Resumen de: WO2026207789A1
The present disclosure relates to the field of traffic signal processing. More specifically, the present disclosure relates to traffic signal control devices and electronic equipment for internal roads. It includes: an image acquisition module, configured for acquiring the road image information of the intersection; a control module, configured for receiving the road image information and determining the traffic volume of the intersection based on the road image information, and controlling the traffic lights of the intersection based on the traffic volume, wherein the traffic volume includes the traffic volume of manned vehicles and the traffic volume of unmanned vehicles.
Resumen de: WO2026208278A1
A scheduling method and apparatus for autonomous vehicles, and a device and a program product, which relate to the technical fields of cloud computing and autonomous driving. The method comprises: when there is a prohibited position on a pre-diversion path of a first autonomous vehicle, a cloud platform (210) receiving a first post-diversion path sent by a first vehicle-end platform; and the cloud platform (210) determining at least one conflict point where the first post-diversion path conflicts with travel paths of a plurality of autonomous vehicles, determining a yielding vehicle and a passing vehicle at each conflict point, and sending a control instruction to vehicle-end platforms of the yielding vehicle and the passing vehicle at each conflict point, such that the yielding vehicle stops before the conflict point.
Resumen de: WO2026211654A1
A video analysis device according to the present disclosure acquires a driving video including conditions in front of a target vehicle, and detects an important period, which is a period of importance, in the driving video. The important period is either a dangerous driving period, which is the period of a situation in which dangerous driving is being performed, or a caution-required period, which is the period of a situation in which it is likely that dangerous driving will be performed, or is both of these periods.
Resumen de: WO2026209320A1
The present invention relates to a device (1) for removing a material web (5) from a ground surface (2), in particular a device (1) for removing a thin-layer or thick-layer temporary road-marking film from a ground surface (2), preferably from a roadway, comprising a drivable pulling roller (10), a receiving device (30) for receiving the removed material web (5), and a tearing device (20), wherein the pulling roller (10) tears the material web (5) away from the ground surface (2) with a tensile force and at a tear angle (α) in a pulling direction (D), and wherein the tearing device (20) is designed to apply an oscillation to the tensile force and/or the tear angle (α).
Resumen de: WO2026210908A1
A remote control system for a work machine according to the present invention comprises a processor. The processor determines a work machine to be operated from among a plurality of work machines, transmits an operation signal for operating the determined work machine to be operated, receives a peripheral image of the work machine to be operated, generates recommendation data recommending operation of a second work machine when the work machine to be operated is a first work machine, and causes an output device to output the recommendation data.
Resumen de: WO2026208668A1
A method for traffic monitoring based on distributed acoustic sensing (DAS) comprises: receiving DAS data from an optical fiber deployed along a roadway having a plurality of lanes, the DAS data being representative of deformations induced by one or more vehicles on the plurality of lanes and obtained from the optical fiber using phase-sensitive optical time-domain reflectometry (φ-OTD); preprocessing the DAS data to generate preprocessed data; applying a deep learning network to the preprocessed data to generate a super-spatial-resolution (SSR) representation of the DAS data; and determining, based on the SSR representation, a specific lane occupied by at least one vehicle among the plurality of lanes by calculating a compression ratio of a width of a vehicle-induced signal in the SSR representation relative to a corresponding width in the preprocessed data, wherein the compression ratio is a function of a horizontal distance from the specific lane to the optical fiber.
Resumen de: WO2026211259A1
The present technology relates to an information processing device, an information processing method, and a program that make it possible to analyze a factor causing abandonment from content. An information processing device according to one aspect of the present technology analyzes a factor causing a user, who uses location content in which content corresponding to positional information is reproduced, to abandon the location content. The present technology can be applied to a system which provides location content that is ordered around touring a site.
Resumen de: WO2026210038A1
The invention relates to a ground anchoring device, in particular a solar-module ground anchoring device, for erecting solar modules (12a), comprising a fastening pile (28a; 28b) which comprises a ground anchoring portion (30a; 30b) intended to be introduced into an underlying surface (12a). According to the invention, the fastening pile (28a; 28b) comprises a plurality of fastening elements (40a, 42a, 44a, 46a, 48a, 50a, 52a, 54a, 56a; 40b, 42b, 44b, 46b, 48b, 50b) arranged at different heights in the ground anchoring portion (30a; 30b), and comprises at least one helical plate element (64a; 64b, 98b), which is intended to secure the fastening pile (28a; 28b) in the underlying surface (14a) and can be fastened to an outer side of the fastening pile (28a; 28b) frictionally and/or form-fittingly via at least one of the fastening elements (40a, 42a, 44a, 46a, 48a, 50a, 52a, 54a, 56a; 40b, 42b, 44b, 46b, 48b, 50b).
Resumen de: WO2026207652A1
A traffic flow processing method, a model output optimization method, and a related apparatus. In the traffic flow processing method, travel trajectories of a plurality of dynamic obstacles within a preset duration are acquired as inputs of a relationship extraction model, so that a following relationship matrix between dynamic obstacles among the plurality of dynamic obstacles is efficiently generated, thereby efficiently obtaining real-time traffic flow information on the basis of the relationship matrix.
Resumen de: WO2026210734A1
A processing apparatus according to the present disclosure has a first acquisition unit, a second acquisition unit, and a selection unit. The first acquisition unit acquires a movement route from the boarding position of a passenger to the destination of the passenger. The second acquisition unit acquires a planned travel route for each of a plurality of target vehicles. The selection unit selects at least one boarding vehicle on which a passenger is to board from among the plurality of target vehicles, on the basis of an overlapping portion between the planned travel route and the movement route.
Resumen de: WO2026207604A1
SIMPIA is an innovative system for monitoring road freight journeys that does not require on-board vehicle technology. Its main innovation consists in tracking and monitoring the route travelled using images captured by fixed and mobile cameras, combined with the integration of data from external sources, such as electronic tax documents and traffic information. This approach provides a comprehensive, real-time view of the logistics operation, enabling the detection of anomalies, route optimisation and analysis of freight flows, without relying on equipment installed in the vehicles. Additionally, SIMPIA estimates CO2 emissions from the journeys, providing valuable data for environmental impact analysis. Thus, SIMPIA provides a scalable, autonomous and low-cost solution for transport operators, insurers and government authorities, offering monitoring, visibility, security and efficiency in supply chain and transport management.
Resumen de: 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.
Resumen de: 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.
Resumen de: 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).
Resumen de: 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.
Resumen de: 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.
Resumen de: 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.
Resumen de: WO2026205591A1
A remote operation assistance method is executed by a remote operation assistance system (S) comprising an end device (10) that is mounted on a target object and a control terminal (20) that remotely operates the target object. The end device generates a composite video from at least one camera video obtained by imaging the periphery of the target object by using at least one camera, on the basis of setting information. The end device (10) sends the composite video to the control terminal (20). The control terminal receives the composite video. The control terminal divides the composite video into a plurality of divided videos on the basis of the setting information. An assistance video based on the plurality of divided videos is displayed.
Resumen de: WO2026203644A1
In order to reduce network load, thereby improving productivity, a vehicle control system according to the present invention is provided with: wireless terminals that are installed in a plurality of vehicles individually and that are capable of communicating with a base station; and a control server device that communicates with the wireless terminals via the base station. The control server device is provided with: a vehicle position monitoring unit that calculates and monitors the positions of the plurality of vehicles on the basis of position information of the plurality of vehicles, the position information being transmitted from the wireless terminals via the base station by using a first communication link; an area information recording unit having recorded therein information concerning a prescribed area in which the vehicles may stop; and a transmission/reception control unit that, when it is determined that at least one of the plurality of vehicles for which calculation has been performed by the vehicle position monitoring unit is stopped in the prescribed area recorded in the area information recording unit, transmits and receives environment information around the plurality of vehicles and vehicle body state information of the plurality of vehicles to and from a wireless terminal of the at least one vehicle stopped in the prescribed area by using a second communication link.
Resumen de: WO2026203597A1
This information processing device comprises a processor. The processor acquires tire-related information including internal pressure values of a plurality of tires on a vehicle, and estimates that the vehicle has ridden over an obstacle on the basis of fluctuations in the internal pressure values of one tire and another tire among the internal pressure values of the plurality of tires included in the tire-related information.
Resumen de: WO2026199036A1
The present invention provides a temporary fence support for supporting one or more partitions or fence portions. The temporary fence support comprising a base unit, a coupling structure, attached to the base unit, for receiving one or more partitions or fence portions to be supported, and one or more openings formed in the base unit, wherein the one or more openings are configured to receive one or more fastening elements.
Resumen de: WO2026203656A1
A vehicle driving skill determination system (10) comprises: a travel information acquisition unit (30) that acquires travel information of a vehicle (L); a history information acquisition unit (32) that acquires history information from travel information acquired in the past; and a driving skill determination unit (34) that determines the driving skill of a driver of the vehicle (L). The travel information includes the radius (R) of a curved portion (U) included in a travel path (Y) along which the vehicle (L) travels, and a speed (V) of the vehicle (L) traveling along the curved portion (U). The driving skill determination unit (34) determines the driving skill on the basis of a matching degree (C) of the speed (V) included in the history information of the speed (V) corresponding to the radius (R).
Resumen de: WO2026204404A1
This control device (20), which receives an input of point cloud data output from a LiDAR device (10) that measures a detection region (DR) including a first road (61), includes: a frame setting unit (21) that sets three or more frames (71-77) arranged along the extension direction of the first road (61) on the first road (61); a partition unit (22) that partitions the inside of the frames (71-77) into a plurality of cells (C); and an output unit (27) that outputs a predetermined signal when frames in a predetermined state in which the amount of cells (C) in which points indicating a predetermined height or more in the point cloud data are located is equal to or greater than a threshold value are adjacent to each other.
Nº publicación: EP4814918A1 30/09/2026
Solicitante:
ZHEJIANG GEELY HOLDING GROUP CO LTD [CN]
GEELY AUTOMOBILE RESEARCH INST NINGBO CO LTD [CN]
Zhejiang Geely Holding Group Co., Ltd.
Geely Automobile Research Institute (Ningbo) Co., Ltd.
Resumen de: EP4814918A1
An intelligent driving risk warning method, an apparatus, an electronic device, and a storage medium. The intelligent driving risk warning method is applied to a first vehicle and includes: in response to determining that the first vehicle is in an intelligent driving state, acquiring vehicle driving information (S10); in response to determining that the vehicle driving information satisfies a preset potential risk condition, performing risk data detection (S20); and in response to determining, by performing risk assessment based on risk data through a preset risk assessment model, that the first vehicle has an intelligent driving risk, outputting intelligent driving risk warning information (S30).