097A1 EP 2022081493 W EP2022081493 W EP 2022081493W WO 2023126097 A1 WO2023126097 A1 WO 2023126097A1
Authority
WO
WIPO (PCT)
Prior art keywords
image information
vehicle
ground truth
boundaries
generating
Prior art date
Application number
PCT/EP2022/081493
Other languages
English (en)
Inventor
Andreas Wimmer
Original Assignee
Robert Bosch Gmbh
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Robert Bosch Gmbh filed Critical Robert Bosch Gmbh
Publication of WO2023126097A1 publication Critical patent/WO2023126097A1/fr

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Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/02Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to ambient conditions
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/80Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/56Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
    • G06V20/588Recognition of the road, e.g. of lane markings; Recognition of the vehicle driving pattern in relation to the road
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2420/00Indexing codes relating to the type of sensors based on the principle of their operation
    • B60W2420/40Photo or light sensitive means, e.g. infrared sensors
    • B60W2420/403Image sensing, e.g. optical camera

Abstract

La présente invention concerne un procédé de génération d'une réalité de terrain pour des limites de circulation. Le procédé consiste à : recevoir des premières informations d'image concernant l'environnement d'un véhicule à partir de caméras embarquées de premier type ; extraire des secondes informations d'image concernant des limites de circulation à partir des premières informations d'image ; et générer une réalité de terrain pour les limites de circulation sur la base au moins des secondes informations d'image. La réalité de terrain est utilisée pour valider une valeur détectée concernant les limites de circulation collectées par une caméra embarquée de second type. De plus, la présente invention concerne un appareil pour générer une réalité de terrain pour des limites de circulation, un support de stockage informatique et un véhicule de produit programme informatique.
PCT/EP2022/081493 2021-12-31 2022-11-10 Procédé et appareil de génération de réalité de terrain pour des limites de circulation WO2023126097A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202111662570.3A CN116416591A (zh) 2021-12-31 2021-12-31 用于行车边界的参考值生成方法及设备
CN202111662570.3 2021-12-31

Publications (1)

Publication Number Publication Date
WO2023126097A1 true WO2023126097A1 (fr) 2023-07-06

Family

ID=84365686

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/EP2022/081493 WO2023126097A1 (fr) 2021-12-31 2022-11-10 Procédé et appareil de génération de réalité de terrain pour des limites de circulation

Country Status (2)

Country Link
CN (1) CN116416591A (fr)
WO (1) WO2023126097A1 (fr)

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20200324795A1 (en) * 2019-04-12 2020-10-15 Nvidia Corporation Neural network training using ground truth data augmented with map information for autonomous machine applications

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20200324795A1 (en) * 2019-04-12 2020-10-15 Nvidia Corporation Neural network training using ground truth data augmented with map information for autonomous machine applications

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
BING MA ET AL: "Simultaneous Detection of Lane and Pavement Boundaries Using Model-Based Multisensor Fusion", IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, IEEE, PISCATAWAY, NJ, USA, vol. 1, no. 3, 1 September 2000 (2000-09-01), XP011028376, ISSN: 1524-9050 *
MURESAN MIRCEA PAUL ET AL: "Stabilization and Validation of 3D Object Position Using Multimodal Sensor Fusion and Semantic Segmentation", SENSORS, vol. 20, no. 4, 18 February 2020 (2020-02-18), pages 1110, XP055982375, DOI: 10.3390/s20041110 *
WEI ZHOU ET AL: "Automated Evaluation of Semantic Segmentation Robustness for Autonomous Driving", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 24 October 2018 (2018-10-24), XP080927273 *

Also Published As

Publication number Publication date
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