WO2019042728A3 - Reconnaissance d'usagers de la route sur une voie de circulation - Google Patents
Reconnaissance d'usagers de la route sur une voie de circulation Download PDFInfo
- Publication number
- WO2019042728A3 WO2019042728A3 PCT/EP2018/071494 EP2018071494W WO2019042728A3 WO 2019042728 A3 WO2019042728 A3 WO 2019042728A3 EP 2018071494 W EP2018071494 W EP 2018071494W WO 2019042728 A3 WO2019042728 A3 WO 2019042728A3
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- road users
- traffic route
- detection
- object detection
- suggested regions
- Prior art date
Links
Classifications
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/0116—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from roadside infrastructure, e.g. beacons
-
- 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
- G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
-
- 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
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
-
- 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
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
- G06V20/54—Surveillance or monitoring of activities, e.g. for recognising suspicious objects of traffic, e.g. cars on the road, trains or boats
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
- G08G1/0145—Measuring and analyzing of parameters relative to traffic conditions for specific applications for active traffic flow control
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/04—Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
- G08G1/08—Controlling traffic signals according to detected number or speed of vehicles
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Multimedia (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Evolutionary Computation (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Computing Systems (AREA)
- Databases & Information Systems (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Software Systems (AREA)
- Artificial Intelligence (AREA)
- Health & Medical Sciences (AREA)
- Traffic Control Systems (AREA)
Abstract
L'invention concerne un procédé (10) de reconnaissance d'usagers de la route (12) sur une voie de circulation (14) dans une image. Le procédé comprend : - générer (42) une pluralité de propositions de zone (18) pour des objets possibles, enregistrés dans l'image (16), par application d'un générateur de propositions de zone ; - fournir la détection d'objet (72) pour toutes les propositions de zone (18) afin de détecter la voie de circulation (14) et/ou les usagers de la route (12) par classification avec prise en compte d'un niveau de confiance prédéfini ; - délivrer des données de détection, qui sont reçues par la détection d'objet ; et - fournir un filtrage (48) pour les propositions de zone (18) avant l'étape consistant à fournir une détection d'objet, le filtrage étant effectué sur la base de données de filtrage respectives, estimé sur la base d'une pertinence des propositions de zone (18) concernant les usagers de la route (12) et/ou la voie de circulation (14).
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE102017215079.3 | 2017-08-29 | ||
DE102017215079.3A DE102017215079A1 (de) | 2017-08-29 | 2017-08-29 | Erfassen von Verkehrsteilnehmern auf einem Verkehrsweg |
Publications (2)
Publication Number | Publication Date |
---|---|
WO2019042728A2 WO2019042728A2 (fr) | 2019-03-07 |
WO2019042728A3 true WO2019042728A3 (fr) | 2019-04-25 |
Family
ID=63259495
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/EP2018/071494 WO2019042728A2 (fr) | 2017-08-29 | 2018-08-08 | Reconnaissance d'usagers de la route sur une voie de circulation |
Country Status (2)
Country | Link |
---|---|
DE (1) | DE102017215079A1 (fr) |
WO (1) | WO2019042728A2 (fr) |
Families Citing this family (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE102019007057B4 (de) | 2019-10-10 | 2022-06-30 | CGF Counsel Group Frankfurt AG | AUßENBEREICHSVORRICHTUNG MIT ELEKTRONISCHER KOMPONENTE |
DE102019007058A1 (de) | 2019-10-10 | 2021-04-15 | CGF Counsel Group Frankfurt AG | Vorrichtung innerhalb eines masts und verfahren |
CN113139427A (zh) * | 2021-03-12 | 2021-07-20 | 浙江智慧视频安防创新中心有限公司 | 基于深度学习的蒸汽管网智能监控方法、系统及设备 |
DE102021117613A1 (de) | 2021-07-08 | 2023-01-12 | Valeo Schalter Und Sensoren Gmbh | Verfahren zum betreiben eines parkassistenzsystems, computerprogrammprodukt und parkassistenzsystem |
CN113807270A (zh) | 2021-09-22 | 2021-12-17 | 北京百度网讯科技有限公司 | 道路拥堵检测方法、装置及电子设备 |
CN117710795B (zh) * | 2024-02-06 | 2024-06-07 | 成都同步新创科技股份有限公司 | 一种基于深度学习的机房线路安全性检测方法及系统 |
Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104658279A (zh) * | 2015-02-17 | 2015-05-27 | 公安部交通管理科学研究所 | 基于视频通行状态监测的实时优化信号控制方法及系统 |
Family Cites Families (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102473307B (zh) * | 2010-03-15 | 2015-05-27 | 松下电器产业株式会社 | 用于轨迹估计的方法和装置以及用于分割的方法 |
US9947077B2 (en) * | 2013-12-31 | 2018-04-17 | Thomson Licensing | Video object tracking in traffic monitoring |
JP6604019B2 (ja) * | 2015-04-14 | 2019-11-13 | ソニー株式会社 | 画像処理装置、画像処理方法、および画像処理システム |
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2017
- 2017-08-29 DE DE102017215079.3A patent/DE102017215079A1/de active Pending
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2018
- 2018-08-08 WO PCT/EP2018/071494 patent/WO2019042728A2/fr active Application Filing
Patent Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104658279A (zh) * | 2015-02-17 | 2015-05-27 | 公安部交通管理科学研究所 | 基于视频通行状态监测的实时优化信号控制方法及系统 |
Non-Patent Citations (9)
Title |
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"Medical image computing and computer-assisted intervention - MICCAI 2015 : 18th international conference, Munich, Germany, October 5-9, 2015; proceedings", vol. 8691, 1 January 2014, SPRINGER INTERNATIONAL PUBLISHING, Cham, ISBN: 978-3-642-38081-5, ISSN: 0302-9743, article XINGYU ZENG ET AL: "Deep Learning of Scene-Specific Classifier for Pedestrian Detection", pages: 472 - 487, XP055424079, 032548, DOI: 10.1007/978-3-319-10578-9_31 * |
ALA MHALLA ET AL: "SMC faster R-CNN: Toward a scene-specialized multi-object detector", COMPUTER VISION AND IMAGE UNDERSTANDING., vol. 164, 30 June 2017 (2017-06-30), US, pages 3 - 15, XP055521016, ISSN: 1077-3142, DOI: 10.1016/j.cviu.2017.06.008 * |
ANDREAS GEIGER ET AL: "Joint 3D Estimation of Objects and Scene Layout", 1 January 2011 (2011-01-01), XP055520458, Retrieved from the Internet <URL:http://www.cs.utoronto.ca/~urtasun/publications/geiger_et_al_nips11.pdf> [retrieved on 20181031] * |
CHEN XIAOZHI ET AL: "Monocular 3D Object Detection for Autonomous Driving", 2016 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), IEEE, 27 June 2016 (2016-06-27), pages 2147 - 2156, XP033021394, DOI: 10.1109/CVPR.2016.236 * |
JIFENG DAI ET AL: "R-FCN: Object Detection via Region-based Fully Convolutional Networks", IADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS, 21 June 2016 (2016-06-21), XP055486238, Retrieved from the Internet <URL:https://arxiv.org/pdf/1605.06409.pdf> [retrieved on 20180620] * |
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MAYANK BANSAL ET AL: "A real-time pedestrian detection system based on structure and appearance classification", 2010 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION : ICRA 2010 ; ANCHORAGE, ALASKA, USA, 3 - 8 MAY 2010, IEEE, PISCATAWAY, NJ, USA, 3 May 2010 (2010-05-03), pages 903 - 909, XP031743776, ISBN: 978-1-4244-5038-1 * |
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WANG XIAOGANG ET AL: "Scene-Specific Pedestrian Detection for Static Video Surveillance", IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, IEEE COMPUTER SOCIETY, USA, vol. 36, no. 2, 1 February 2014 (2014-02-01), pages 361 - 374, XP011534231, ISSN: 0162-8828, [retrieved on 20131218], DOI: 10.1109/TPAMI.2013.124 * |
Also Published As
Publication number | Publication date |
---|---|
DE102017215079A1 (de) | 2019-02-28 |
WO2019042728A2 (fr) | 2019-03-07 |
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