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51
results.
Updated on
29/08/2025 [07:01:00]
Results 25 to 50 of 51
Absstract of: WO2025164397A1
A processing device according to the present disclosure comprises an acquisition unit, a first estimation unit, a second estimation unit, and an output unit. The acquisition unit acquires a moving image generated by means of a fixed point camera. The first estimation unit estimates a lane region by using a first method, on the basis of the moving image. The second estimation unit estimates a lane region by using a second method different from the first method, on the basis of a moving image accumulated further after the lane region is estimated by using the first method. The output unit outputs information indicating the lane region estimated by using the first method, and then outputs information indicating the lane region estimated by using the second method.
Absstract of: WO2025163900A1
The purpose of the present invention is to provide a waiting time (estimated standby time) for a vehicle waiting in a waiting vehicle queue occurring in a specific lane on a road. This calculation system comprises: a detection unit that, on the basis of information about a first area set in front of a specific point, detects the leading vehicle in a queue of waiting vehicles heading to the specific point; a first calculation unit that calculates the travel time required for the leading vehicle to pass the specific point, on the basis of the movement of the leading vehicle; a vehicle counting unit that detects vehicles that have entered a second area serving as a waiting place for following vehicles that follow the leading vehicle, and thereby counts the number of following vehicles that follow the leading vehicle; and a second calculation unit that calculates an estimated waiting time for a vehicle when the vehicle newly joins the queue of waiting vehicles, on the basis of said travel time and the number of following vehicles.
Absstract of: WO2025164395A1
A processing device according to the present disclosure comprises: an acquisition unit that acquires vehicle trajectory data or position data measured by a fixed-point sensor; and an estimation unit that estimates a lane region on the basis of the trajectory data or the position data.
Absstract of: WO2025163708A1
This information processing system comprises: an on-board device comprising a position information acquisition unit for acquiring position information and a communication unit for performing wireless communication; a communication apparatus for performing wireless communication with the on-board device; and a processing apparatus for processing information received from the on-board device. The communication apparatus transmits determination information for determining a communication range, and, when the on-board device is located within the communication range based on the determination information received from the communication apparatus, the on-board device periodically transmits probe data including identification information and the position information to the communication apparatus.
Absstract of: WO2025160625A1
A portion of the movable median (100) moves orthogonally to the road, the median (100) including modules (300, 400, 500) including: a driven module (300) to move the movable median (100) between first and second positions. A module (300, 400, 500) includes a module structure (110) having: hollow beams (112) extending longitudinally along the module axis (302,402,502) and a plurality of sleepers (114) extending below the plurality of hollow beams (112), at least one sleeper connecting and supporting the hollow beams. The driven module includes a motor and a lifting frame, the lifting frame having: a drive wheel, rotatable about a drive wheel axis, an actuator for moving the lifting frame between a driving position and a lifted position, wherein the drive wheel is lifted from the road. In the driving position, the drive wheel is pressed against the road such that the driven module is lifted.
Absstract of: WO2025164010A1
A center device (2) creates a plurality of trigger conditions for detecting a predetermined scene at a vehicle, creates a plurality of collection data lists respectively corresponding to the plurality of trigger conditions, causes the plurality of trigger conditions and the plurality of collection data lists to be distributed to a vehicle device, and acquires collection data indicated by the collection data lists from the vehicle device. The vehicle device (4) performs a plurality of trigger condition determinations based on detection data by switching therebetween, the plurality of trigger condition determinations being performed simultaneously using the plurality of respective trigger conditions, creates a plurality of items of collection data on the basis of respective determination results of the plurality of trigger condition determinations, and causes the plurality of items of collection data to be transmitted to the center device.
Absstract of: WO2025164008A1
A center device (2) is provided with: a necessary data setting unit (6a) that sets necessary data; a collection target selection unit (6b) that selects an electronic device to be a data collection target corresponding to the necessary data; a collection data list distribution unit (6c) that causes a collection data list, which indicates collection data to be collected from the electronic device being the data collection target, to be distributed to the electronic device being the data collection target; a data collection unit (6d) that collects, from the electronic device being the data collection target, the collection data that is acquired by the electronic device being the data collection target on the basis of the collection data list; and a data storage unit (6e) that stores the collection data.
Absstract of: WO2025164011A1
A center device (2) is configured to: create trigger conditions for detecting a predetermined scene on a vehicle side; create a machine learning model; create a collection data list corresponding to the trigger conditions; distribute the trigger conditions, the machine learning model, and the collection data list to an on-vehicle device; and acquire collection data indicated by the collection data list from the on-vehicle device. The on-vehicle device (4) performs trigger condition determination on the basis of an execution result of the machine learning model based on detection data, creates collection data on the basis of the determination result of the trigger condition determination, and transmits the collection data to the center device.
Absstract of: WO2025164498A1
A system (1) comprises an out-of-vehicle system (3) and a vehicle (5). The out-of-vehicle system comprises a model generating unit (7) and an out-of-vehicle system-side storage unit (9). The vehicle comprises: a model downloading unit (21); a download possibility determining unit (23) that determines whether download data (13) can be downloaded; and a download processing unit (25) that downloads the download data from the out-of-vehicle system to the vehicle if it is determined that the download data can be downloaded.
Absstract of: EP4597469A1
Provided are a parking space recognition method, apparatus, and device and a storage medium. The method includes acquiring (S110) real-time parking lot information of a target parking lot and historical parking lot information of the target parking lot; determining (S120) target parking space confidence based on real-time parking space data in the real-time parking lot information and historical parking space data in the historical parking lot information; and determining (S130) a parking space corresponding to the target parking space confidence satisfying a preset condition as a target parking space, where the preset condition includes that the target parking space confidence is greater than or equal to a preset threshold.
Absstract of: EP4596753A1
A cut-and-processed product of a Zn-Al-Mg-based plated steel material including a base steel material and a Zn-Al-Mg-based plating layer covering a surface of the base steel material, in which a cut end surface of the cut-and-processed product is covered with a linear film in which a component of the Zn-Al-Mg-based plating layer linearly flows, and a coverage of the cut end surface with the linear film is from 60 to 90%, a non-plated surface of the base steel material and the linear film around the non-plated surface, in the cut end surface of the cut-and-processed product, are covered with a repair coat, an initial coat resistivity is from 10 to 1000 Ω/cm<2> and a coat resistivity after immersion of the cut-and-processed product in 5% by mass salt water for 3 hours is from 5 to 50 Ω/cm<2>, in the repair coat, and a thickness of the repair coat is from 10 to 100 µm, as well as a guardrail utilizing the cut-and-processed product.
Absstract of: EP4596752A1
A cut-and-processed product of a Zn-Al-Mg-based plated steel material including a base steel material and a Zn-Al-Mg-based plating layer covering a surface of the base steel material, in which a cut end surface of the cut-and-processed product is covered with the Zn-Al-Mg-based plating layer at a coverage of from 50 to 99% with respect to the cut end surface, a non-plated surface of the base steel material and the Zn-Al-Mg-based plating layer around the non-plated surface, in the cut end surface of the cut-and-processed product, are covered with a repair coat, an initial coat resistivity is from 10 to 1000 Ω/cm<2> and a coat resistivity after immersion of the cut-and-processed product in 5% by mass salt water for 3 hours is from 5 to 50 Ω/cm<2>, in the repair coat, and a thickness of the repair coat is 10 µm or more, as well as a guardrail utilizing the cut-and-processed product.
Absstract of: EP4597468A1
Provided are an information processing device, a driving assistance system, and an information processing method capable of extracting driving experience information enabling automatic driving from driving data at a minimum cost or the like, distributing the driving experience information extracted in accordance with a traveling environment and a traveling condition of a vehicle, and providing driving assistance with high comfort and high availability. A server 1 distributes, to the vehicle, driving experience information of a cost that is minimum among costs of a plurality of driving behaviors calculated from driving data of a plurality of vehicles in a travel section and a traveling condition, thereby reducing cancellation of automatic driving.
Absstract of: WO2025158140A1
A collapsible terminal (100) for a road barrier. The collapsible terminal (100) comprises first and second sheets of material (112a, 112b), interlocking at a plurality of interlocking points (118a-c) and shaped to form at least one collapsible cell (102a-d), the at least one collapsible cell (102a-d) arranged along a longitudinal axis (103) of the collapsible terminal (100) and being at least partly defined by one or more of the plurality of interlocking points (118a-c). The first and second sheets of material (112a, 112b) are configured to rotate with respect to one another about at least one of the plurality of interlocking points (118a-c) under impact from a vehicle such that the at least one collapsible cell (102a-d) deforms to absorb energy of the impact.
Absstract of: WO2025158587A1
A communication system (100) comprises: a vehicle (110); a roadside device (130) disposed along a road on which the vehicle (110) travels; and a server-side system (150) that predicts the communication quality of a communication path from a V2X application server (152), which provides V2X service to the vehicle (110), to the roadside device (130). The roadside device (130) sequentially transmits a prediction request, prediction information, and position information indicating the position of the roadside device (130) to the server-side system (150) at predetermined time intervals. Each time the server-side system (150) receives the prediction request, the server-side system (150) predicts the communication quality using the prediction information and the position information indicating the position of the roadside device (130), and sequentially transmits the prediction results to the roadside device (130). The roadside device (130) sequentially stores the prediction results, and transmits the stored latest prediction result to the vehicle (110) upon receiving a prediction request from the vehicle (110).
Absstract of: WO2025158535A1
This external environment recognition device is provided with: a travel road surface estimation unit that estimates the travel road surface on which a host vehicle is traveling from sensing results output from in-vehicle sensing equipment; a surrounding environment height estimation unit that estimates height information of the surrounding environment, including travel roads and road edges, from the sensing results and the travel road surface estimation results; a road edge boundary position estimation unit that estimates a road edge boundary position on the basis of the sensing results, the travel road surface estimation results, and the height information of the surrounding environment; a road edge boundary position left/right side height extraction unit that extracts height information of the travel road side and the road edge side to the left and right of the estimated road edge boundary position from the height information of the surrounding environment; and a puddle boundary position estimation unit that searches travel roads that are closer to the host vehicle than to the estimated road edge boundary position, and estimates puddle boundary positions of puddles on the travel roads on the basis of the height information.
Absstract of: WO2025156794A1
An early warning method, apparatus and system, a computing device, and a storage medium, relating to the technical field of image processing. The method comprises: acquiring position information of an unmanned aerial vehicle; on the basis of the position information, acquiring a scene video collected by the unmanned aerial vehicle in the flying process; and performing early warning identification on the scene video to obtain an identification result of the scene video, and performing early warning on the basis of the identification result. In this way, on the basis of the position of the unmanned aerial vehicle, a vehicle end uses different methods to acquire the scene video collected by the unmanned aerial vehicle, so that the scene video can be acquired regardless of whether the vehicle end and the unmanned aerial vehicle can communicate or not, avoiding the situation that early warning cannot be performed when communication cannot be performed; and the road condition in front of the vehicle is early warned by identifying the scene video, improving timeliness and comprehensiveness of early warning, thus improving driving safety.
Absstract of: WO2025159110A1
This information processing system: acquires, from a camera mounted on a vehicle, images indicating a road comprising a roadway and a sidewalk adjacent to the roadway (S1, S2); acquires vehicle position information indicating the position of the vehicle and shooting direction information indicating the shooting direction of the camera (S1, S2); determines sidewalk position information indicating the position of the sidewalk on the basis of at least the vehicle position information and the shooting direction information (S3); determines a safety level of the sidewalk on the basis of the images and an image recognition model (S6); and generates sidewalk data including sidewalk safety level information indicating the safety level of the sidewalk, and the sidewalk position information (S9).
Absstract of: EP4592453A1
A shock-resistant device (100; 100') comprises a main body (1; 1') which has an elongate form, is internally hollow and delimited by an external surface (S; S') and extends along a longitudinal axis (X; X'). The shock-resistant device further comprises a base portion (2) which is intended to be anchored to the ground in order to fix the shock-resistant device (100; 100') to the ground. The base portion (2; 2') has a cross-section (D2; D'2) which is greater than the cross-section (D1; D'2) of the main body (1; 1') in order to increase the stability on the ground of the shock-resistant device (100; 100'). The main body (1; 1') and the base portion (2; 2') are made from plastics material having a flexural modulus of elasticity between approximately 0.4 and approximately 1.5 GPa. The main body (1; 1') and the base portion (2; 2') are made in a single piece in order to increase the resistance to impacts of the shock-resistant device.
Absstract of: WO2024150165A1
A protection netting for civil works comprises metal wires which have high strength and which have a protective plastics coating, the netting is of the double-twist or triple-twist type with hexagonal mesh, and wherein the wires are steel wires with a tensile strength between 550 and 1350 MPa.
Absstract of: AU2023347084A1
Described herein in is an acoustic system and method for tracking and identifying trends or behavioural characteristics or properties of multiple sound producing targets or objects across a geographical area. The method and system may be used independently of or as a supplement to bespoke tracking technology associated with such objects or targets. The acoustic method includes repeatedly transmitting, at multiple instants, interrogating optical signals into each of one or more optical fibres distributed across the geographical area and forming at least part of an installed fibre- optic communications network. Next the method includes receiving, during an observation period following each of the multiple instants, returning optical signals scattered in a distributed manner over distance along the one or more of optical fibres, the scattering influenced by acoustic disturbances caused by the multiple objects within the observation period. The acoustic data is then demodulated from the optical signals and the acoustic data is processed to identify tracks made by the objects over a period of time across the area. Further, one or more characteristics of the tracks or tracked features, including start and end points, are analysed to identify relationship links between the dynamic objects and their locations or between the dynamic objects and other static or dynamic objects or fixtures or events in the geographic area for real time, historic or predictive analysis.
Absstract of: EP4592984A1
An information processing method for use in an information processing device includes acquiring remote operation information about remote operation on a first mobile body that requires remote operation among mobile bodies (M1 to Mm) each capable of traveling autonomously and capable of being remotely operated (S104), acquiring mobile body information about one or more second mobile bodies other than the first mobile body, the one or more second mobile bodies being remotely monitored by a monitor who is in charge of remote monitoring of the first mobile body among the mobile bodies (M1 to Mm) (S101), determining, based on the remote operation information and the mobile body information, whether to allow the monitor to perform remote operation on the first mobile body (S106), and giving notification based on the result of the determination as to whether to allow the monitor to perform remote operation on the first mobile body (S108).
Absstract of: EP4592985A1
Confirmation and input of information regarding automatic operation of a working machine can be easily done. An automatic operation information processing device 20 is connected to a working machine 10 capable of performing automatic operation, in a communicable manner. The automatic operation information processing device 20 includes a display unit 23o and an input unit 23i. The display unit 23o is configured to display information related to automatic operation. The input unit 23i receives information related to automatic operation in response to an operation by the operator.
Nº publicación: EP4591251A1 30/07/2025
Applicant:
VOLVO TRUCK CORP [SE]
VOLVO TRUCK CORPORATION
Absstract of: WO2024061446A1
A method of controlling operation of a fleet of vehicles comprising a plurality of vehicles. The method comprises acquiring first sensor data from a plurality of first sensors of a first vehicle, and second sensor data from a plurality of second sensors of a second vehicle; processing the first sensor data using a first vehicle dynamics model to estimate at least one first vehicle operating cost parameter value related to operation of the first vehicle; processing the second sensor data using a second vehicle dynamics model to estimate at least one second vehicle operating cost parameter value related to operation of the second vehicle; processing the first and second vehicle operating cost parameter values using a reinforcement learning model to estimate a fleet operating cost parameter value; and determining a recommended component redistribution of the first vehicle to the second vehicle to optimize the estimated fleet operating cost parameter value.
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