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Method For Operating A Self-Propelled Agricultural Working Machine - EP3466240

The patent EP3466240 was granted to Claas E Systems on Mar 9, 2022. The application was originally filed on Jul 26, 2018 under application number EP18185672A. The patent is currently recorded with a legal status of "Granted And Under Opposition".

EP3466240

CLAAS E SYSTEMS
Application Number
EP18185672A
Filing Date
Jul 26, 2018
Status
Granted And Under Opposition
Feb 4, 2022
Grant Date
Mar 9, 2022
External Links
Slate, Register, Google Patents

Patent Summary

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Patent Family

Patent Oppositions (2)

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CNH INDUSTRIAL BELGIUMDec 5, 2022BEETZADMISSIBLE
DEERE & COMPANYJOHN DEERENov 16, 2022HOLSTADMISSIBLE

Patent Citations (7) New

Patent citations refer to prior patents cited during different phases such as opposition or international search.

Citation PhasePublication NumberPublication Link
DESCRIPTIONDE102015116586
DESCRIPTIONDE102016118227
OPPOSITIONDE102015116586
OPPOSITIONEP3299995
OPPOSITIONEP3299996
SEARCHDE102015116586
SEARCHUS2003184747

Non-Patent Literature (NPL) Citations (13) New

NPL citations refer to non-patent references such as research papers, articles, or other publications cited during examination or opposition phases.

Citation PhaseReference TextLink
OPPOSITION- B. BENET et al., "Fusion between a color camera and a TOF camera to improve traversability of agricultural vehicles", Conférence CIGR-AGENG 2016. The 6th International Workshop Applications of Computer Image Analysis and Spectroscopy in Agriculture, Aarhus, Denmark, (20160600), vol. 8, page hal-01580255, XP093009206-
OPPOSITION- CHARLES MURRAY, "Sensor Fusion Software Simplifies Design of Robots", Autonomous Cars, (20170626), URL: https://www.designnews.com/automation-motion-control/se nsor-fusion-software-simplifies-desig n- robots-autonomous-cars, XP093009207-
OPPOSITION- M. KRAGH et al., "Multi-modal Obstacle Detection and Evaluation of Occupancy Grid Mapping in Agriculture", CIGR-AgEng Conference, Aarhus, Denmark, (20160626), pages 1 - 9, XP093002631-
OPPOSITION- RAPHAËL ROUVEURE et al., "multi-sensory approach for obstacle detection in agricultural autonomous robotics", The QUAD-AV Project, (20120100), XP093009204-
OPPOSITION- Mikkel Kragh; James Underwood, "Multi-Modal Obstacle Detection in Unstructured Environments with Conditional Random Fields", Journal of Field Robotics, (20170906), pages 1 - 27, XP081126915
OPPOSITION- Baltzakis H; Argyros A; Trahanias P, "Fusion of laser and visual data for robot motion planning and collision avoidance", MACHINE VISION AND APPLICATIONS., SPRINGER VERLAG., DE, DE , (20031201), vol. 115, no. 2, doi:10.1007/s00138-003-0133-2, ISSN 0932-8092, pages 92 - 100, XP008138453
OPPOSITION- Yan Jizhou; Chen Dongdong; Myeong Heesoo; Shiratori Takaaki; Ma Yi, "Automatic Extraction of Moving Objects from Image and LIDAR Sequences", 2014 2nd International Conference on 3D Vision, IEEE, (20141208), vol. 1, doi:10.1109/3DV.2014.94, pages 673 - 680, XP032733102
OPPOSITION- S. LAIBLE et al., "Terrain classification with conditional random fields on fused 3D LIDAR and camera data", 2013 European Conference on Mobile Robots, (20130900), pages 172 - 177, XP032548183
OPPOSITION- J. STROM et al., "Graph-based segmentation for colored 3D laser point clouds", 2010 IEEE /RSJ International Conference on Intelligent Robots and Systems, (20100000), doi:10.1109/IROS.2010.5650459, pages 2131 - 2136, XP031920402
OPPOSITION- A. HUSSEIN et al., "Autonomous off-road navigation using stereo-vision and laser -rangefinder fusion for outdoor obstacles detection", 2016 IEEE Intelligent Vehicles Symposium, (20160000), vol. IV, doi:10.1109/IVS.2016.7535372, pages 104 - 109, XP032938950
OPPOSITION- C. S. DIMA et al., "Classifier fusion for outdoor obstacle detection", IEEE International Conference on Robotics and Automation (ICRA, (20040000), vol. 1, doi:10.1109/ROBOT.2004.1307225, pages 665 - 671, XP010768350
OPPOSITION- Maria Garcia-Alegre, David Martin, D. Miguel Guinea And Domingo Guinea, "Real-Time Fusion of Visual Images and Laser Data Images for Safe Navigation in Outdoor Environments", Sensor Fusion - Foundation and Applications, InTech, http://www.intechopen.com, doi:10.5772/16690, ISBN 9789533074467, (20110624), pages 121 - 138, Sensor Fusion - Foundation and Applications, URL: http://www.intechopen.com/books/sensor-fusion-foundation-and-applications/real-time-fusion-of-visual-images-and-laser-data-images-for-safe-navigation-in-outdoor-environments, (20121015), XP055041041
SEARCH- GIULIO REINA ET AL, "Towards Autonomous Agriculture: Automatic Ground Detection Using Trinocular Stereovision", SENSORS, (20120912), vol. 12, no. 12, doi:10.3390/s120912405, pages 12405 - 12423, XP055401661 [A] 1 * page 1 - page 15 *

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