40 results about "Road mapping" patented technology

A method for coordinating a vehicle in a depot divided into multiple function regions, the vehicle being driven in the depot through at least some of the function regions into a defined destination region, includes receiving a travel profile. The travel profile has at least one function rule, each function rule of the at least one function rule being assigned to a function region in the depot and defining how the vehicle is activated and / or may not be activated in the depot in the respectively assigned function region. While the vehicle is being driven through at least some of the function regions into the destination region, the method includes continuously ascertaining a position of the vehicle, ascertaining, from the received travel profile, the function region assigned to the presently ascertained position of the vehicle, and reading in, from the received travel profile, the function rule assigned to the region.

The invention relates to an automatic navigation method and device for a robot with a body, computer equipment, a computer readable storage medium and a computer program product. The method comprises the steps of obtaining a task instruction and an environment map; generating a task sequence and a key path point based on the environment map and the analyzed task instruction; sampling points are generated in the environment map, the sampling points serve as nodes, a connecting line, not colliding with the obstacle, between any two nodes serves as an edge, and a probability route map is constructed; obtaining an initial feasible path in the probability route map based on a preset path optimization target and semantic constraint information; the actual position of the dynamic obstacle is obtained in real time, path updating is triggered when the deviation between the actual position and the predicted trajectory exceeds a preset threshold value, and an updated feasible path is obtained; smoothing the updated feasible path to obtain a task path; and converting the task path and the task sequence into a control instruction, and controlling the robot with the body to complete automatic navigation according to the control instruction.

The invention discloses a flight trajectory coordinate and orientation correction method and device based on an airport flight area sliding structure chart, equipment and a medium, and the method comprises the steps: constructing a flight area sliding route chart structure chart of a target airport, and obtaining an airport sliding line path segment data set; performing path matching and coordinate point matching on a current track point and a historical track point in the track time sequence of the target aircraft to obtain a matched path and a matched coordinate point; according to the matched coordinate point, determining an end point of a path section of the target aircraft in the advancing direction of the current matched path; according to the matched coordinate point corresponding to the current track point and the end point of the path section, determining a traveling point; and determining a corrected direction value of the target aircraft and a matched coordinate point corresponding to the advancing point based on the matched coordinate point corresponding to the current track point and the advancing point. The invention belongs to the field of aircraft advancing track correction. According to the invention, accurate navigation of the aircraft on the ground can be realized.

This disclosure provides a route map-based parking method, comprising: an on-board parking module receiving a start control signal generated and sent by a terminal parking module; the on-board parking module starting based on the start control signal; the terminal parking module generating a path navigation route map; and the on-board parking module executing a parking control process based on the path navigation route map; or, the on-board parking module sending historical trajectory information of the vehicle associated with its current location and including at least one historical parking target location to the terminal parking module; and the on-board parking module executing a parking control process based on a historical parking target location selection instruction received by the terminal parking module. This disclosure also provides a parking system, an electronic device, a readable storage medium, and a computer program product.

The application discloses a flight trajectory coordinate and direction correction method and device based on an airport flight area sliding structure diagram, equipment and a medium, and comprises the following steps: constructing a flight area sliding route structure diagram of a target airport, and obtaining an airport sliding line path segment data set; performing path matching and coordinate point matching on a current trajectory point and a historical trajectory point in a trajectory time sequence of a target aircraft, and obtaining a matching path and a matching coordinate point; determining an endpoint of a path segment in the advancing direction of the target aircraft on the current matching path according to the matching coordinate point; determining a travel point according to the matching coordinate point corresponding to the current trajectory point and the endpoint of the path segment; and determining a correction direction value of the target aircraft and a matching coordinate point corresponding to the travel point based on the matching coordinate point corresponding to the current trajectory point and the travel point. The application belongs to the field of aircraft travel trajectory correction. The application can realize accurate navigation of the aircraft on the ground.

Apparatuses and methods related to routing robots are provided. A route map of an environment including first and second robots can be received. The route map can be annotated with one-way lanes connecting conflict areas, where each lane ends to avoid blocking a conflict area. A first route and a second route used by the first and second robots, respectively, can be determined, where the first route and the second route each include a first lane connecting to a first conflict area. A first higher priority and a second lower priority can be assigned to the first and second robots, respectively. It can be determined that the second robot following the second route will block the first robot on the first lane. Based on the first priority being higher than the second priority, a computing device can alter the second route to prevent the second robot from blocking the first robot.

This invention discloses a method and system for detecting the number of unconventional particulate matter emissions, belonging to the technical field of vehicle monitoring and management. It includes the following steps: a vehicle monitoring system is installed on each heavy-duty diesel vehicle, and the vehicle monitoring system is connected to a cloud server; the vehicle monitoring system monitors the location information and pollutant emissions of the heavy-duty diesel vehicle; the cloud server generates a vehicle driving route map based on the location information and calculates the pollutant emissions; a neural network model is trained using the vehicle driving route map and pollutant emissions; when the vehicle monitoring system receives a new vehicle driving route map, it uses the neural network model to calculate the pollutant emissions corresponding to each short-distance road segment and calculates the total pollutant emissions of the new vehicle driving route map, marking the new vehicle driving route map. This invention has the effect of predicting and displaying details of pollutant emissions from heavy-duty diesel vehicles before the start of a trip, allowing vehicle owners to manage their trips in advance.

Device for providing eco-driving information for a vehicle, comprising: a vehicle weight calculation unit (1) which is configured to calculate a current weight of the vehicle based on data received from a plurality of devices within the vehicle; a computing unit (3) for the electrical load, which is equipped to calculate an electrical load of auxiliary machines currently used in the vehicle; a vehicle speed calculation unit (5) configured to calculate, using a route map, a fuel-efficiency-oriented vehicle speed that maximizes the vehicle's travel distance according to the calculated vehicle weight and electrical load; and a display device (7) which is set up to display the calculated fuel efficiency-oriented vehicle speed to a user. where the weight of the vehicle is calculated from the electricity consumption of a vehicle drive motor, an air density, a drag coefficient, a projection area of ​​the vehicle, the vehicle speed, a coefficient of friction of a current road on which the vehicle is traveling, the acceleration due to gravity and an inclination of the current road on which the vehicle is traveling, where the weight of the vehicle is calculated using the following equation m = ( TF + 1 2 ρ air C d AV 2 ) / ( μ g cos θ+ g sin θ ) where m represents vehicle weight, TF represents a driving force, ρ air which represents air density, C da drag coefficient, A a projection area of ​​the vehicle, V the vehicle speed, µ a coefficient of friction of the current road, g the acceleration due to gravity of the vehicle, and θ the current inclination of the road, and The driving force is obtained from a relationship TF = P / V, where P represents the power input of the drive motor and V represents the vehicle speed. wherein the vehicle weight calculation unit (1), the electrical load calculation unit (3) and the vehicle speed calculation unit (5) are incorporated into a single chip and the route map comprising the vehicle weight, electrical load and vehicle speed is embedded in the chip.

The invention relates to a method for operating a high beam assistance system of a vehicle (1) having a pivotable headlight, wherein the headlight projects light distribution (2) into the environment. The invention is characterized by the following method steps: detecting the surroundings of the vehicle by means of at least one surroundings sensor of the own vehicle (1); processing, by an in-vehicle computing unit, sensor data generated by the at least one environmental sensor in order to determine whether there is a raised obstacle at the lane edge; when at least one protruding obstacle exists, the position of the vehicle (1) is determined through the calculation unit, the position is matched with a digital route map, and whether the direction of a road section located behind the protruding obstacle can be read from the digital route map or not at the view angle from the vehicle (1) to the protruding obstacle is judged; if so: controlling at least the headlight (3) closer to the raised obstacle by means of the computing unit in order to: reduce the brightness of the emitted light distribution (2); the distributed light (2) is vertically pivoted downwards; and / or the distributed light (2) is horizontally pivoted away from the convex obstacle.

The invention relates to a method for processing a digital road map, comprising the following steps: Capturing the vehicle's surroundings using one or more environmental sensors during multiple journeys along the same route covered by a digital road map, in order to determine environmental data based on the data collection, which describes the vehicle's surroundings in each case. Vehicle-side performance of a scene analysis of the route based on the determined environmental data in order to obtain an analysis result, vehicle-side processing of the digital road map based on the analysis result. The invention relates to a device for processing a digital road map, a vehicle, a computer program and a machine-readable storage medium.

Devices, methods, and machine-read le media to facilitate intuitive comparison and selection of calculated navigation routes are disclosed. An electronic device for navigation includes a touch-sensitive screen and a processing module for displaying a map, calculating a number or navigation routes simultaneously on the touch-sensitive screen, and receiving a selection of a route. Callouts, or markers for presenting key information about each route, are also displayed discretely on the map. Navigation tiles including key route information and route pictorials can also be created and displayed for each calculated route.

Method and system of electric vehicle route planning for multi-service delivery and on-route energy replenishment is disclosed. Last mile delivery is a critical component of supply chains that impacts both customer experience and delivery cost. User request is received by a depot of a delivery environment. The user request comprising a current location of the user, one or more required services, and a time window rendered between each of the required services is processed and a graph is generated for the user request. Further, trained learning agent generates a route map indicating a plurality of waypoint locations for the electric vehicle to visit each node in accordance with minimized trip cost of fleet and time duration where each node has a state action pair for the electric vehicle. The learning agent learns continuously during the interaction with delivery environment and obtains feedback for every associated action.

An object of the system according to the embodiment is to propose a special experience or a gift according to an age of a user and celebrate a milestone of life.SOLUTION: A system according to an embodiment includes a proposal unit, an event planning unit, and a roadmap generation unit. The suggestion unit suggests a special experience or a gift according to the age of the user. The event planning unit plans an event that celebrates a milestone of the user's life. The roadmap generator provides a roadmap of the user's personal growth and enjoyment.SELECTED DRAWING: Figure 1

An object of a system according to an embodiment is to automatically propose and navigate a travel plan that matches preferences and conditions of a user.SOLUTION: A system includes a reception part, an analysis part, a provision part, and a navigation part. The reception unit receives an input of a desired town, the number of people, a budget, a time, and a favorite genre from a user. The analysis unit analyzes the data of the past town wrestling program on the basis of the information received by the reception unit, and proposes a course, a shop name, and a walking order that match the conditions of the user. The provision unit provides the course proposed by the analysis unit as a bookmark and a route map of the trip. The navigation unit performs navigation based on the information provided by the providing unit.SELECTED DRAWING: Figure 1

The purpose of the present invention is to suppress glare to people due to reflection of pattern light from a road surface drawing device on an icy road surface. A road surface drawing device for a vehicle is provided with: a road surface drawing lamp for irradiating pattern light; and a controller for controlling the road surface drawing lamp. The controller determines a plurality of conditions including a first condition, a second condition, and a third condition. The first condition is that the illuminance outside the vehicle is equal to or less than a predetermined illuminance ILth. The second condition is that the outside air temperature of the vehicle is equal to or less than the predetermined temperature Tth. The third condition is that the traction control TRC operates a predetermined number of times N1th or more within the predetermined time t1th, and the lateral slip suppression control ESC operates a predetermined number of times N2th or more within the predetermined time t1th. When the plurality of conditions are satisfied, the controller executes glare reduction control for stopping irradiation of at least a portion of the pattern light, reducing the amount of light, or changing the manner.

Systems and methods for smart integrated energy management of a haul truck fleet include obtaining operational data at a base station (125), wherein the operational data comprises one or more of haul truck telemetry data from a fleet of haul trucks (105, 107), route image data, environment data, haul load efficiency data, and payload data. The methods further include obtaining a mine plan of a mine, and determining, using an Al and Autonomy System comprised of Al models and connected to the base station (125), operational parameters selected from the following group: a CO2 emission, a productivity, an energy use, a haul truck velocity, and a haul truck acceleration, given the operational data. Furthermore, the methods include adjusting the operational parameters of at least one haul truck in the fleet of haul trucks (105, 107) and one or more haul trucks in operation.

The application discloses a GPS driving track correction method, device and equipment and a storage medium, and the method comprises the following steps: detecting whether a vehicle is in an idle state according to current GPS data and historical GPS data of the vehicle; when the vehicle is in the idle state, updating GPS record time according to the current GPS data, obtaining target GPS record time, taking GPS coordinates in the historical GPS data as target GPS coordinates, and correcting GPS driving records of the vehicle according to the target GPS record time and the target GPS coordinates. Since the application judges whether the vehicle is in the idle state according to the current GPS data and the historical GPS data of the vehicle, updates the GPS data of the vehicle in the idle state, corrects the original driving track of the vehicle according to the updated GPS data, filters out the track deviation of the vehicle on the GPS route map caused by the non-subjective purpose deviation due to the idle state, and obtains higher-quality GPS data track information.

Example methods and systems for calibrating sensors using road map data are provided. An autonomous vehicle may use various vehicle sensors to assist in navigation. Within examples, the autonomous vehicle may calibrate vehicle sensors through performing a comparison or analysis between information about the environment received by sensors with similar information provided by map data (e.g., a road map). The autonomous vehicle may compare object locations as provided by the sensors and as shown by map data. Based on the comparison, the autonomous vehicle may adjust various sensors to accurately reflect the information as provided by the road map. In some instances, the autonomous vehicle may adjust the position, height, orientation, direction-of-focus, scaling, or other parameters of a sensor based on the information provided by a road map.

The invention relates to a durian logistics optimization method and device considering preservation constraints, and the method comprises the steps: determining a center set and a dynamic preservation feature set of each logistics vehicle according to the distribution center of the logistics vehicles of the durian and the preservation state features of the durian loaded on each logistics vehicle; a logistics route map is constructed by combining the introduction of a durian quality attenuation model, the information interaction training of the logistics route map is carried out, the model optimization output is used as an optimal transportation route map, and the optimal combination time and the optimal combination object of logistics combination of each logistics vehicle are determined. And the logistics combination range is limited and shrunk based on insurance constraints, so that the logistics time, the logistics cost and the logistics damage of large-scale logistics vehicles are effectively reduced, and the quality of the durian is effectively ensured.

The invention discloses multi-point soil layer thickness measuring equipment for road surveying and mapping, which takes a cart with an open bottom as a carrier, a data acquisition module (comprising a multi-channel array radar, a vertical pointing laser contour scanner and a GPS / Beidou dual-mode positioning module) is arranged at the bottom, and an analysis module with a preprocessing algorithm and a U-Net model and a display module are arranged on the cart. A three-dimensional model is finally constructed by synchronously establishing a space reference, processing a radar signal, identifying a horizon and calculating speed and thickness, large-range continuous nondestructive measurement is realized, efficiency and precision are both considered, and support is provided for road engineering management and control.

A method for relative localization is provided. The method includes obtaining key points from a point cloud obtained by a sender vehicle, obtaining road boundary coordinates from course map information, comparing the road boundary coordinates against the key points to generate matched road boundary points and to calibrate the key points, generating augmented key points by combining the matched road boundary points and calibrated key points of a receiver vehicle, registering the calibrated key points of the sender vehicle against the augmented key points to generate a transformation matrix, and transforming coordinates of the sender vehicle into a coordinate system of the receiver vehicle using the transformation matrix.

The invention discloses an intelligent garbage dynamic clearance scheduling method and system based on recycling logistics optimization, and belongs to the technical field of garbage transportation scheduling, and the method specifically comprises the steps: carrying out the feature splicing of full-load rate data, opening and closing frequency data and people flow density distribution data, constructing a node feature sequence with a timestamp, and carrying out the feature splicing of the node feature sequence; constructing a spatial topology adjacency matrix based on the spatial geographic position of each garbage delivery terminal, and fusing to generate space-time diagram data; inputting the time-space diagram data into a time-space diagram convolutional network to extract regional topological correlation features and time sequence dependence features, and outputting a capacity evolution prediction curve of the garbage delivery terminal; calculating an overflow risk index of the corresponding garbage delivery terminal according to the capacity evolution prediction curve, and generating a clearance task node set; and in combination with the clearance task node set, the current position coordinate of the clearance vehicle and the dynamic residual load of the clearance vehicle, generating a multi-vehicle cooperative dynamic clearance route map through a deep reinforcement learning model.

A method for coronary road mapping may include receiving a current image associated with a medical scan, determining an image that matches the current image from a sequence of images for which respective blood vessel maps have been determined, and overlaying the current image with the blood vessel map associated with the matching image. The sequence of images may be captured when a contrast agent was present, and the matching image may be identified in response to determining that the physiological phase (e.g., cardiac cycle) and / or view depicted by the image match those depicted by the current image. Motion compensation may be performed as part of the blood vessel overlay, which may enable better visualization of blood vessels and medical device(s) (e.g., a catheter) placed in the blood vessels even when the contrast agent is worn out.

The invention relates to a method (100) for generating an electronic road map (300) with classification information (301) of a road junction (303), comprising: Receiving (101) position information (305) of a spatial area (307) encompassing a road junction (303) of an electronic road map (302); Receiving (103) position data (309) of a plurality of vehicles passing through the road junctions (303); Classifying (105) the road junction (303) by a classifier module (313) based on the position information (305) of the spatial area (307) encompassing the road junction (303) and based on the position data (309) of the vehicles passing through the road junction (303), wherein the classification (105) comprises: Identifying (107) the road junction (303) as a roundabout (315) if in the majority of position trajectories (311) at least a predefined number of position trajectories (311) each have a predefined curve trajectory (317), Adding (109) classification information (301) of the road junction (303) to the electronic road map (302) and generating the electronic road map (300) with classification information (301). The invention further relates to an electronic road map (300) and a method (200) for generating a training data set (400) for training a classifier module (313).

This invention discloses an automatic roadmap construction method for engineering problem solving based on a large language model. The invention constructs a skill point repository dataset and an expert-verified roadmap dataset. An automatic roadmap construction model is built based on these datasets. A pre-defined complex engineering problem is input into the automatic roadmap construction model. An initialization agent generates an initial roadmap. A knowledge agent enhances the initial roadmap by combining internal and external knowledge. A logical critique agent and a granular critique agent critique the logical structure and task node decomposition granularity of the roadmap, respectively. A revision agent improves the roadmap based on the critique results. The improved roadmap is evaluated, and if it reaches a preset passing score, a structured roadmap for solving the complex engineering problem is output. This invention effectively addresses the shortcomings of existing technologies in cultivating the ability to solve complex engineering problems.

A system includes one or more processing circuits comprising one or more memory devices coupled to one or more processors. The one or more memory devices configured to store instructions thereon that, when executed by the one or more processors, cause the one or more processors to receive an input from a camera, the camera configured to facilitate surveying a work site, receive an external input indicating a desired location of a work machine on the work site, determine ground conditions of the work site based on at least the input from the camera, the ground conditions indicating at least one of a surface condition or an obstacle, determine a vehicle route from a current location of the work machine to the desired location based on the ground conditions, and generate a route map of the vehicle route defining the vehicle route and the ground conditions.

To provide a program, a method and a system for evaluating a state of crack on a road surface efficiently, a road map, and a method of creating the road map.SOLUTION: In a damage detection system equipped with an information processing server and a terminal device mounted on a vehicle, the information processing server 20 is configured to: acquire road surface video captured from a traveling vehicle, and use a trained model for performing identification on a plurality of frames included in the captured video to detect damage on the road surface captured in the frames (S21); perform image processing which acquires, from the plurality of frames, point cloud data showing a relative positional relationship pertaining to a subject captured in each frame, and an estimated imaging position of an imaging unit at which each frame was captured, and use the acquired point cloud data and images included in the plurality of frames to generate a bird's-eye view showing the road surface (S22); and use the estimated imaging position to allocate detected damage information to each of segmented unit regions of the generated bird's-eye view, and generate road surface damage data which includes the damage information in each of the unit regions (S23).SELECTED DRAWING: Figure 14