10 results about "Intersection model" patented technology

The invention discloses a design and operation simulation method of a multi-ring low-altitude roundabout three-dimensional intersection. The method comprises the following steps: constructing a multi-ring low-altitude roundabout three-dimensional intersection model; defining operation rules of the multi-ring low-altitude roundabout three-dimensional intersection; an operation simulation environment is constructed, intersection parameters are set, and simulation parameters are set; a conflict detection and resolution algorithm based on trajectory pre-planning is adopted for simulation, and aircraft operation is simulated in real time. According to the method, by constructing the multi-ring concentric structure with the gradually-increased radius, traffic flows with different intentions are thoroughly separated in the physical space, and airway interleaving points and conflict bottlenecks are remarkably reduced. Meanwhile, the invention provides a simulation evaluation means for the operation performance of the intersection, and provides reliable technical support for urban low-altitude traffic network planning. The method can be widely applied to the field of low-altitude traffic control.

The invention relates to the technical field of digital path planning, in particular to a Grasshopper-based cylindrical workpiece surface track extraction and path planning method, which comprises the following steps of: acquiring parameters of a user-defined input end; establishing a parameterized two-workpiece intersection model based on the user-defined input end parameters; extracting an intersection track curve of the parameterized two-workpiece intersection model; carrying out point segmentation on the intersection track curve, and extracting to obtain an intersection point coordinate data list; calculating an intersection point coordinate data list, and calculating to obtain the displacement of each curve section along the X-axis direction, the rotation angle around the axis of the workpiece and the arc length on the YZ plane; and calculating and generating path tracking speed data of the surface track of the cylindrical workpiece by combining the tracking required speed, the displacement along the X-axis direction and the rotation angle and the arc length around the axis of the workpiece. According to the method, rapid and universal path planning is realized, and the path can be updated in real time only by modifying input parameters.

This application relates to a parametric generation method and system for the three-dimensional spatial form of urban buildings, belonging to the field of urban planning technology. The method includes: inputting a target spatial range and building layout parameters; generating building layout areas using a polygon segmentation algorithm; obtaining the two-dimensional base surface of the building to be generated using a maximum inscribed rectangle and orientation algorithm; obtaining building spacing buffers using a buffer algorithm; S5, obtaining the available remaining spatial range using a nine-intersection model algorithm; S6, repeatedly iterating the remaining spatial range to generate a set of all two-dimensional base surfaces of the buildings; performing three-dimensional extrusion on each surface of the set to generate a primary building model at LOD1 level; generating the three-dimensional geometry of the roof of each primary building model to obtain a building model at LOD2 level; applying textures and materials to the building model to obtain a building model at LOD3 level; and exporting the building model into a general three-dimensional model format. This application, through parameter-driven and intelligent iteration, can quickly generate three-dimensional building layouts and models that meet the requirements of the latest planning regulations.

The application relates to the technical field of automatic driving, in particular to an automatic driving decision-making method for a lane-constraint-free intersection based on proximal policy optimization, which comprises the following steps: a typical intersection model without signal control is constructed, and a lane-constraint-free driving area is arranged in the central area of the intersection; a driving function of an automatic driving vehicle is designed to guide the automatic driving vehicle to realize safe and efficient passing under the condition of lane constraint; a proximal policy optimization algorithm is designed to construct a policy probability density function, and an acceleration change and a steering angle change are obtained by sampling the policy probability density function, so that the automatic driving vehicle realizes lane-constraint-free driving and collision avoidance. The application can control the automatic driving vehicle to realize lane-constraint-free driving in the central area of the typical intersection without signal control, and effectively improves the space utilization and passing capacity of the central area of the intersection.

The application relates to a kind of intersection modeling and signal light control optimization method based on fuzzy neural Petri net, belong to traffic signal light control technical field.The application uses the attribute extension of only read arc and suppression arc attribute to the basic attribute of the directed arc of continuous Petri net, constructs intersection traffic flow and section model and intersection signal light model using the extended continuous Petri net;Second, introduce fuzzy Petri net, and extend the basic attribute of fuzzy Petri net transition, and construct intersection signal light fuzzy control model using the extended fuzzy Petri net;Third, by replacement operation, construct adaptive control intersection model based on continuous Petri net and fuzzy Petri net, realize signal light adaptive control.Compared with fixed timing scheme and optimization scheme considering only vehicle queue length, the evaluation index such as average time loss, average waiting time and total number of vehicles in phase time has advantages in improving intersection traffic capacity.

The invention relates to the technical field of automatic driving, in particular to a lane-constraint-free intersection automatic driving decision-making method based on near-end strategy optimization, and the method comprises the following steps: constructing a typical intersection model without signal lamp control, and setting a lane-constraint-free driving region in a central region of the intersection; designing a driving function of the automatic driving vehicle for guiding the automatic driving vehicle to realize safe and efficient passing under the condition of no lane constraint; a near-end strategy optimization algorithm is designed to construct a strategy probability density function, and the strategy probability density function is sampled to obtain an acceleration variable quantity and a steering angle variable quantity, so that the automatic driving vehicle is controlled to realize lane-constraint-free driving and collision avoidance. According to the method, the automatic driving vehicle can be controlled to realize lane-constraint-free driving in the typical intersection center area without signal lamp control, and the space utilization rate and the traffic capacity of the intersection center area are effectively improved.

The invention belongs to the technical field of intelligent traffic, and particularly relates to a holographic intersection-based traffic situation analysis system, which comprises side end equipment, a data access module, an intersection modeling unit, a data analysis module, a data storage module and an anomaly backtracking module. The side end equipment collects section flow, speed, queuing length, vehicle track and signal control data; and the data access module receives the information. The intersection modeling unit constructs a fine 3D digital model including lanes, stop lines, zebra crossings and other elements. And the data analysis module calculates a plurality of situation indexes such as intersection overflow degree, traffic imbalance index, congestion degree and the like based on the traffic data and the model. The data storage module stores traffic data, models and threshold exception records. And the abnormity backtracking module can backtrack the state before occurrence according to the abnormity record, support calling of monitoring videos, track data and situation results at corresponding moments, and assist in analysis of abnormity causes.

The information processing apparatus of the present invention infers the road shape of the road on which its own vehicle is traveling based on map information obtained from a map information unit and sensor information obtained from a sensor unit. The information processing apparatus includes: a sensor resolution characteristic management unit that manages the sensor resolution characteristics of the sensor unit corresponding to the distance from the vehicle's position to the point where the intersection shape changes; an intersection appearance prediction unit that predicts the appearance of the intersection corresponding to the distance based on the sensor resolution characteristics; and an intersection model generation unit that generates an intersection model based on the intersection appearance predicted by the intersection appearance prediction unit.

This invention discloses an automatic trimming method, system, medium, and device for self-intersecting models. The method includes: acquiring an initial bias model comprising multiple triangular facets; performing global self-intersecting detection on the initial bias model, selecting multiple self-intersecting facets from the multiple triangular facets, and determining the sets of intersecting line segments corresponding to each of the multiple self-intersecting facets; determining a set of regular facets to indicate redundant regions of the initial bias model based on the sets of intersecting line segments; dividing the set of regular facets into a set of valid facets and a set of redundant facets based on the multiple triangular facets; and trimming the initial bias model based on the set of valid facets and the set of redundant facets to obtain a target mesh bias model. This invention can improve the efficiency, accuracy, and trimming accuracy of self-intersecting detection.

Embodiments of the present application disclose a model automatic generation method and device, computer equipment and a storage medium. The method comprises: obtaining a sketch image used for generating a target model and a model map of the target model, the sketch image comprising at least two model views of the target model obtained from different viewing angles; creating a model plane corresponding to each model view in a three-dimensional space based on each model view; adjusting the relative positions of the model planes based on the viewing angles of each model view, so that the relative positions between the model planes match the relative positions of each model view on the target model; generating intersecting silhouette models in the three-dimensional space according to the relative positions of each model plane and each model plane, obtaining an intersection part of each silhouette model to form an intersection model; cutting the intersection model to determine the vertex texture coordinates of the cut intersection model; and rendering the corresponding model map on the surface of the intersection model based on the vertex texture coordinates to form the target model.