161 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.

An approach is provided for automated detection and / or characterization of road intersections. The approach, for instance, includes determining a set of observables associated with a road intersection. The set of observables comprises a plurality of point observations of road boundaries of the road intersection, and the plurality of point observations are collected using sensors of vehicles traveling in the road intersection. The approach also involves processing the plurality of point observations to generate a triangular mesh to represent a surface of the road intersection. The triangular mesh comprises a plurality of triangles connecting the plurality of point observations as respective vertices of a plurality of triangles. The approach further involves selecting one or more branch triangles of the plurality of triangles. The vertices of the branch triangles reference three different road boundaries of the road intersection. The approach further involves automatically detecting the intersection based on the branch triangles.

Provided is a driving support device including: a side sensor configured to detect a target object existing on a lateral side of an own vehicle; and a control device configured to notify a driver of the own vehicle of existence of a target object approaching the own vehicle from the lateral side of the own vehicle when, at a time of entry of the own vehicle into an intersection, the target object exists and the target object is positioned in a notification target region. The notification target region is a region having a strip shape which is included in a road crossing a road on which the own vehicle is traveling or stopped, and which extends from the intersection in an extending direction of the road. The control device is configured to acquire a size of the intersection, and to determine a width of the notification target region in accordance with the size of the 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.

Provided are methods for turn signal assignment in complex maneuvers, which can include receiving position information associated with a position of a vehicle. Some methods described also include determining, hierarchically and based at least on the position information, whether to activate a turn signal of a vehicle prior to activation of the turn signal based on a turn of the vehicle at a roadway intersection. Some methods described also include determining a time to activate the turn signal prior to the turn of the vehicle at the roadway intersection. Some methods described also include transmitting a control signal to activate the turn signal at the determined time. Systems and computer program products are also provided.

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.

System, methods, and other embodiments described herein relate to improving the safety of pedestrians at a road crossing. In one embodiment, a method includes acquiring sensor data about a pedestrian and a vehicle in surroundings of a road crossing. The method further includes identifying an intention to cross the road crossing of the pedestrian and a driving behavior of the vehicle. The method additionally includes determining a safety condition for the pedestrian to cross the road crossing based, at least in part, on the driving behavior. Moreover, the method includes controlling at least one lighting mechanism of the road crossing according to the safety condition.

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.

Disclosed are techniques for drive trajectory prediction. In one or more aspects, an ego vehicle applies a machine learning model to one or more agent tensors and one or more map tensors associated with a target vehicle to obtain a predicted drive intention of the target vehicle at a roadway intersection, wherein the predicted drive intention comprises a turn classification, a. flow classification, or both, and a driving maneuver based on the predicted drive intention.

The present invention discloses an integrated rainwater infiltration and drainage system for sponge cities, which is applied to replace rainwater grates at road intersections and relates to the technical field of urban drainage. Specifically, it includes an infiltration and drainage group, a storage and regulation group, and a discharge box that are vertically arranged from top to bottom. The infiltration and drainage group includes a cover for blocking debris on the road surface, an infiltration and drainage box arranged below the cover, and a permeable layer arranged inside the infiltration and drainage box. The storage and regulation group includes a water storage capsule, a main root pipe, and several capillary root pipes. The system of the present invention intercepts debris on the road surface through the infiltration and drainage group to prevent it from flowing into the sewer pipe and forming a blockage. The rainwater flowing into the infiltration and drainage box penetrates through the permeable layer and adsorbs particulate matter. When it penetrates into the water storage capsule in the storage and regulation group and causes it to expand and store water, when the top of the water storage capsule expands and contacts the bottom of the infiltration and drainage box, it will reverse-pressure the water to drain downward into several main root pipes and seep into several capillary root pipes, reducing the pressure of rainwater infiltration and drainage on the sewer, alleviating waterlogging, and reducing rainwater pollution at the same time.

Disclosed are techniques for drive trajectory prediction. In one or more aspects, an ego vehicle applies a machine learning model to one or more agent tensors and one or more map tensors associated with a target vehicle to obtain a predicted drive intention of the target vehicle at a roadway intersection, wherein the predicted drive intention comprises a turn classification, a flow classification, or both, and a driving maneuver based on the predicted drive intention.

The present invention relates to a method comprising a data processing device determining whether a mobile robot road crossing is performed automatically and autonomously by the mobile robot or operator-based. The present invention also relates to a method comprising indicating that the mobile robot will cross a road. The present invention also relates to corresponding mobile robots, systems and uses.

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.

The utility model relates to a concrete platform plate and a level crossing, and the concrete platform plate comprises a reinforced concrete prefabricated plate, angle steel, hook nails, a hoisting sleeve, a guide steel plate and anchoring steel bars, marking points are arranged at the two ends of the longitudinal center line of the top face of the reinforced concrete prefabricated slab, and a lifting sleeve is embedded in the side surface. The periphery of the reinforced concrete precast slab is sealed by angle steel, and the angle steel is welded to form a frame, pre-buried in the surface of the reinforced concrete precast slab, flush with the surface of the reinforced concrete precast slab and welded and fixed to the reinforced concrete precast slab through hook nails. Anchoring steel bars are pre-buried in the reinforced concrete prefabricated slab, guide steel plates are pre-buried on the side surface, and the guide steel plates are flush with the surface of the reinforced concrete prefabricated slab and fixed to the anchoring steel bars in a welded mode. The concrete platform plate designed by the utility model can be suitable for crossings with various lengths and widths, adopts a prefabricated structure, is manufactured into a high-strength platform plate in a factory, solves the problem that the traffic is seriously influenced due to long construction period of the existing cast-in-place, and realizes the purpose that the pavement and traffic are realized during the construction.

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 present invention relates to the technical field of port engineering, and specifically relates to a rain and sewage collection system applied to wharves and approach bridges. The system includes: a wharf, an approach bridge, a drainage ditch, a wave break wall, a drainage culvert, a gate, and a regulating pond; the drainage ditch is an open drainage ditch or a shallow drainage ditch. The system designs the elevations of the wharf and the approach bridge to slope towards the land area, and the elevation of the wharf surface is higher than the elevation of the land area. The sewage collection ponds on the wharf and the approach bridge in the traditional rain and sewage collection system are cancelled, and the rain and sewage are drained along the drainage ditch to the land regulating pond by the action of gravity flow; the drainage ditch adopts a covered open ditch or a structure without a cover. The drainage ditch without a cover is provided with a culvert at the road crossing section, and the drainage ditch on the approach bridge adopts a drainage culvert when passing through the wave break wall to avoid water overflow or environmental pollution. By proposing a rain and sewage collection system applied to wharves and approach bridges, the present invention reduces the cleaning difficulty and workload of the traditional rain and sewage collection system and improves the drainage safety guarantee of the port area.

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.

System, methods, and other embodiments described herein relate to improving communication of user intent at a road crossing. In one embodiment, a method includes acquiring sensor data identifying a blood flow in a brain of a user, determining whether the user intends on crossing a street based, at least in part, on the sensor data, and in response to determining the user intends on crossing the street, communicating an intent to cross using the accessory.

The invention relates to the field of automatic driving traffic flow control, in particular to an automatic driving travel conflict control method and system based on a crossing occupancy rate, and the control method comprises the steps: S1, taking a vehicle intersection at a fork crossing as a conflict control point; s2, delimiting a first control area and a second control area which take the conflict control point as the center; s3, if the front vehicle runs in the first control area at the preset speed and the rear vehicle enters the second control area, the speed of the rear vehicle is adjusted to the first speed, and the first speed is made to be smaller than the preset speed; if the front vehicle runs in the first control area at the preset speed and the rear vehicle running in the same direction as the front vehicle enters the first control area, the speed of the rear vehicle is adjusted to a second speed, and the second speed is smaller than the preset speed and larger than the first speed; the method can control the vehicle speed in advance according to the positions of the front vehicle and the rear vehicle, improves the traffic efficiency of the crossroad crossing, and reduces the collision risk.