122 results about "Road crossing" patented technology

The invention belongs to the technical field of intelligent traffic, and particularly relates to a road intersection perception and scene understanding method combining a deep learning algorithm and a large language model, and the method comprises the steps: obtaining traffic visual data; performing deep learning target detection based on the traffic visual data to obtain an object corresponding to the traffic visual data, and recording related dynamic information to form a prompt label; based on a traffic monitoring image and a prompt label of a certain view angle of the intersection, scene description of a corresponding view angle of the intersection is obtained through processing of a large language model; and based on the intersection single-view scene description and the prompt label, enhancing the chained thinking fine-tuning large language model to obtain the traffic scene understanding and semantic description of the whole intersection.

The invention relates to the technical field of computer vision, and particularly discloses a road intersection detection method used in an optical remote sensing image, a road intersection detection model is constructed, the model takes Swin Transform as a backbone network to carry out feature extraction, deep fusion of local details and global context information is realized, and the detection accuracy is improved. A lightweight encoder structure and a structure perception matching mechanism are combined, so that the spatial feature modeling efficiency is improved, and meanwhile, the structure expression capability of target recognition is enhanced; and meanwhile, a structure semantic vector is introduced to participate in a joint matching loss optimization process, so that the target representation precision and the structure consistency are further improved, and the model is more stable in representation in a complex intersection detection scene. Compared with a traditional CNN detection method and a standard DETR model, the road intersection detection model constructed by the method is remarkably improved in the aspects of detection precision, structure distinguishing capability and robustness.

The invention discloses a traffic signal control method and system based on multi-source event and double-loop phase cooperation, and relates to the technical field of traffic signal control, a road intersection mathematical model is constructed, a double-loop phase structure is set, and multi-source sensing data is collected in real time; based on the multi-source sensing data, modeling an intersection traffic signal control problem by adopting a deep Q network model, defining a state space, an action space and a reward function, decomposing a double-ring phase structure, and performing cooperative control by a plurality of agents; the reward function is constructed based on a vehicle delay time difference, a waiting time difference, a parking frequency difference and a queuing length difference; the intelligent agents are controlled to execute actions based on rewards fed back to the intelligent agents by the environment, phase keeping or phase switching is determined, an optimal phase scheme of signal control is obtained, timestamp driving, multi-event coupling analysis and a double-ring phase structure are fused, and intersection signal timing optimization is achieved in combination with a deep reinforcement learning algorithm.

The invention relates to a vehicle safety control method, a vehicle and electronic equipment, and belongs to the technical field of vehicle safety, and the method comprises the steps: obtaining front multi-source sensing information, and judging whether a target pedestrian has a road crossing intention through a multi-mode intention prediction model based on the front multi-source sensing information; when it is determined that the target pedestrian has the intention of crossing the road, performing lateral risk identification based on the acquired lateral target motion data and pedestrian motion data to obtain a lateral risk level; performing rear risk identification based on the obtained rear target motion data to obtain a rear risk level; determining a comprehensive risk level based on a preset mapping relation according to the lateral risk level and the rear risk level; and according to the comprehensive risk level, performing control configuration on at least one of the vehicle exterior voice module, the vehicle exterior light module and the vehicle exterior interaction screen, and executing a corresponding vehicle exterior interaction control strategy.

The invention provides a construction method across a natural gas pipeline, which comprises the following steps of: 1, determining a protection scheme of a cover plate (4.8 m wide C30 prefabricated reinforced concrete plate with the two ends prolonged by more than or equal to 3m) and a steel trestle (5 spliced 32a I-shaped steel longitudinal beam with the limited weight of 70t), and completing pre-approval such as safety evaluation and circumferential weld detection; 2, the pipeline is explored through an artificial exploring groove, a 5m iron gauze and 10m hard isolation are arranged, and fine soil is backfilled to protect the pipeline; 3, adjacent pipeline pile foundations are subjected to rotary excavating construction, damping ditches are excavated, trial hoisting installation is carried out when the strength reaches 85% after cover plates are prefabricated, and steel trestle foundations, steel structures and guardrails are constructed step by step; 4, regularly monitoring the operation period of the trestle, and hoisting the components away from the pipeline range during dismantling; the method meets the requirements of multiple laws and regulations, can effectively control the disturbance of construction to the pipeline, and is suitable for the natural gas pipeline crossing engineering of highway bridges and shortcuts.

The application discloses a vehicle braking method, device, equipment and storage medium. In the process of driving a target vehicle, if the state of a traffic signal at a road intersection changes to prohibition of passing after a first preset time period, a first distance between the target vehicle and a stop line of the intersection is determined. If the first distance is not less than a first preset threshold, a first braking force is determined to brake the target vehicle. If the first distance is less than the first preset threshold, it is determined whether the rear wheel of the target vehicle can cross the stop line of the intersection within the first preset time period without changing the current speed. If yes, a continue driving signal is sent to the target vehicle. If no, a second braking force is determined to brake the target vehicle. The scheme can brake or pass the intersection in time when the vehicle encounters a limit situation, such as the traffic signal changing to prohibition of passing immediately, effectively reduces the phenomenon of vehicle running a red light, and can also avoid traffic accidents caused by the vehicle not reacting in time.

The invention relates to a method for keeping a road intersection (10) clear for a special emergency vehicle (12) and a control device for carrying out the method. It is provided that, based on route information received from a special operations vehicle (12), an intersection point with the route of the own motor vehicle (16) is determined and the own motor vehicle (16) stops at the intersection (10) corresponding to the intersection point and informs other road users about the approaching special operations vehicle (12) in order to keep the intersection (10) clear for the special operations vehicle (12).

The utility model relates to the technical field of road crossing supporting frames, in particular to a road crossing supporting frame for power grid construction, which comprises a positioning bottom plate, an upper end of the positioning bottom plate is fixedly connected with an electric push rod; the supporting mechanism is arranged above the positioning bottom plate; wherein the supporting mechanism comprises two sliding frames fixedly connected to the upper end of the positioning bottom plate, a supporting assembly is arranged between the two sliding frames, the lower end of the supporting assembly is connected with a positioning assembly, and a holding assembly is installed at the upper end of the supporting assembly; according to the highway crossing supporting frame for power grid construction, through the arrangement of the supporting assembly and the positioning assembly, the device can form a triangle through the supporting assembly, and due to the stability of the triangle, in the supporting process of the device, electric wires can be supported more stably; and the lower end of the movable frame can be positioned through the arranged positioning assembly, and the situation that the wire support shakes is avoided.

As shown in the reference diagram showing the state of use, this product is a panel for a protective fence installed at the boundary between a roadway and a sidewalk, and is spanned between posts and attached with bolts, nuts, etc. As shown in the reference diagram showing the state of use, this product is installed on conventional posts, making the fence higher than the post height, making it difficult for pedestrians to easily step over and climb over, thereby deterring dangerous road crossings and running out into the road.

Roadway intersection signaling solution is provided having systems and methods that can include a processor to identify a setting for roadway signaling. The setting can include predetermined phases to apply according to time intervals to control traffic objects at the intersection. The processor can identify data from a sensor on an object and an environmental condition at the roadway intersection. The processor can determine, based on the object and the environmental condition input into a machine learning (ML) model, a timing for the object to pass the roadway intersection. The processor can adjust, based on the timing for the object to pass the roadway intersection, the setting for signaling at the roadway intersection and generate an instruction to a signaling device at the roadway intersection based on the adjusted setting.

The utility model relates to the technical field of wiring wells, in particular to a municipal road crossing wiring well structure which comprises an original soil base layer, a foundation pit is formed in the surface of the original soil base layer, and a wiring well body is arranged in the foundation pit. The wiring well body comprises a supporting cushion layer, a water collection pit, an inner side well body, an outer side well body, a water collection groove, an iron grate, a fixing clamping groove, a water drainage pipe, a threading protection pipe, a waterproof coiled material layer and a waterproof coating layer, the inner side well body, the outer side well body and the supporting cushion layer are integrally poured through concrete, and the fixing clamping groove is formed in the inner side edge of the upper end of the outer side well body; a well cover plate is clamped in the fixed clamping groove; the wiring well body is provided with the inner layer and the outer layer, the wiring part is arranged in the inner side well body, the outer side well body plays a role in protection and prevents underground water from permeating, meanwhile, rainwater permeating from the upper side can be collected into the water collecting groove, and when the amount of rainwater permeates into the inner side well body, the rainwater can also be collected into the water collecting pit, so that the water collecting effect is improved. And the safety of the pipeline is effectively improved.

The invention relates to a road network perception charging station addressing planning method based on a reinforcement learning model, and the method comprises the following steps: collecting regional road data, constructing a road network diagram based on the regional road data, enabling nodes in the diagram to represent road intersections, enabling edges to represent connection roads, and setting the weight of each edge; constructing a candidate charging station set, wherein the candidate charging station set comprises a plurality of charging stations, nodes to which the charging stations belong and configuration parameters; a candidate charging station planning plan set is constructed based on the candidate charging station set, the candidate charging station set comprises all possible charging station combinations, and one charging station combination represents one charging station planning plan; and constructing a comprehensive utility function of the charging station planning plan and a corresponding constraint condition, and calculating an optimal charging station planning plan based on the reinforcement learning model and the comprehensive utility function.

This utility model discloses a rotary drilling rig for road crossing pile construction, belonging to the field of rotary drilling technology. It mainly includes an excavator with lifting support legs fixedly connected to its four corners. A rotary drilling guide mechanism is rotatably connected to the front end of the excavator. A hydraulic cylinder is rotatably connected between the excavator and the rotary drilling guide mechanism. The rotary drilling guide mechanism contains a telescopic mechanism, and a rotary drilling power mechanism is fixedly connected to the telescopic end of the telescopic mechanism. A drill rod fixing mechanism for quick drill body replacement is fixedly connected to the power output end of the rotary drilling power mechanism. The drill rod fixing mechanism is fixedly connected to the drill body. This utility model solves the problems of uneven ground during road crossing construction, making it difficult to ensure drilling verticality and entry angle. It is compatible with quick replacement of various drill bodies, including round and hexagonal drill rods, and can cover various geological drilling requirements common at road crossings, exhibiting strong versatility. This utility model is mainly used for processing road crossing pile holes.

This invention discloses a road intersection matching method that combines the topological relationships of adjacent features, belonging to the field of remote sensing image processing technology. It includes the following steps: extracting a set of road intersections from the semantic information of the entire city's features; calculating three topological vectors for each road intersection; finding road intersections in the road intersection set with the same number of adjacent categories as the road intersection to be matched, forming a candidate set of road intersections; calculating the three topological vectors of the road intersection to be matched; calculating the topological vector distance between the road intersection to be matched and each road intersection in the candidate set; finding the road intersection that minimizes the three topological vector distances; if two road intersections have the same number, the match is successful. This invention can fully utilize the semantic features and spatial distribution relationships of features surrounding road intersections to construct a matching model for road intersections, providing support for the fusion application of heterogeneous geographic data.

The embodiment of the invention discloses a traffic light control method and device based on joint simulation. A specific embodiment of the method comprises the following steps: acquiring a traffic flow video of a road intersection; performing bus identification on the traffic stream video to obtain bus identification information; in response to determining that an identification timestamp included in the bus identification information is in a time period of a corresponding green light phase and the bus running state represents a vehicle advancing state, determining a corresponding bus passing duration based on the bus identification information; in response to the determined time period when the bus passing duration exceeds the green light phase, determining a corresponding green light prolonged duration based on a preset maximum green light duration; in response to determining that the green light prolonged duration meets the delay condition, adjusting a green light phase according to the green light prolonged duration to obtain an adjusted green light phase; and controlling the corresponding traffic light according to the adjusted traffic light phase. The implementation mode can improve the overall traffic efficiency of the road network.

The application discloses a high-resolution remote sensing image road extraction method, which combines the shape rule and scale difference of the road to construct a double-task-driven deep convolutional neural network, wherein a main line task is road surface segmentation RSS, the encoding layer of which adopts residual convolution for feature extraction, and the decoding layer is composed of a multi-scale and multi-direction strip convolution module, and the output of the task line is the final extraction result in the paper. A branch task is road center extraction RCE, the input feature of which comes from the encoding layer of the RSS branch, and the intermediate feature will be integrated into the decoding layer of the RSS branch, so that the connectivity of the road surface segmentation result is improved by fully utilizing the road center line. In the experimental part, it is proved by means of the public data set that the method of the application is higher than the comparative method in the quantitative evaluation index, has obvious advantages in the heavy and difficult points such as road covering, road intersection and low-grade road, and has stronger model transplantation and small sample learning ability.

The invention provides a bus arrival sequence discrimination method and system based on a virtual path, and belongs to the technical field of intelligent buses, and the method comprises the steps: screening out a target vehicle according to the position of the vehicle; dividing the prediction area according to whether the target vehicle driving path passes through the road intersection; if no road intersection exists in the driving path in the prediction area, the total travel time of bus arrival is calculated according to the length from the target vehicle to the arrival deceleration area; if the road intersection exists in the driving path, respectively calculating the driving-in area travel time and the parking area travel time, and determining the total travel time by using the driving-in area travel time and the parking area travel time; the target vehicles of different routes are projected on the virtual path, the vehicle distribution position scale based on the total travel time is established, and the arrival sequence representing the target vehicles is obtained. On the basis of the method, the invention also provides a bus arrival sequence discrimination system based on the virtual path. According to the invention, high-precision time sequence prediction support is provided for bus scheduling and passenger service.

A computer-implemented method for classifying road intersections by means of GPS data, in particular from a plurality of vehicles in a fleet. The method includes: using existing GPS data points of vehicle movements, which were captured using GPS sensors of the vehicles at at least one road intersection; converting the captured GPS data points into a 2D contour by determining a center point of the road intersection and creating a polygon that represents a 2D contour of the road intersection; encoding the 2D contour of the road intersection using elliptic Fourier descriptors using a Fourier transform method and classifying the encoded data into different intersection types.

According to an aspect of an embodiment, operations may comprise accessing an HD map of a region comprising information describing an intersection of two or more roads and describing lanes of the two or more roads that intersect the intersection, automatically identifying constraints on the lanes at the intersection, automatically calculating, based on the constraints on the lanes at the intersection, lane connectivity for the intersection, displaying, on a user interface, the automatically calculated lane connectivity for the intersection, receiving, from a user through the user interface, confirmation that the automatically calculated lane connectivity for the intersection is an actual lane connectivity for the intersection, and adding the actual lane connectivity for the intersection to the information describing the intersection in the HD map.

The embodiment of the invention provides an intersection vehicle steering recognition method and device and a vehicle. The method comprises the following steps: obtaining an entrance lane angle of each entrance lane in a road intersection, position information of each signal lamp in the road intersection, navigation path information of the road intersection and track information of a target vehicle, the navigation path information comprises at least one road section required to pass through the road intersection; based on each entrance lane angle, the navigation path information and the position information, determining a corresponding relation table which is used for representing a corresponding relation between the road section and signal lamps in the road intersection; and based on the track information and the corresponding relation table, determining a target signal lamp in the signal lamps, the target signal lamp being used for controlling the passage of the target vehicle at the road intersection. The method is used for improving the recognition accuracy of vehicle intersection steering.

Method for controlling an automated vehicle (1) in the area of ​​a road intersection (SK) using data (D) acquired by means of an environment sensing sensor system (4), wherein - before reaching the road junction (SK), several future vehicle positions are determined as stop point candidates along a route preceding the vehicle (1) until reaching the road junction (SK), - for each of the stop point candidates a field of view (S) of the environmental detection sensors (4) is predicted taking into account a height profile of a road surface in the area of ​​the road intersection (SK), - the stop point candidate at which the environmental sensing sensors (4) have the largest field of view (S) is selected as the stop position (POS) of the vehicle (1), - at the stop position (POS) a vehicle environment is detected by means of the environment detection sensors (4) and - depending on a traffic situation determined from the data (D) of the environmental detection sensors (4), the vehicle (1) is automatically steered into the road intersection (SK), characterized in that - at the stop position (POS) the orientation of the vehicle (1) is changed by means of an active chassis (9) in such a way that the field of view (S) of the environment detection sensors (4) is maximized.

The present application relates to the technical field of roadbed construction, and discloses a connecting construction method of a highway assembled roadbed crossing a fill flood control dam. The assembled roadbed can be flexibly prefabricated according to the roadbed at the connecting part of the flood control dam of different shapes, and meanwhile, the connecting part is a relatively weak part, so prefabrication is carried out by using concrete or reinforced concrete, which can ensure the construction quality of the roadbed at the connecting part. Secondly, a reserved hole is arranged on the steel pipe pile, the fill flood control dam and the assembled roadbed on both sides, and the steel pipe pile, the fill flood control dam and the assembled roadbed on both sides are connected into a whole by using a prestressed anchor cable and an anchor device, so that the tightness of the connection between the roadbed and the flood control dam is improved, and the situation of road surface cracking caused by loose connection can be avoided. Finally, the prestressed anchor cable, after being tensioned, improves the tightness of the connection between the roadbed and the flood control dam, and together with the steel pipe pile, forms a steel framework in the fill flood control dam to improve the structural strength of the flood control dam.

In various examples, intersection points, which correspond to the positions where different lanes diverge, can be determined and used to assign (e.g., match) perceived lanes to corresponding mapped road segments. For example, the systems and methods of this disclosure can use perception data to determine the positions of intersection points where two or more lanes diverge, as well as to determine the lateral distances between adjacent lanes. Using the intersection points and / or the lateral distances, the lanes can be sorted into different lane groups, with each lane group potentially corresponding to a different road segment.In some examples, the systems can assign individual lanes or groups of lanes to corresponding road segments on a map, based on the intersection points that correspond to mapped road junctions and / or the lane geometry that corresponds to the mapped road topology.

The invention relates to an integral crossing plate and road joint settlement control method, which comprises the following steps: (1) roadbed treatment and steel slag water stable layer construction: compacting a roadbed at the bottom of a foundation pit, mixing steel slag and gravel according to a ratio, paving and compacting in layers, and forming a stable steel slag water stable layer; (2) foundation construction is conducted, specifically, a foundation bottom plate structure or a tower-shaped structure is adopted for foundation construction; (3) mounting the crossing plates: hoisting the whole crossing plates to the mounting positions, adjusting the levelness and the position relationship with the road joint, and welding and connecting two adjacent crossing plates by using a steel plate embedded part; and (4) transition section construction: carrying out transition section construction with a certain length between the pavement and the crossing plate. Sufficient and uniform basic rigidity is provided for the integral crossing plate and the crossing pavement, the rigidity difference of adjacent structures at the joint of the integral crossing plate and the road is effectively reduced, differential settlement is controlled, and the diseases such as bumping are reduced.

The present invention relates to a method and device for controlling a vehicle display system. To this end, the presence of a submerged roadway is detected when the vehicle is approaching and at a predetermined distance from the entrance or end of such a roadway. The display of augmented reality graphic content (40) is controlled to display this graphic content (40) on a display device (13). The graphic content (40) comprises an image (41) of a real scene located in front of the vehicle and a virtual graphic object (42) superimposed on the image (41). A graphic representation of the virtual graphic object (42) is a function of data relating to a tide calendar associated with the submerged roadway. Figure 4 (for the abstract)

A system, a method and a computer program product are provided to determine a left turn decision for a user or autonomous vehicle attempting to turn at an intersection of a road. For example, the system obtains contextual features and / or sensor data related to the intersection of the road. An optimal location on the road is determined for the user or autonomous vehicle to position the vehicle to make the left turn decision, based on the contextual features and / or the sensor data. A left turn risk factor is determined based on the location on the road for the user or autonomous vehicle to position the vehicle to make a left turn. An alert is presented to the user or autonomous vehicle regarding the left turn risk factor with a left turn advisory message.