Patents
Literature
Hiro is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Hiro

30 results about "Environmental modeling" patented technology

Method for planning path for mobile robot based on environmental modeling and self-adapting window

InactiveCN101738195ASolve the problem of generating obstacle avoidance paths in real timeThe problem of real-time generation of obstacle avoidance paths satisfiesInstruments for road network navigationSpecial data processing applicationsSimulationLocal environment
The invention relates to a method for planning a path for a mobile robot based on environmental modeling and a self-adapting window, which relates to a method for planning a real-time path for the mobile robot. The method comprises the following steps of: performing modeling and analysis on a multiple constraint local environment; performing passable analysis; performing safety analysis; performing motion smoothness analysis; performing goal-directed analysis; and performing path planning by adopting the self-adapting window. Because the method has better environmental suitability and obstacle avoiding capacity, the method obtains good safety and reachability, has high calculation real-time property, so the method solves the problem that the mobile robot generates an obstacle avoidance path in real time in an uncertain complex environment, provides a path selection method with optimized integration, better meets the requirements on obstacle avoidance for the mobile robot, realizes the real-time path planning and control of the robot, and provides an effective collision-less path planning method for the navigation application of the mobile robot.
Owner:XIAMEN UNIV

Automatic guided vehicle scheduling system and method based on global wireless precise positioning

The invention provides an automatic guided vehicle scheduling system based on global wireless precise positioning. The system comprises a real-time positioning layer, an application layer man-machine interface, a distributive vehicle control layer and a wireless communication layer; the real-time positioning layer comprises a to-be-positioning mobile tag, a wireless ranging fixed base station, a UDP (user datagram protocol) datagram transmission module and a coordinate calculation module; the application layer man-machine interface comprises a task management and publishing module, a position monitoring and scheduling module and an environmental modeling and electronic map downloading module; the distributive vehicle control layer comprises a distributive route planning module, an electronic map receiving and storing module, a line patrol and route switching module and an environmental perception module; and the wireless communication layer comprises a wireless transceiver host module, a wireless transceiver slave module and a wireless peer-to-peer communication network. According to the system and the method provided by the invention, as the global real-time wireless accurate timing technology is introduced, the positions of all AGVs (automated guided vehicles) in the system are monitored in real time, and are fed back to a centralized main control computer, so that the computer can perform uniform scheduling on all equipment in the system.
Owner:NANJING UNIV OF AERONAUTICS & ASTRONAUTICS

Mobile robot grating map creating method of real-time data fusion

The invention provides a building method of a grid map by a mobile robot based on real-time data fusion. The method comprises the following steps: artificially dividing an environment into a plurality of grids with the same size, and obtaining the distance information by sonar sensors arranged on the front end of the mobile robot; extracting measured values of three sonar sensors which are closest to a currently computed grid unit at the same time, respectively explaining a single sonar data by a fuzzy logic and a probability theory so as to obtain a group of characteristic vectors which are subject to the data fusion as input vectors of a neural network, wherein, output values of the neural network comprises idle state, busy state and undefined state of the grid; finally updating the state of the grid by the Bayes rule. The mobile robot of the invention obtains the environmental information by sonar ranging finders and completes the environmental modeling, thus providing reliable basis for the subsequent autonomous navigation of the mobile robot.
Owner:HUNAN UNIV

Autonomous operation forestry robot platform

The invention discloses an autonomous operation forestry robot platform, which comprises a robot body and a control system, wherein the robot body has a four-wheel drive structure and comprises a vehicle chassis, a vehicle roof platform, a vehicle frame and the like; and the control system of a robot can finish complex control and data processing algorithms and is provided with various sensors such as a navigation positioning sensor, a laser measurement sensor, a binocular vision sensor and the like so as to perform information detection and intelligent navigation on an autonomous forestry robot operation environment. An autonomous operation forestry robot has a simple structure and high four-wheel drive capability, can flexibly and reliably move under the condition of complex terrain in a forest district, has intelligent decision-making and environmental modeling capabilities and can finish an information detection task in the working environment of the forest district; and various operation manipulators can be arranged on the robot, so that forestry production operation tasks such as forestry pruning, intermediate cutting, logging, shipping and the like can be further finished autonomously.
Owner:BEIJING FORESTRY UNIVERSITY

Ant colony algorithm based independent planning method of autonomous ship navigation path

The invention discloses an ant colony algorithm based independent planning method of an autonomous ship navigation path. The method comprises the following steps: processing a marine map to obtain a modeling map information matrix suitable for environmental modeling; performing environmental modeling in an MATLAB through a grid method with the modeling map information matrix as a model; performingpath planning on the model through the ant colony algorithm based autonomous ship planning algorithm, thereby obtaining an optimal path from the starting point to the end point; outputting node coordinates of the path; transforming the coordinates to output the coordinates of latitude and longitude; and correspondingly depicturing the path on the marine map based on the coordinates of latitude and longitude, thus realizing the result of displaying the planned path on the marine map. According to the method, the optimal planned path can be effectively displayed in the map, and the requirementsof actual application are met.
Owner:SOUTH CHINA UNIV OF TECH

UGV driving path planning method based on UAV cooperation sensing

The invention discloses a UGV driving path planning method based on UAV cooperation awareness, and the method comprises the following steps: carrying out environmental modeling and environmental awareness: establishing a real-time information interaction environment and obtaining scene information; converting the obtained scene information into a grid scene map, and carrying out obstacle collisionrisk prediction and avoidance; and carrying out path planning in the obtained grid scene map. Under the UAV cooperation mode, an obstacle target is effectively identified, automatic planning of a UGVdriving path is realized, a theoretical and technical support is provided for path planning problems related to intelligent transportation industries such as emergency response, target tracking and rescue, and research has certain perspectiveness and urgency.
Owner:XI'AN POLYTECHNIC UNIVERSITY

Track planning method based on viewable modeling

The invention relates to a smart ship control technology, and discloses a track planning method based on viewable modeling. By simplifying a viewable model for track planning, the optimal visible edgecan be found in real time through a track planning algorithm, thereby achieving the simultaneous effect of environmental modeling and path planning, greatly improving the execution efficiency of thealgorithm, reducing the time required for modeling and path planning, and avoiding the generation of redundant data of environmental models at the same time.
Owner:智慧航海(青岛)科技有限公司

Dynamic path planning method for ant colony algorithm in congestion environment

ActiveCN110941267AMake up for the factors that do not consider the dynamic changes of environmental congestionMeet traffic jamPosition/course control in two dimensionsVehiclesEnvironmental modellingSimulation
The invention discloses a dynamic path planning method for an ant colony algorithm in a congestion environment, and the method comprises: the step 1, carrying out the environment modeling, and obtaining an environment factor representing the congestion condition in the congestion environment; and the step 2, after replacing the distance of the road in the ant colony algorithm with the environmental factor, carrying out dynamic path planning by utilizing the dynamic change of the environmental factor. According to the invention, environmental factors for reflecting traffic jam are provided, environmental factors in a congestion environment are obtained by using an environmental modeling method, and the environment factor is used for replacing the distance of the road in the ant colony algorithm to realize the dynamic path planning of the ant colony algorithm in the congestion environment. Therefore, the factor that the dynamic change of the environment congestion condition is not considered in the existing path planning algorithm is made up, the accuracy of the optimal solution of path planning in the congestion environment is improved, and the method better conforms to the actual situation of the current urban traffic congestion.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA +1

An environmental modeling capability assessment method and system for an autonomous vehicle

The embodiment of the invention provides an environmental modeling capability assessment method and system for an autonomous vehicle, and belongs to the field of intelligent transportation. The methodcomprises the following steps: obtaining environment information of a plurality of continuous frames of a vehicle environment detected by a vehicle-mounted sensing system of the automatic driving vehicle; comparing and analyzing the environment information of a plurality of consecutive frames with corresponding real environment information, judging whether one or more of information delay, information missing report and signal false report exist or not, and if yes, counting the time of the information delay and the occurrence frequency of the information missing report and the signal false report; And evaluating the environment modeling capability of the autonomous vehicle according to the information delay time, the occurrence frequency of the information missing report and/or the occurrence frequency of the signal false report. According to the method, the labeling frequency and labeling quantity of information delay, information missing reporting, information false reporting and the like are improved, and more powerful data support is provided for evaluating the environment modeling capability of the autonomous vehicle.
Owner:BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD

Path planning method and device and electronic equipment

The invention discloses a path planning method and device and electronic equipment. The method comprises the following steps: performing environmental modeling according to static road network information and dynamic road condition information of a road network to obtain an environmental model; determining a plurality of candidate paths according to the starting point and the terminal point; extracting environmental features corresponding to each candidate path from the environmental model by utilizing a feature extraction network of the path planning model; inputting the environmental features into a value estimation network of a path planning model to obtain estimated values of candidate paths output by the value estimation network; and determining an optimal path in the candidate pathsaccording to the estimated value. According to the technical scheme, the dynamic road condition information comprises motion states of a plurality of intelligent agents in a road network, and has spatial globality; when path planning is carried out, the environmental characteristics corresponding to the candidate paths determined according to the starting point and the terminal point are extractedaccording to the environmental model, so that full-path planning instead of planning in different time windows is achieved, and time globality is achieved.
Owner:GOERTEK INC

Intelligent control system for autonomous operation forestry robot

The invention discloses an intelligent control system for an autonomous operation forestry robot and is applied to the technical field of intelligence of forestry equipment. The system comprises a central control computer, a motion control module, a navigation and positioning module, a laser measuring module, a binocular vision module, a motor driving module, a wireless communication module, a power supply module, a CAN communication module and the like. Complicated task scheduling, a control algorithm and the like are implemented in the central control computer while simpler control algorithms which are high in demand on real-time are implemented in the motion control module and the motor driving module, so that the integral processing capacity and real-time of the system are ensured. Byadopting a redundancy design for the motion control module and the like, the system reliability is improved. The system can meet the task demand of intelligent decision making and environmental modeling by the autonomous operation forestry robot, has the characteristics of being strong in data processing capacity, intelligent and high in reliability, and improves the intelligent level of a conventional forestry robot control system.
Owner:黄石市禾呈林业有限公司

Method and system for detecting red light running based on complex high-dynamic environmental modeling

The invention discloses a method and a system for detecting red light running based on complex high-dynamic environmental modeling. The method comprises the following steps of 1) calibrating intersection pictures; 2) performing background modeling on the intersection pictures by using a gaussian mixture model; 3) performing illumination detection and analysis on the modeled background, and updating the background so as to obtain the exact background pictures of a current intersection; 4) obtaining the tracking information of vehicles at the intersection according to background subtraction and tracing algorithm treatment; and 5) judging whether the vehicles run the red light according to the tracking information and calibrating pictures of the vehicles. The system based on the method comprises a camera device and a control device, wherein the camera device is connected with the control device, and sends the shot intersection pictures to the control device; and the control device performs the background modeling on the shot intersection pictures by using the gaussian mixture model, performs illumination detection and analysis on the modeled background, and judges whether the vehicles run the red light. By the method and the system, the background can be rapidly and exactly updated; the accuracy and adaptability of red light running detection can be improved; and the method and the system are suitable for various complex environments.
Owner:布法罗机器人科技(成都)有限公司

Single-station landslide deformation monitoring and early warning method based on GNSS environment model

The invention discloses a single-station landslide deformation monitoring and early warning method based on a GNSS environment model. The method comprises the following steps of deploying terminal equipment and performing data acquisition, determining an initial position of a monitoring point, calculating environment modeling source data, performing weekday environment modeling, solving a correlation coefficient and performing early warning application. According to the monitoring and early warning method of the invention, a low-cost consumption-level GNSS positioning terminal is adopted to perform data acquisition and environmental modeling; the landslide acceleration state is subjected to early identification and effective early warning through the change trend of the correlation coefficient of the environment model, so that the monitoring cost is greatly reduced, and a new thought and a new method are provided for GNSS landslide monitoring and early warning.
Owner:NAT TIME SERVICE CENT CHINESE ACAD OF SCI

Method for planning path for mobile robot based on environmental modeling and self-adapting window

InactiveCN101738195BSolve the problem of generating obstacle avoidance paths in real timeThe problem of real-time generation of obstacle avoidance paths satisfiesInstruments for road network navigationSpecial data processing applicationsSimulationLocal environment
The invention relates to a method for planning a path for a mobile robot based on environmental modeling and a self-adapting window, which relates to a method for planning a real-time path for the mobile robot. The method comprises the following steps of: performing modeling and analysis on a multiple constraint local environment; performing passable analysis; performing safety analysis; performing motion smoothness analysis; performing goal-directed analysis; and performing path planning by adopting the self-adapting window. Because the method has better environmental suitability and obstacle avoiding capacity, the method obtains good safety and reach ability, has high calculation real-time property, so the method solves the problem that the mobile robot generates an obstacle avoidance path in real time in an uncertain complex environment, provides a path selection method with optimized integration, better meets the requirements on obstacle avoidance for the mobile robot, realizes the real-time path planning and control of the robot, and provides an effective collision-less path planning method for the navigation application of the mobile robot.
Owner:XIAMEN UNIV

Assessment method and system for environmental modeling capability of autonomous driving vehicle

The embodiment of the invention provides an assessment method and system for environmental modeling capability of an autonomous driving vehicle, and belongs to the field of intelligent traffic. The method comprises the following steps: constructing a polygon capability chart for the environmental modeling capability, wherein each vertex is configured to represent one level; acquiring entity attribute information of a plurality of entities associated with environmental modeling in each level; determining the importance degrees of corresponding entities for the vehicle driving safety in conjunction with the entity attribute information, and allocating a weight to each entity according to the importance degrees; acquiring the accuracy of a vehicle-mounted sensing system in correctly detectingeach entity; calculating the total weight score of each level in conjunction with the accuracies and the weights; and displaying the total weight scores in the polygon capability chart in order to form an environmental modeling capability chart. Through adoption of the assessment method and system, the environmental modeling capability chart of the vehicle based on a plurality of levels can be obtained, and the environmental modeling score of each level can be determined to be compared with the environmental modeling capabilities of other versions of vehicles and competitive vehicles.
Owner:BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD

Data-based test evaluation system

The invention relates to the technical field of test systems, and further discloses a test evaluation system based on the data. The guiding and adjusting end software module comprises a statistical score design. The statistical scoring design comprises a target detection sub-module, an effectiveness evaluation sub-module, a correct rate evaluation sub-module, a target position evaluation sub-module, a task score evaluation sub-module and the like. By setting statistic score setting, evaluation mainly comprises two evaluation bases, namely target detection and environment modeling; correspondingly, the system evaluates two subjects of each piece of to-be-tested software, namely target detection and environmental modeling, the examination question data of the two subjects are different and non-versatility, the automatic evaluation module is an independent module relative to the examination process; the to-be-tested software returns the answer to the server, then the evaluation module canoperate independently without interacting with the server, and only after the evaluation module calculates the score, the persistence related interface of the server is called to store the score in the database, so that the integrity of the data during transmission flow is ensured.
Owner:中国人民解放军陆军研究院装甲兵研究所

A Visual Feedback Platform for Enhanced Virtual Reality Immersion

ActiveCN105291138BSolve the problem of limited work spaceAchieve intuitive controlManipulatorVisual servoingPhysical model
The invention discloses a visual feedback platform for enhancing virtual reality immersion, which is characterized in that it includes a robot, a visual servo tracking control unit, and an immersive visual feedback unit, and forms a closed presence system with users; the visual servo tracking control The unit is used to track the user's action behavior and environment modeling. After receiving the user's action behavior and environmental modeling information, the immersive visual feedback unit integrates it with the robot's limb model in the 3D virtual reality interface. The user wears the virtual reality The device performs a series of human-computer interactions. The visual feedback platform of the present invention has strong sense of immersion in human-computer interaction, less hardware investment, simple system and high integration degree, and is suitable for building robot human-computer interaction systems for different purposes.
Owner:创泽智能机器人集团股份有限公司

Greenhouse environment control system and method based on Internet of Things and cloud computing technology

ActiveCN104656617BContributes to intelligenceFacilitates automaticityMeasurement devicesTransmissionActuatorEnvironmental data
The invention discloses a greenhouse environment control system based on the Internet of Things and cloud computing technology, comprising: a greenhouse environment sensor module, an environmental data transmission module, a cloud platform server module, a greenhouse environment control module and a greenhouse environment actuator; Greenhouse environment regulation method based on internet of things and cloud computing technology. The regulation of the environment in the present invention combines the needs of the crop itself, rather than a single threshold control, so that the environmental control of the greenhouse is more refined; the use of automatically monitored environmental data avoids the complex modeling process of the crop-environment interaction, The environment is directly regarded as an input; the crop model can be used to predict the harvesting time and output of crops; it is of great significance for improving the intelligence and automation of greenhouse management and improving the economic benefits of greenhouse growth.
Owner:QINGDAO ACADEMY OF INTELLIGENT IND

A single-station landslide deformation monitoring and early warning method based on gnss environment model

The invention discloses a single-station landslide deformation monitoring and early warning method based on a GNSS environment model. Correlation coefficient solution, early warning application. The monitoring and early warning method of the present invention mainly uses a low-cost consumer-grade GNSS positioning terminal to collect data and perform environmental modeling, and identify the acceleration state of the landslide early and carry out effective early warning through the change trend of the correlation coefficient of the environmental model, which not only reduces the monitoring cost The price is greatly reduced, and it provides new ideas and methods for GNSS landslide monitoring and early warning.
Owner:NAT TIME SERVICE CENT CHINESE ACAD OF SCI

Land system change causal structure recognition method, system and device

InactiveCN108876210ACompliant with the characteristics of complexityAccurate Technical SupportResourcesPattern recognitionEnvironment of Albania
The invention discloses a land system change causal structure recognition method, system and device. The method comprises the following steps: land use type change data and influencing factor data ina plurality of time periods in a study area are acquired; with the land use type change data and the influencing factor data as model variables, a causal structure network is constructed; and a causalrelationship between the model variables in the causal structure network is recognized based on a PC algorithm, and a causal graph model is obtained. The relationship between the land use type changes and the influencing factors in the study area is considered comprehensively, the PC algorithm is used to recognize the causal relationship between the model variables in the causal structure network, and the causal structure among the land system variables can be effectively recognized; the method can integrate changes of each land use type in the land system and each factor influencing the landsystem changes between different systems and the complexity characteristic of the land system is better met; and the method can be widely applied to the field of environmental modeling.
Owner:GUANGDONG INST OF ECO ENVIRONMENT & SOIL SCI

Method and system for evaluating environment modeling capabilities of autonomous vehicles

Embodiments of the present invention provide a method and system for evaluating the environment modeling capability of an autonomous vehicle, belonging to the field of intelligent transportation. The method includes: constructing a polygonal capability graph for environment modeling capabilities, each vertex of which is configured to represent a level; obtaining entity attribute information of several entities associated with environment modeling in each level; combining entity attributes information to determine the importance of the corresponding entity to vehicle driving safety, and assign weights to each entity according to the importance; obtain the accuracy of each entity correctly detected by the on-board sensing system; combine the accuracy and weight to calculate the weight of each level a weighted total score; and displaying the weighted total score in a polygonal capability map to form an environment modeling capability map. The present invention can obtain the environmental modeling capability map of vehicles based on multiple levels, which is helpful for determining the environmental modeling scores of each level and comparing the environmental modeling capabilities with other versions of vehicles and competing vehicles.
Owner:BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD

Method and system for detecting red light running based on complex high-dynamic environmental modeling

The invention discloses a method and a system for detecting red light running based on complex high-dynamic environmental modeling. The method comprises the following steps of 1) calibrating intersection pictures; 2) performing background modeling on the intersection pictures by using a gaussian mixture model; 3) performing illumination detection and analysis on the modeled background, and updating the background so as to obtain the exact background pictures of a current intersection; 4) obtaining the tracking information of vehicles at the intersection according to background subtraction and tracing algorithm treatment; and 5) judging whether the vehicles run the red light according to the tracking information and calibrating pictures of the vehicles. The system based on the method comprises a camera device and a control device, wherein the camera device is connected with the control device, and sends the shot intersection pictures to the control device; and the control device performs the background modeling on the shot intersection pictures by using the gaussian mixture model, performs illumination detection and analysis on the modeled background, and judges whether the vehicles run the red light. By the method and the system, the background can be rapidly and exactly updated; the accuracy and adaptability of red light running detection can be improved; and the method and the system are suitable for various complex environments.
Owner:布法罗机器人科技(成都)有限公司

Method for determining contextual awareness in work site

A method for determining contextual awareness in a work site (13) comprises providing at least one environmental modeling device (EM) on or outside of a machine; arranging at least one tracking device (TA) on at least one of the machine or outside of the machine; data is acquired by at least one tracking device (TA) and by at least one environment modeling device. Furthermore, the method comprises receiving, by the at least one position determination unit (PDU), data relating to the at least one tracking device (TA) and data relating to the at least one environment modeling device (EM), and determining, by the at least one position determination unit (PDU), the position and orientation of the machine in the work site (13) based at least in part on the received data.
Owner:NOVATRON

A method to improve the reliability of monocular vision localization through environment model integrity assessment

The invention discloses a method for improving the reliability of monocular visual positioning by evaluating the integrity of an environment model. First, an environment expression model is established; then the established environment expression model is evaluated for integrity; The completion of environmental modeling is judged, and the exploration is stopped when the requirements are met, thereby improving the integrity of the final environmental model data. The present invention improves the probability of correct data association under the environment model through a model with abundant environmental data, thereby improving the reliability of monocular vision positioning.
Owner:GUANGDONG UNIV OF TECH

AUV global path planning method based on quantum shark mechanism

The invention provides an AUV global path planning method based on a quantum shark mechanism. Environmental modeling is realized by adopting a multi-Lamb eddy current superposition technology and an obstacle grid equivalent technology. The AUV global path planning model comprises four parts of decision variable design, navigation cost design, constraint condition design and cost function design, fully considers the safety, high efficiency and reliability of the AUV navigation path, and has better practicability. According to the quantum shark optimization mechanism designed by the invention, the global path planning route of the AUV can be quickly obtained, the quantum shark optimization mechanism simulates the predation process of the shark and evolves the quantum state of the shark in combination with a simulated quantum revolving door, the convergence speed is high, the convergence precision is high, and the robustness is better. A simulation experiment proves the effectiveness of the AUV global path planning method based on the quantum shark mechanism, and compared with a traditional path planning method, the AUV global path planning method based on the quantum shark mechanism is higher in search speed and higher in precision.
Owner:HARBIN ENG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products