201 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.

The invention discloses a topological map construction method based on latitude and longitude information, which comprises the following steps: S1, collecting road nodes, important places and latitude and longitude information thereof in a target area through GPS (Global Positioning System) equipment, and providing basic data for subsequent map construction by the information; s2, preprocessing the acquired longitude and latitude data, including removing abnormal values, smoothing the data and ensuring the integrity and accuracy of the data; s3, analyzing longitude and latitude information by adopting a proper algorithm (such as a shortest path algorithm or a clustering algorithm), determining a connection relationship between nodes, and calculating a distance between adjacent nodes to form a basis of a road network; and S4, taking the important places and the road intersections as nodes of the map, taking the connected roads as edges of the map, and forming graph structure representation of the topological map. The attributes of each node comprise latitude and longitude information, a name and other related data; and S5, displaying the constructed graph structure as a topological map by using a visualization tool, and providing visual geographic information display.

Provided are methods for autonomously navigating a road intersection by a vehicle, which can include determining a candidate trajectory for an autonomous vehicle to traverse a road intersection; identifying one or more additional vehicles in an environment of the autonomous vehicle; determining one or more predicted trajectories of the one or more additional vehicles through the road intersection; selecting at least some of the predicted trajectories based on a proximity between the candidate trajectory and each of the one or more prediction trajectories; determining, a precedence order based on the candidate trajectory and the selected trajectories; and causing the autonomous vehicle to traverse through the road intersection based on the candidate trajectory and the precedence order.

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.

Disclosed herein are systems and methods for predicting collision risk associated with a roadway intersection. The methods may comprise operating at least one processor to: receive map data and telematics data originating from telematics devices installed in a plurality of vehicles; identify, using the map data, one or more roadway intersections; determine, using the telematics data and / or map data, for each of the one or more roadway intersections, one or more roadway intersection metrics thereof; determine a hazard rating for each roadway of each roadway intersection; and generate a collision probability for each roadway intersection by inputting into a machine learning model the one or more roadway intersection metrics and the hazard rating of each roadway thereof, the collision probability representing a risk of collision for a vehicle traversing the intersection.

The invention relates to the technical field of urban traffic management, in particular to a prediction system and method based on traffic management, and the system comprises a data collection module, a data preprocessing module, a feature extraction module, a model construction module, a prediction analysis module and a management strategy making module. A sensor network is deployed at a traffic road section and a road intersection, traffic flow data under rain and snow weather conditions and during holidays and festivals are collected in real time, and then traffic flow prediction is performed through data preprocessing, feature extraction and a traffic flow prediction model based on a random forest algorithm. And the traffic flow density, the vehicle speed, the traffic bottleneck position and the potential congestion point can be accurately predicted. And based on the prediction result, a corresponding traffic management strategy is formulated and implemented, so that traffic congestion is effectively relieved, the traffic passing efficiency is improved, and the traffic safety is ensured. According to the invention, dynamic, accurate and intelligent traffic management can be realized, and the system is especially suitable for high-risk time periods such as special weather conditions and holidays and festivals.

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.

The invention relates to a street lamp energy-saving control method and system, a storage medium and an energy-saving street lamp, and relates to the technical field of illumination energy saving, and the method comprises the steps: detecting that a first passing vehicle enters a road intersection, and adjusting the brightness of the street lamp in the road intersection from a first brightness to a second brightness; acquiring first lane information and first steering lamp information of the first passing vehicle; according to the first lane information and the first steering lamp information, obtaining a lane prediction passage road and a steering lamp prediction passage road; if the lane predicted passage road is consistent with the steering lamp predicted passage road, adjusting the brightness of a street lamp on the lane predicted passage road from the first brightness to the second brightness; otherwise, predicting a passing road of the first passing vehicle according to the first driving track, and obtaining a track prediction passing road; and adjusting the brightness of the street lamp on the track prediction passage road from the first brightness to the second brightness. The street lamp has the advantages that safety of vehicles and pedestrians is guaranteed, and meanwhile energy consumption of the street lamp is reduced.

The invention provides a road intersection traffic signal control method LiteLight based on a reinforcement learning model. The road intersection traffic signal control method based on the reinforcement learning model comprises the following steps: acquiring a local state PTS of a road intersection at a specified time interval; wherein the local state PTS of the road intersection comprises local states PTS of all traffic signal phases of the road intersection; the reinforcement learning model generates a next traffic signal phase for the road intersection according to the local state PTS of the road intersection; and setting the traffic signal of the road intersection by using the next traffic signal phase.

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 invention provides a road slope calculation method and device based on a digital surface model, and aims to provide a road slope automatic extraction scheme suitable for a large area. According to the main technical scheme, the method comprises the steps of obtaining a first high-spatial-resolution digital surface model (DOM) and a first digital ortho-image map (DSM) of a research area; obtaining a first road surface vector and a first road center line vector according to the first DOM; breaking a line entity in the first road center line vector according to the road intersection to obtain a second road center line vector; performing node interpolation on the second road center line vector to obtain a third road center line vector; based on the third road center line vector and the DSM, determining a slope change point by using a moving average curve; breaking a line entity in the second road center line vector according to the grade change point to obtain a fourth road center line vector; and calculating the gradient of each line entity in the fourth road center line vector, namely the road gradient.

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 present application relates to the technical field of railway crossing traffic safety, and discloses an early warning method for railway crossings. The early warning method for railway crossings includes: when the head of a train passes through a fixed notification point, and when it is determined that the speed sensor, acceleration sensor, and distance sensor are working normally, obtaining multiple detection speeds and multiple detection accelerations of the train within a preset time length / preset distance; determining the real-time speed of the train according to the multiple detection speeds, and determining the real-time acceleration of the train according to the multiple detection accelerations; determining the current calculated distance between the dynamic notification point and the crossing according to the real-time speed and the real-time acceleration; obtaining the current actual distance between the train and the crossing, and after the current actual distance reaches the current calculated distance, starting the crossing early warning and the crossing closing process. The use of this early warning method can improve the efficiency and safety performance of the crossing. The present application also discloses an early warning device and control system for a railway crossing.

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 invention relates to the technical field of urban guardrail cleaning, and discloses an intelligent urban guardrail cleaning system and method, and the method comprises the steps: obtaining an urban road network, taking a road intersection as a node, taking a road section between two road intersections as an edge, building an urban road network model, adding an attribute label and a corresponding numerical value for each edge, the attribute label comprises a distance value, estimated passing time and cleaning times of the day; obtaining the remaining electric quantity, the remaining water quantity, the current position information and the destination information of all the cleaning vehicles; and according to the residual electric quantity, the residual water quantity, the current position information, the destination information and the attribute label of the cleaning vehicle, selecting a traveling route of the cleaning vehicle. By comprehensively controlling the residual electric quantity, the water quantity, the road attribute and the traffic condition of the cleaning vehicle, the cleaning efficiency is improved, and the waste of energy and water resources is effectively reduced; and through the early warning module, the power shortage condition can be recognized in advance, and cleaning interruption is avoided.

The utility model discloses a high-water-yield reverse osmosis table type purified drinking water system which comprises a raw water tank, a reversing valve, a booster pump, a reverse osmosis filtering module and a purified water supply module which are sequentially connected in series along a water outlet direction through a series pipeline. The interior of the raw water tank is divided into a raw water area and a wastewater buffer area. And a TDS detection module is in bypass connection with the series pipeline. The reverse osmosis filtration module is in bypass connection with a wastewater valve, and the wastewater valve is connected with a wastewater buffer area of the raw water tank through a pipeline; and a connecting pipeline of the wastewater valve and the wastewater buffer area of the raw water tank is also connected to the reversing valve through a water return pipeline bypass. The reversing valve is a three-way reversing valve or a four-way reversing valve and is provided with a first water inlet valve, a backflow valve and a water outlet valve, and the first water inlet valve is connected with the raw water area of the raw water tank through a throttling valve arranged on a first water inlet pipeline. According to the system, low-TDS water in the wastewater buffer area flows back and is reused by arranging the reversing valve with the backflow valve, so that the water production rate is increased.

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.

To appropriately predict a pedestrian's road crossing, considering the possible occurrence of unexpected road crossing.SOLUTION: A support control device comprises: an acquisition unit that acquires positional information of a plurality of user terminals; a specification unit that, on the basis of the history of the positional information of the plurality of user terminals, specifies, from the plurality of user terminals, a first user terminal and a second user terminal moving at an interval equal to or less than a predetermined value; and a support control unit that performs control related to support for traffic participants upon detection of a movement of one user terminal of the first user terminal and the second user terminal to the opposite side of the position of the other user terminal across the road.SELECTED DRAWING: Figure 8

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.