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LastUpdate Updated on 04/11/2026 [07:56:00]
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Solicitudes publicadas en los últimos 30 días / Applications published in the last 30 days
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DEVICE, INSTALLATION AND METHOD FOR DETECTING SURFACE LANDSLIDE PHENOMENA IN VINEYARDS

Publication No.:  EP4817406A1 07/10/2026
Applicant: 
MACCAFERRI OFF SPA [IT]
Officine Maccaferri S.p.A.
EP_4817406_PA

Absstract of: EP4817406A1

0001 A sensorized vineyard pole (21) for supporting a row in an espalier type vineyard (1), in particular on a slope, is configured to detect surface landslide phenomena. The pole has a structural body (22) which supports a detection device (6) with an electronic assembly (23). The electronic assembly (23) comprises at least one inclination and/or movement sensor (11) suitable for detecting the inclination and/or movement of the pole, an electronic controller (12) which is programmed to emit an event signal which indicates a signal which is sent to the electronic controller from the inclination and/or movement sensor (11) and a transmitter (14) which is connected to the electronic controller (12) and provided to transmit the event signal which is emitted by the electronic controller.

SYSTEM AND METHOD FOR DISPATCH SCHEDULING OF MIXED FLEET COMPRISING ELECTRIC VEHICLES AND NON-ELECTRIC VEHICLES

Publication No.:  EP4818996A1 07/10/2026
Applicant: 
SIEMENS AG [DE]
Siemens Aktiengesellschaft
EP_4818996_PA

Absstract of: EP4818996A1

A computer-implemented method (300) and a system (100) for dispatch scheduling of a mixed fleet (10) comprising of electric vehicles (EVs) (12A-N) and non-electric vehicles (non-EVs) (14AN) are disclosed. The method includes receiving, by one or more processing units (108), vehicle parameters (102) related to travel range, and at least one of vehicle loading capacity or vehicle dimensions; and route parameters (104) concerning route distance and at least one of required vehicle loading capacity or required vehicle dimensions for the routes. A first schedule is determined (306) for the EVs (12A-N) for selected routes using a predefined optimisation model and constraints, and remaining routes are identified. A second schedule is determined (310) for the non-EVs (14A-N) by comparing corresponding vehicle parameters (102) against route parameters (104) of the said remaining routes. The schedules are then displayed (312) on an electronic display device (112) communicably connected to the processing units (108).

IDENTIFYING REPEATED ACTIVITY ZONES OF VEHICLES

Publication No.:  EP4819096A1 07/10/2026
Applicant: 
DEERE & CO [US]
Deere & Company
EP_4819096_PA

Absstract of: EP4819096A1

0001 A computing device obtains sensor data from multiple vehicles operating within a geographic region. The sensor data comprises operational telemetry data including at least one of a time-stamped geospatial coordinate, an environmental condition, a vehicle state, or an external machine state. The computing device determines, based on the sensor data, vehicle activity data values of the multiple vehicles, at least one vehicle activity data value of the vehicle activity data values comprising a vehicle type, a geographic location within the geographic region, or an activity type. The computing device determines, based on the vehicle activity data values, a geographic subregion of the geographic region in which the activity type is repeatedly performed over a time period. The computing device provides a graphical user interface indicating the geographic subregion. The graphical user interface is configured to allow user interaction for refinement of the geographic subregion.

CONDITIONAL OBJECT POSITION PREDICTION BY A MACHINE LEARNED MODEL

Publication No.:  EP4817044A1 07/10/2026
Applicant: 
ZOOX INC [US]
Zoox, Inc.
US_20250171016_PA

Absstract of: US20250171016A1

Techniques for predicting positions of objects in an environment are described herein. For example, the techniques may include clustering predicted object positions and using a representative target for one or more clusters to determine a predicted position of an autonomous vehicle. The clusters may vary in size, number of positions, etc. Object positions can be selected from one or more clusters for consideration during vehicle planning, which may include simulation.

DYNAMIC LANE MANAGEMENT SYSTEM

Publication No.:  EP4819092A1 07/10/2026
Applicant: 
MOVYON S P A [IT]
MOVYON S.p.A.
EP_4819092_PA

Absstract of: EP4819092A1

A dynamic lane management system in a multi-lane road section is disclosed, comprisinga plurality of detection sensors to detect transit vehicles,an IT infrastructure that transfers signals from said detection sensors to an area control room manned by operators, where said detection sensor signals are converted into graphical representations on display devices,a plurality of signalling apparatus placed in the vicinity of said road section to display the open/close condition of said dynamic lane, said signalling apparatus being controlled by said area control room on the basis of said graphic representations, whereinsaid plurality of sensors comprises at least first detection sensors, second verification sensors and third traffic sensors, and further comprising a central reporting system (src), arranged to process said signals of the first, second and third sensors and an area control room and a traffic management information system (sirt) of said graphical representations.

METHOD AND APPARATUS FOR TRAFFIC SIMULATION

Publication No.:  EP4819094A1 07/10/2026
Applicant: 
FUJITSU LTD [JP]
FUJITSU LIMITED
EP_4819094_PA

Absstract of: EP4819094A1

0001 A computer-implemented method for traffic simulation, the method comprising: accepting input of traffic data for a geographic area; executing a traffic simulation, wherein the traffic simulation comprises a main model configured to progress a traffic system through timesteps, and a sub model configured to perform an ancillary traffic simulation function for a later timestep using traffic data corresponding to an earlier timestep; and outputting a status of the traffic system.

FLEXIBLE TENSIONED CRASH BARRIER

Nº publicación: ES3080503T3 05/10/2026

Applicant:

ROBOS INTERNATIONAL LTD
Robos International Limited