80 results about "Road mapping" patented technology

The invention relates to the field of gypsum library scheduling, and discloses an intelligent gypsum library job scheduling control system, which is provided with a monitoring module, a task scheduling module, a constraint reforming module, a grading module, a collision avoidance regulation and control module and a task scheduling module, simulates different operation task allocation conditions based on a driving scheduling model, and screens an optimal task allocation scheme; the constraint reforming module draws a driving speed change diagram according to the instruction parameters of the driving grading instruction based on the speed constraint, and draws a walking route map according to the speed change diagram; the grading module determines the collision avoidance priority of driving based on the task remaining time; the collision avoidance regulation and control module controls the travelling crane with the low collision avoidance priority to start a collision avoidance program when the distance difference between the two travelling cranes tends to and is equal to the maximum safety distance. According to the invention, on the basis of considering the speed constraint, task allocation optimization is realized, the speed change diagram of driving is updated by taking the speed constraint as a reference, and the driving collision avoidance effect is optimized on the basis of considering the driving speed constraint.

The invention relates to the technical field of cadastral data dynamic management, and discloses a cadastral data dynamic updating and storage method, device and equipment and a storage medium. By receiving a land law enforcement task set of a target law enforcement vehicle, a law enforcement driving route map for a plurality of law enforcement tasks is constructed; issuing cadastral data of each law enforcement task to a cadastral data edge library at different driving road sections is taken as a decision variable, and the storage capacity of a target law enforcement vehicle, the maximum communication capability of each driving road section, the cadastral data advanced issuing characteristic and the cadastral data real-time performance are considered; and controlling cadastral data scheduling of the cadastral data edge library and the cadastral data core library, and assisting law enforcement officers in land law enforcement. Therefore, by adopting the task-oriented accurate data issuing and dynamic and the space-time analysis-based bandwidth prediction and optimization strategy, organic unification of the real-time performance, the security and the access efficiency of the cadastral data is realized, and efficient and reliable data support is provided for land law enforcement.

The invention discloses a charging decision-making method, system and device for an extended-range automobile and a storage medium, and relates to the technical field of electric automobiles, and the method comprises the steps that first automobile state data and first external environment data are collected; setting a first parameter according to the first vehicle state data and the first external environment data; dynamically generating a charging decision rule according to the first parameter; decision making is carried out on the candidate charging stations according to the charging decision rule, and candidate charging station recommendation schemes are generated; evaluating the candidate charging station according to the candidate charging station recommendation scheme to obtain a target charging station; and feeding back the target charging station to the user and generating a route map for navigating to the target charging station. According to the technical scheme provided by the invention, the rule can be dynamically generated based on the real-time environment data, and the target charging decision system is provided through the multi-target optimization algorithm, so that the user experience and the energy utilization efficiency are improved.

The invention discloses an AI-based new energy commercial vehicle dynamic path optimization method and system, and relates to the technical field of path planning. Determining a driving path between every two effective nodes in the route map to obtain a distance matrix; obtaining an energy consumption matrix according to the distance matrix and the energy consumption rate of the new energy commercial vehicle, and obtaining a time matrix according to the distance matrix and the driving speed of the new energy commercial vehicle; initializing an effective node set and a function node set, and randomly combining effective nodes and function nodes to construct a plurality of expression trees; sorting all client nodes according to the distance matrix, the energy consumption matrix and the time matrix to obtain a client importance list, and substituting the client importance list into a genetic algorithm to determine a route plan of each new energy commercial vehicle; after the new energy commercial vehicles drive one node, the route of each new energy commercial vehicle is dynamically planned, and the operation efficiency of the new energy commercial vehicles is improved.

The invention discloses a probabilistic route map path planning method and device. The method comprises the following steps: S1, acquiring global position information and obstacle information of an automatic driving vehicle; s2, sampling to obtain candidate path nodes; s3, constructing a covariance matrix; s4, calculating the mahalanobis distance between each candidate path node and the barrier distribution; s5, discarding sampling points whose mahalanobis distances are smaller than a set safety threshold, and performing preliminary screening on candidate path nodes; s6, constructing a probability route map based on the screened candidate path nodes; and S7, completing path planning. According to the method, useless and low-efficiency sampling nodes can be accurately eliminated, so that the construction of the probabilistic route map is simpler and more efficient, and the construction quality and effect of the probabilistic route map are greatly improved; meanwhile, interference and calculation burden caused by invalid nodes are reduced, and the efficiency of path planning is remarkably improved; in addition, waste of computer resources is reduced, and resource utilization efficiency is improved.

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 application discloses a kind of unmanned aerial vehicle autonomous exploration method and device under dynamic unknown environment, method includes: by map module updates current three-dimensional voxel map;By map module, the target boundary region is obtained by boundary processing to current three-dimensional voxel map;By map module, global route map is updated;By perception module, image key information is obtained by current environmental image processing;By planning module, the target working mode of unmanned aerial vehicle is determined according to binary image;If target working mode is detection mode, then control unmanned aerial vehicle detects target detection object and obtains target detection information;If target working mode is exploration mode, then target exploration path is generated by planning module according to target boundary region, global route map and dynamic obstacle information.This application can realize seamless switching of detection mode and exploration mode, guarantee the efficient target search capability of unmanned aerial vehicle when autonomous exploration in dynamic unknown environment, and can be widely applied in unmanned aerial vehicle technical field.

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.

The invention relates to the technical field of AI patrol robots, in particular to an intelligent scheduling system and scheduling method for AI patrol robots. An intelligent scheduling system of an AI patrol robot comprises a scenic spot modeling device which constructs a scenic spot two-dimensional road network based on a scenic spot route map; the people counting device is used for counting the current tourist number of each node in the two-dimensional road network in real time and generating current people flow data; according to the intelligent scheduling system provided by the invention, the initial patrol plan is generated according to the future people number distribution prediction map of the scenic spot, the dynamic matching precision and adaptability of the patrol strategy and the real-time people flow density are remarkably improved, and the inherent limitation of a fixed route patrol mode is effectively overcome.

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 provides a homeward voyage control method, device and equipment for an unmanned aerial vehicle, and the method comprises the steps: obtaining historical track points of the unmanned aerial vehicle; a target route map is constructed based on the historical track points, the target route map comprises a plurality of nodes, and at least part of the nodes are mutually connected; for the two mutually connected nodes, determining connection cost parameters corresponding to the two nodes based on the distance between the two nodes and the distance between the nodes and the obstacle; and determining a return path of the unmanned aerial vehicle from the target circuit diagram according to the connection cost parameter, and controlling the unmanned aerial vehicle to return according to the return path. The method improves the return voyage success rate.

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.

The invention discloses a path determination method and device, a storage medium, electronic equipment and a program product, and relates to the field of financial science and technology. The method comprises the steps that a route map is determined according to the position of a cash truck and the positions of N network points, and the route map at least comprises path information and traffic information from the cash truck to each network point and path information and traffic information between any two network points in the N network points; acquiring a set priority of each branch for the cash transport task; and determining a target driving path of the cash truck according to the route map, the set priority of each branch for the cash transport task and the vehicle state data of the cash truck. The technical problem that the driving path planning accuracy of the cash truck is low due to the fact that traditional cash truck path planning depends on a fixed route or simple artificial experience and is difficult to cope with a complex and changeable traffic environment is solved.

A processor provided in an operation system determines, on the basis of map data or the like, whether or not a host vehicle is traveling in a region in front of a gate, the region being within a predetermined distance of the gate. When the processor is traveling in the region in front of the gate, the processor changes the configuration of a route image according to an automation level and a road structure in the vicinity of the gate. For example, the combination of objects (in other words, display items) arranged in the route image is changed according to the automation level.

The invention provides an intensive dynamic shunting method. The method comprises the following specific steps: S1, recording and updating information of all online orders in real time; s2, forming a navigation route based on the starting place / destination of the order in the order module, and establishing a navigation route network according to the navigation routes of all online orders; s3, aiming at each navigation route, screening all sharable routes which have the same road section as the navigation route and are in reverse driving in the navigation route network within the driving time range of N-M hours; s4, all the shared routes are traversed, and the optimal segments are selected to be combined to form a new segmented navigation route map; s5, determining a new car changing meeting point of the segmented navigation route map; and S6, informing a related driver to complete a car changing procedure at the appointed car changing meeting point. According to the method, the efficiency can be effectively improved, the cost is reduced, and the safety is improved.

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 invention provides a path planning method and device for the tail end of a mechanical arm, electronic equipment and a storage medium, and relates to the technical field of industrial robots. The method comprises the steps that according to equipment parameters of the mechanical arm, a route map is constructed in an off-line mode; performing online path search on the route map according to the current position and the target position to obtain an original path; and the original path is optimized, a target path is obtained, and the tail end of the mechanical arm is controlled to move from the current position to the target position along the target path. According to the method, a large amount of constraint check, especially time-consuming collision check, is carried out in an offline route map construction stage, so that the time of an online query stage is saved; according to the method, the route map is obtained, online map search is carried out in the route map, an original path is obtained, only a plurality of nodes on the route map need to be searched, search in a joint space or a Cartesian space is not needed, the search space is reduced, constraint check does not need to be carried out on all the nodes on the route map, the search efficiency is improved, and the path planning efficiency is improved.

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.

The application relates to the technical field of engineering detection, and specifically provides a precast pile detection system and a detection method. The precast pile detection system comprises a data terminal module, a walking positioning module, a signal acquisition module and a signal discrimination module. The data terminal module is used for outputting a walking route map. The walking positioning module comprises a walking module and a positioning module. The walking module is used for moving according to the walking route map, and the positioning module is used for judging whether the walking module reaches a target pile position. The signal acquisition module is used for installing a vibration sensor when the walking module reaches the target pile position, applying excitation to the target pile position, and collecting a reflected wave signal of the target pile position. The signal discrimination module is used for outputting a detection result according to a waveform curve generated by the reflected wave signal. The application can realize detection automation and intelligentization, avoid the influence of human intervention and experience judgment on the result, solve the problem that manual operation is time-consuming and labor-consuming, standardize the detection, and improve the detection accuracy.

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 invention discloses an engineering problem solving route map automatic construction method based on a large language model. The method comprises the following steps: respectively constructing a skill point warehouse data set and an expert verification route map data set; constructing a route map automatic construction model based on the skill point warehouse data set and the expert verification route map data set; a preset complex engineering problem is input into a route map automatic construction model, an initial route map is generated by an initialization agent, knowledge enhancement is executed on the initial route map by a knowledge agent in combination with internal and external knowledge, a logic judgment agent and a granularity judgment agent conduct judgment on the logic structure of the route map and the decomposition granularity of task nodes respectively, and the calculation result is obtained. And the revision agent improves the route map according to the approval result, evaluates the improved route map, and outputs and generates a structured route map for solving the complex engineering problem if a preset pass score is reached. According to the method, the defects of the prior art in complex engineering problem solving capability culture are effectively overcome.