EP 3248140 A4 20181205 - REAL TIME MACHINE VISION AND POINT-CLOUD ANALYSIS FOR REMOTE SENSING AND VEHICLE CONTROL
Title (en)
REAL TIME MACHINE VISION AND POINT-CLOUD ANALYSIS FOR REMOTE SENSING AND VEHICLE CONTROL
Title (de)
ECHTZEITMASCHINENVISION UND PUNKTWOLKENANALYSE ZUR ENTFERNTEN MESSUNG UND FAHRZEUGSTEUERUNG
Title (fr)
VISION INDUSTRIELLE ET ANALYSE DE NUAGE DE POINTS EN TEMPS RÉEL POUR LA TÉLÉDÉTECTION ET LA COMMANDE DE VÉHICULE
Publication
Application
Priority
- US 201562105696 P 20150120
- US 2016014196 W 20160120
Abstract (en)
[origin: WO2016118672A2] Methods and apparatus for real time machine vision and point-cloud data analysis are provided, for remote sensing and vehicle control. Point cloud data can be analyzed via scalable, centralized, cloud computing systems for extraction of asset information and generation of semantic maps. A data storage / preprocessor (1220) subdivides a data set for streaming to a distributed processing unit (1240) and operation via data analysis mechanisms (1250). The output of the processing unit (1240) is aggregated by a map generator (1230). Machine learning components can optimize data analysis mechanisms to improve asset and feature extraction from sensor data. Optimized data analysis mechanisms can be downloaded to vehicles for use in on-board systems analyzing vehicle sensor data. Semantic map data can be used locally in vehicles, along with onboard sensors, to derive precise vehicle localization and provide input to vehicle to control systems.
IPC 8 full level
B61L 25/02 (2006.01); B61L 3/12 (2006.01); B61L 23/04 (2006.01); B61L 23/34 (2006.01); B61L 27/04 (2006.01)
CPC (source: EP)
B61L 3/127 (2013.01); B61L 23/041 (2013.01); B61L 23/34 (2013.01); B61L 25/025 (2013.01); B61L 25/026 (2013.01); B61L 27/04 (2013.01); G01S 17/931 (2020.01); G06V 20/10 (2022.01); G06V 20/59 (2022.01); B61L 2205/04 (2013.01); G06V 2201/02 (2022.01)
Citation (search report)
- [XI] WO 2014098951 A1 20140626 - WABTEC HOLDING CORP [US]
- [A] DE 102013104088 A1 20141023 - DEUTSCHES ZENTRUM FUER LUFT & RAUMFAHRT EV [DE]
- [A] SOTIRIS BRAKATSOULAS ET AL: "On map-matching vehicle tracking data", PROCEEDINGS OF THE 31ST VLDB CONFERENCE, ACM, US, 30 August 2005 (2005-08-30), pages 853 - 864, XP058194052, ISBN: 978-1-59593-154-2
- See references of WO 2016118672A2
Designated contracting state (EPC)
AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
DOCDB simple family (publication)
WO 2016118672 A2 20160728; WO 2016118672 A3 20161020; CN 107533630 A 20180102; EP 3248140 A2 20171129; EP 3248140 A4 20181205; JP 2018508418 A 20180329
DOCDB simple family (application)
US 2016014196 W 20160120; CN 201680006431 A 20160120; EP 16740714 A 20160120; JP 2017556798 A 20160120