1672results about "Maps/plans/charts" patented technology

To provide an information processing device, an information processing method and a program that can visualize resident's needs to move and actual service conditions of public transportation.SOLUTION: An information processing device 100 comprises: a traffic data storage unit 132 which stores information on stops of public transportation; a movement data storage unit 133 which stores movement data including places of departure, routes and destinations; a reception unit 124 which receives visualization conditions; a totaling unit 125 which totals, for each of mesh sections of a map, departure / arrival counts of the movement data extracted from the movement data storage unit by the use of visualization conditions; and an output unit 126 which outputs a visualized map including stops, and outputs one or more mesh sections in different display modes according to departure / arrival counts.SELECTED DRAWING: Figure 1

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, are described for implementing a mission space platform. The platform is configured to identify radio frequency (RF) signals and analytics and generate a graphical interface with a map of a geographic area, where the map includes multiple grid points. For one or more RF signals: the platform determines a respective geolocation of an emitter that emits the RF signal and assigns the RF signal and its corresponding emitter to a grid point of the map based on the respective geolocation. Visual characteristics of grid points in the map are dynamically adjusted, in real time, base on new RF information about the area. The new RF information is provided as an output at the interface by displaying adjustments to the visual characteristics of the grid points.

A system for generating live sonar images is provided having a first and second sonar transducer assembly. The sonar transducer assemblies each have sonar transducer elements configured to transmit sonar beam(s) into an underwater environment to form respective coverage volumes. The sonar transducer assemblies each define a respective facing direction. The system includes bracket(s) having alignment feature(s). The bracket(s) are configured to mount the sonar transducer assemblies to a watercraft, and the alignment feature(s) are configured to position the sonar transducer assemblies so that the facing directions are different and relative to each other so as to create continuous coverage of the underwater environment. Continuous coverage has an overall coverage volume that is greater than either of the coverage volumes individually. Sonar return data from the sonar transducer elements is used to form a live sonar image representative of sonar returns received from the overall coverage volume.

The invention discloses a method for generating a railway optical cable path diagram, which comprises the following steps of: S1, inputting data, more specifically, inputting the data into an optical cable path data center so as to process the data; s2, data preprocessing: more specifically, preprocessing the input data so as to facilitate data conversion; s3, coordinate calculation / deformation conversion: more specifically, converting the related position data into coordinate positions; s4, generating a station yard optical cable path diagram, and more specifically, displaying the processed data in a drawing manner; and S5, planar graph output, more specifically, the drawings are output in different formats. According to the method, the drawing work of the optical cable path diagram can be greatly reduced, and the corresponding optical cable path diagram can be output only by inputting the collected data into the generation software realized by adopting the method.

The invention provides a laser confrontation war chess deduction system and a laser confrontation war chess deduction method in order to solve the problem that an existing war chess deduction system or method is insufficient in laser confrontation low-slow-small target evaluation capability. The laser adversarial war chess deduction system is structurally arranged according to a turn-system war chess deduction simulation strategy and comprises a deduction map, a laser adversarial war chess deduction simulation strategy, a laser adversarial war chess deduction simulation strategy and a laser adversarial war chess deduction simulation strategy, the deduction map comprises an atmospheric visibility mark, a deduction round recording track and an atmospheric turbulence recording track corresponding to each deduction round; and the deduction operator is used for simulating the military strength, the equipment and the confrontation state of different confrontation units in the confrontation of the low-slow-speed small target by the laser system, and comprises a military strength unit operator, an equipment operator and a marking operator, and the military strength unit operator comprises a laser system unit. According to the war game deduction system and the corresponding war game deduction method, the particularity of the war game deduction in a novel laser confrontation pattern and the difference between the war game deduction and the traditional direct firepower confrontation deduction are highlighted.

A map generation apparatus includes an in-vehicle detector and a microprocessor. The microprocessor is configured to perform: recognizing an exterior environment situation around a subject vehicle by using a detection data of the in-vehicle detector, generating a map including position information of a predetermined feature based on recognition information acquired in the recognizing; calculating a reliability of the generated map, for each piece of position information; storing the map and reliability information indicating the reliability as map information; and updating, when at least a part of a new map newly generated in the generating is included in the existing map, data of a corresponding section of the existing map corresponding to a generation section of the new map based on data and the reliability of the new map in the generation section and data and the reliability of the existing map in the corresponding section.

A position estimation unit 25 estimates, for each movement in a predetermined section, a plurality of position candidates of a position estimation target on the basis of position information and sensor information. A position determination unit 26 evaluates, for each movement in the predetermined section, on the basis of the plurality of position candidates of the position estimation target obtained by the movement in the predetermined section, whether the position information used to estimate the position candidates has an error caused by any of a position of a GPS satellite, a position of a mobile body in a real space, or the mobile body or does not have any error caused thereby. The position determination unit 26 determines a final output value of the position of the position estimation target on the basis of a result obtained by removing, from the plurality of estimated position candidates of the position estimation target in the plurality of times of the movement in the predetermined section, a position candidate of the position estimation target estimated in the movement in the predetermined section that has been evaluated to have the error.

A method and an apparatus for constructing hierarchical semantic map based on deep-learning based perception, a server, a storage medium are provided. The method includes: obtaining 3D point cloud data, scene images and motion state data; projecting 3D point cloud data onto an image plane to obtain a depth image; performing a point cloud registration and a pose prediction on the 3D point cloud data and the motion state data to obtain an odometer pose; generating a point cloud map according to the 3D point cloud data and the odometer pose of multi-sensor system; based on the depth image and the odometer pose of the multi-sensor system, performing an external ellipse fitting process on each semantic region in the depth image to obtain an object-enveloped map for respective object images; fusing the coordinately aligned point cloud map and object-enveloped map into a semantic map.

A vehicle routing system includes a vehicle routing and analytics (VRA) computing device, one or more databases, and one or more vehicles communicatively coupled to the VRA computing device. The VRA computing device is configured to generate an optimal route for a vehicle to travel that maximizes potential revenue for operation of the vehicle, the optimal route including a schedule of a plurality of tasks, and generate analytics associated with operation of the vehicle. The VRA computing device is further configured to provide a management hub software application accessible by vehicle users associated with vehicles, tasks sources, and other users.

A vehicle traveling information analysis device comprises: a reception unit that receives, from a plurality of vehicles, traveling information which includes location information and time information; a traveling information recording unit that stores, in a traveling information storage unit, the traveling information received from the reception unit together with identification information of vehicles; an analysis condition input unit that accepts, from a user, designation of an analysis condition which includes information pertaining to an analysis target road; an extraction region setting unit that sets extraction regions each having a predetermined area to a respective plurality of locations on a road map on the basis of the designated analysis condition; and a vehicle identification information extraction unit that extracts identification information of a vehicle having a record of traveling information in all the extraction regions which have been respectively set to the plurality of locations on the road map.

A map generation device includes an information acquisition unit that acquires positional information on a specific vehicle and positional information on a surrounding vehicle that is positioned around the specific vehicle from on-board devices that are arranged respectively on the specific vehicle and the surrounding vehicle, respectively; a distance calculator that calculates a distance between the specific vehicle and the surrounding vehicle based on the positional information on the specific vehicle and the positional information on the surrounding vehicle; an integration area setting unit that sets an integration area of integration into a map based on a result of calculating the distance and an area of detection by the specific vehicle; and a map integration unit that integrates the positional information on the surrounding object that is acquired from the on-board device in the integration area into a map.

To provide an altitude difference drawing creation device capable of creating an altitude difference drawing in which an altitude difference from the periphery of a road is expressed by considering a change of respective road altitude on both sides of the road.SOLUTION: Provided is an altitude difference drawing creation device characterized by comprising: a division unit 10 for dividing a road in map information into sections in the longitudinal direction; a stripe region setting unit 12 for setting a stripe region extending in the transverse direction of a target road in a section; a difference value calculation unit 14 for calculating, for each section, a difference value between the altitude value of a discretionary position in the stripe region and the altitude value of the target road in the section; and a display control unit 16 for displaying an altitude difference drawing in a manner corresponding to the calculated difference value.SELECTED DRAWING: Figure 1

To provide an information processing system, an information processing apparatus, a program, and an information processing method capable of generating map information that a user needs.SOLUTION: An information processing system executes: an input information receiving process to receive input information input by a user; a program generation process to autonomously generate a program which generates content including geographical information in association with map information including a map and geographical objects to be displayed on the map, based on the input information received by the input information receiving process; and a content generation process to generate content based on the program generated by the program generation process.SELECTED DRAWING: Figure 1

Provided is a map information processing device which contributes to the improvement of high-precision map verification performance by generating road information at a traffic lane level for a verification purpose by functioning as a means for extracting a road area corresponding to a road and a demarcation line corresponding to a traffic lane from an aerial image (for example, a ground photo photographed from an aircraft or a satellite), inferring the position of an object / structure (occlusion) which may cover the road, determining whether or not the demarcation line in the vicinity of the occlusion forms a continuous line by using the inferred occlusion position and demarcation line information, and next determining whether or not the traffic lane in the vicinity of the occlusion has continuity such that a misunderstanding about the continuity of the road when the presence of no occlusion is possible can be avoided to suppress the inclusion of incorrect information. This device generates traffic lane information which can be also used to generate appropriate traffic lane information for an area for which road information cannot be extracted due to an occlusion by using a satellite image / aerial photo for a map information verification purpose.

A data generation device includes a data generation unit configured to generate data. The data generation unit is further configured to generate, as the data, traffic light identification data including lane information for identifying a lane in which a vehicle is traveling, traffic light information for identifying a plurality of traffic lights installed at an intersection to which the lane is connected, and confidence information indicating a degree of confidence set for each of the plurality of traffic lights. The traffic light identification data has a data structure that allows the traffic light that should be trusted to be identified based on the degrees of confidence set for the plurality of traffic lights depending on the lane in which the vehicle is traveling.

Described is a system for feeding pet avatars by accessing a particular geographic location for a first user; accessing map data for the particular geographic location; identifying that a pet avatar for a second user is associated with the particular geographic location; causing display, on a first computing device of the first user, of: the particular geographic location using the map data; the pet avatar; and an interface element configured to feed the pet avatar; receiving a user selection of the interface element from the first user; causing display, on the first computing device for the first user, of an indication of the pet avatar being fed corresponding to the interface element; and transmitting a notification to a second computing device of the second user including an indication that the pet avatar is being fed corresponding to the interface element.

This invention pertains to a golf guidebook, either physical or electronic, that incorporates golf-related data specific to a selected golf course. The data is computationally derived from sensor information, captured by an unmanned aerial vehicle flown above the course. The guidebook provides high-resolution imagery, distance mark-ups, and elevation deltas for individual golf holes. It may also feature putting-green maps with contour lines, interactive user-input fields, and synchronization capabilities with a mobile application for performance tracking. Additional features may include reusable or replaceable pages, environmental resistance, and an inverted color scheme for enhanced visibility in direct sunlight.

The present application provides a method for processing a motion mode and a wearable device. The method is applied to the wearable device and includes: after receiving a first instruction, determining whether the wearable device has loaded map data of a first sports venue, where the first instruction is used to instruct the user to perform a target motion, and the first sports venue is the sports venue where the user is located when performing the target motion; after determining that the wearable device has loaded the map data of the first sports venue, obtaining motion data and positioning data, where the motion data is used to characterize the motion characteristics of the user when performing the target motion, and the positioning data is used to characterize the motion position of the user when performing the target motion and the location of the wearable device; based on the motion data, the positioning data, and the map data of the first sports venue, displaying statistical data of the user performing the target motion. Thereby, it helps to guide the user to conduct a review and analysis of the target motion, and is beneficial for the user to understand their own exercise habits, exercise conditions, and the stability of their own performance, etc.

A method for separating avionics charts into a plurality of display panels is disclosed. The method may include receiving chart data for a virtual avionics chart. The method may include determining whether the received chart data exceeds a predetermined threshold. The method may include generating a plurality of display panels if the received chart data exceeds the predetermined threshold. The method may include determining one or more buffer lengths for the generated plurality of display panels. The method may include generating a plurality of output files based on the generated plurality of display panels and the determined one or more buffer lengths.

An end-to-end system for data generation, map creation using the generated data, and localization onto the created map is disclosed. Map streams—or streams of sensor data, sensory output from deep neural networks (DNNs), and / or relative trajectory data—corresponding to any number of drives by any number of vehicles can be generated and uploaded to the cloud. The map streams can be used to generate map data—and ultimately a fused high-definition (HD) map—representing the data generated across multiple drives. When localizing onto the fused HD map, individual localization results can be generated based on a comparison of real-time data from one sensor modality with map data corresponding to that sensor modality. This process can be repeated for any number of sensor modalities, and the results can be fused together to determine a final fused localization result.

A portable video display device includes a sensor that detects a position and a direction of a user, a trajectory information acquisition unit that acquires information of a migration trajectory of the user; a storage unit that stores trajectory information of the user and information of an avatar, and a display unit that displays the migration trajectory of the user with the avatar. A control unit generates an avatar, calculates a current visual field area of the user using the sensor, and displays the avatar on the display unit so as to be disposed in the migration trajectory of the user according to the current visual field area of the user based on the trajectory information of the user stored in the storage unit. When the avatar is moved along the migration trajectory of the user, the avatar is moved from new trajectory information to old trajectory information in time.

The invention discloses a map layer data processing method and system based on generation of GIS coordinates. The method comprises the steps that an API service calling request from a user side is received; calling an API (Application Program Interface) based on a data type requested to be called and a service demand, querying layer data recorded in a database, and executing transmission of the layer data; wherein the API comprises an API uplink interface and an API downlink interface; receiving an API service calling request of a user side through an API uplink interface, and querying and recording layer data in the calling process; uploading layer data recorded in the database to a map tool service through an API downlink interface, creating and initializing a map tool object, and calling a render function in the map tool object to draw a map layer; automatically generating map layer data and displaying the map layer data on an interactive interface; and outputting a map picture in a target format based on the label data and the style of the map layer set by the user side through the interface. According to the scheme, user requirements can be quickly responded, and the map picture generation efficiency is improved.

An information processing method acquires input data including a current location of an electric moving body, a background map indicating an area around the current location, a location list in which names of a plurality of locations are registered, and possibilities of arrival from the current location to each location included in the location list; changing the display mode of characters representing the name of each place according to the arrival possibility; and outputting, on the basis of the display mode, a superimposed map obtained by superimposing characters indicating the name of each location on the background map.

Techniques are disclosed for collaborative map construction using multiple vehicles. Such a system may include a ground vehicle including a first computing device and a first scanning sensor, and an aerial vehicle including a second computing device and a second scanning sensor. The ground vehicle can obtain a first real-time map based on first scanning data using the first scanning sensor, and transmit a first real-time map and position information to the aerial vehicle. The aerial vehicle can receive the first real-time map and the position information from the first computing device, obtain a second real-time map based on second scanning data collected using the second scanning sensor, and obtain a third real-time map based on the first real-time map and the second real-time map.

To provide a road edge height application apparatus which can apply the road edge height by extracting height information on a road surface in order to solve a problem of the conventional technique.SOLUTION: A road edge height application apparatus according to the prevent invention comprises: three-dimensional terrain model storage means; road edge model storage means; region of interest setting means; target statistical value setting means; and road edge height calculation means. The target statistical value setting means is means for setting a target statistical value. The road edge height calculation means is means for calculating height information related to an interest constitution point equivalent to the target statistical value in the interest constitution points that belong to the region of interest arranged in a three-dimensional terrain model as the road edge height. The road edge height application apparatus applies the road edge height to an interest reference point corresponding to the region of interest.SELECTED DRAWING: Figure 9

To provide a flight service system capable of meeting many needs in a single flight in a flight service using an aircraft.SOLUTION: In the flight service system, a management system 100 holds information on an observation request in an observation request database 200 requested from a client other than a user of a flight service. The observation request includes an observation point designated by a requester. A flight route of an object aircraft 10 on which a user U boards is generated to pass through the observation point.SELECTED DRAWING: Figure 3

Example systems and methods for configuring machine learning models to generate geometric models are provided. An example method involves obtaining geometric modelling data comprising sequences of geometric modelling operations, and training the machine learning model on the geometric modelling data to generate geometric models encoded as tokenized representations of sequences of geometric modelling operations to be performed to build the geometric models, wherein the machine learning model is trained to generate the geometric models in accordance with learned geometric modelling practices extracted from the geometric modelling data.

[Problem] To improve a map update function for a driving control assistance system of a vehicle. [Solution] A driving control assistance system 1 of a vehicle 2 comprises: a plurality of assistance server devices 5, 7 that, on the basis of respective items of high-precision map data 67, generate information for assisting with driving control of the vehicle 2, and that transmit said information to the vehicle 2; and a map update server device 8 for updating the plurality of items of high-precision map data 67 recorded in the plurality of assistance server devices 5, 7. The plurality of items of high-precision map data 67 recorded in the plurality of assistance server devices 5, 7 include narrow-area high-precision map data 82 recorded in a lower-level assistance server device 5, and wide-area high-precision map data 81 including the area of the narrow-area high-precision map data that is recorded in an upper-level assistance server device 7. The map update server device 8 updates the narrow-area high-precision map data 82 and the wide-area high-precision map data 81 on the basis of data in common.