42 results about "Pedestrian transport" patented technology

The invention discloses an intersection traffic violation total factor snapshot system based on multi-view collaboration, and relates to the technical field of intelligent traffic, and the system comprises a data collection and transmission module, a data preprocessing and splicing module, a data optimization and analysis module, a traffic violation judgment module, and a data storage and management module. According to the invention, through a panoramic video optimization unit in the data optimization and analysis module, the spliced panoramic video is deeply optimized, and tiny splicing traces or image local distortion generated in the splicing process is further eliminated, so that the panoramic video picture is clearer, smoother and more real, and high-quality image materials are provided for subsequent analysis; and the target in the video is accurately recognized through the image recognition and analysis unit, target feature information of vehicles, pedestrians and traffic signs and marked lines is extracted, traffic illegal behaviors can be more accurately judged based on the information, and the situations of misjudgment and missed judgment are reduced.

Semantic segmentation generally refers to a machine learning process that associates a label or category with every pixel in an image. This can be used to recognize a collection of pixels that form distinct categories of objects, which may have applications in autonomous driving for example where the vehicle needs to identify other vehicles, pedestrians, traffic signs, pavement, and other road features from captured images of a surrounding environment. While using pixel-level annotations may be ideal for fully-supervised training of the semantic segmentation model, collecting such annotations is time-consuming and expensive, and therefore limits the scalability and practicality of fully-supervised training methods. The present disclosure enables weakly supervised training of a semantic segmentation model aided by learned prompts embedded with semantic knowledge.

To improve convenience by reducing frustration of pedestrians in information provision for pedestrian traffic safety.SOLUTION: A roadside device includes: a communication unit that transmits and receives information; an imaging unit that captures an image of a pedestrian; an output unit that outputs information for the pedestrian; and a control unit that transmits to a vehicle first information indicating approach of the pedestrian to a roadway based on a captured image and thereafter outputs second information for attracting the attention of the pedestrian to the vehicle.SELECTED DRAWING: Figure 1

The utility model provides an intelligent pedestrian traffic passing device which comprises two mounting racks, a mounting base, a speed bump and a pressure sensor, the upper ends of the two mounting racks are both provided with rain shelters, the left and right sides of the lower ends in the two rain shelters are both provided with pedestrian detectors in a suspended mode, the mounting base is mounted on the left side of a zebra crossing through bolts, and the pressure sensor is mounted on the mounting base. Spring limiting frames are fixed to the left end and the right end of the interior of the mounting base, a plurality of reset springs are mounted in the two spring limiting frames at equal intervals from front to back, and the design solves the problems that in an original device, when an automobile passes through a deceleration strip, no pedestrian exists, traffic lights can be turned on, then the automobile waits for no reason, and time of people in the automobile is wasted; the traffic light is good in practicability, when an automobile passes through the deceleration strip, the pedestrian detector scans the zebra crossing, if no pedestrian is scanned, the traffic light is normally closed, so that the automobile can drive away conveniently, and if the pedestrian is scanned, the traffic light is turned on for timing, so that the pedestrian can walk conveniently.

The invention discloses a safety warning device and method for pedestrians in a campus, the safety warning device comprises a supporting framework, a foundation device, a safety warning device, a vehicle speed display device, an environment sensing device and a control unit, the safety warning device is composed of a warning lamp assembly and a sound warning assembly, and the vehicle speed display device is composed of two display screens. The environment sensing device comprises two visual sensors and a mechanical rotation scanning type laser radar, and the control unit adopts an STM32 single-chip microcomputer. The beneficial effects are that the system is simple in structure, convenient to install, low in cost, convenient to maintain, concise in control logic, mature in fusion sensor technology and low in environmental perception requirement, can detect vehicles and pedestrians in a campus, can warn the pedestrians, can display the vehicle speed, can warn vehicle drivers, and is suitable for popularization and application. And the traffic safety of pedestrians in the campus is fully guaranteed.

Disclosed is a traffic light signal analyzer / controller which measures and analyzes the status (on, off, or blinking) of the green and red lights of a pedestrian traffic light head by means of an optical measurement sensor, transmits a device control signal, and transmits traffic light failure information to a management server, and thus improves convenience and economic feasibility.

Systems, devices, and methods for pedestrian footfall counting are provided. The system includes a plurality of pedestrian footfall counting devices configured to capture and record optical data of pedestrians. The system further includes one or more relay servers configured to receive the optical data from the pedestrian footfall counting devices. The system further includes one or more counting servers configured to process the optical data and determine a pedestrian footfall count based on the optical data.

The utility model belongs to the technical field of baffles, and particularly relates to a building construction detachable dust fall protection baffle which comprises a baffle body. A suction pipe and a suction head above the suction pipe are additionally arranged on one side of the baffle, a traditional water mist dust falling mode is replaced, and water mist cannot affect pedestrians outside the baffle. A filter screen is arranged in the suction head to filter dust, and a side box for storing and wetting dust is arranged on the side, close to the baffle, of the suction pipe. A traditional water mist dust falling mode is replaced, the situation that water mist affects pedestrians outside the fence is avoided, the stability of pedestrian traffic outside the fence is ensured, and the fence is suitable for being used in urban areas and other areas with the large pedestrian flow rate.

A system and method are provided for location-targeting the provision of media distributed by a mobile platform. The method provides a mobile platform with an attached media projection subsystem, and an identifier associated with the media projection subsystem. The media projection subsystem is selectively enabled, the geographic location of the mobile platform is determined, and the identifier and the enablement of the media projection system are verified. Verification information, including the mobile platform (media projection subsystem) location, identifier, and enablement of the media projection subsystem is communicated to a server and stored in a non-transitory memory. A targeting application may direct the system to a target location in cooperation with analyzing the verification information, weighted for factors such as proximate vehicular traffic, line of sight, proximate pedestrian traffic, proximity to cultural events, proximity to cultural facilities, the time of day, and the length of time the media is being projected.

The utility model discloses an intelligent pedestrian crosswalk line safety prompt system, which comprises an information projection module, a display module and a control module which are arranged at a road pedestrian crosswalk line, and a detection module which is arranged in an upstream motor vehicle lane of the road pedestrian crosswalk line, the detection module, the information projection module and the display module are all in communication connection with the control module; the detection module is used for detecting whether a vehicle passes and generating a vehicle detection signal; and the control module is used for generating a control signal according to the vehicle detection signal so as to control the information projection module to project information to the ground and control the display module to display the information. The system is suitable for pedestrian crossing places without signal lamp control, has a good reminding effect on pedestrians, can effectively improve the pedestrian traffic safety at pedestrian crossing lines, and can solve the problem that in the prior art, pedestrian crossing lines of road sections are insufficient in reminding for pedestrians, so that the occurrence rate of pedestrian-vehicle conflicts and traffic accidents is remarkably reduced.

The invention relates to a method for controlling active particulate filter regeneration of a particulate filter (20) in a motor vehicle (10), comprising the steps of: starting active particulate filter regeneration when the particulate filter (20) reaches a predetermined threshold; if active particulate filter regeneration is already in progress and the motor vehicle (10) is traveling in one direction on a multi-lane road (40, 42, 46) within a built-up area; checking which of the lanes (40, 42, 46) is furthest from the largest crowd (50) or an infrastructure area for pedestrian traffic and / or pedestrian access; and then autonomously or semi-autonomously changing to this lane (40), or at least suggesting it, provided the motor vehicle (10) is not already on this lane (40);If active particulate filter regeneration is not currently being carried out, but becomes necessary, and it is detected that there is a crowd of people, an infrastructure area for passenger traffic and / or a gathering of people, or a traffic jam within a predetermined distance along the currently traveled route: suppress active particulate filter regeneration until the crowd of people, the infrastructure area for passenger traffic and / or a gathering of people, or the traffic jam has been passed, or determine an alternative route that bypasses the crowd of people, the infrastructure area for passenger traffic and / or a gathering of people, or the traffic jam, whereby active particulate filter regeneration is started when the motor vehicle (10) travels on the determined alternative route. Furthermore, the invention relates to a system (30) for carrying out such a method and to a motor vehicle (10) with such a system (30).

Embodiments include systems and methods for determining states of traffic lights and managing behavior of an automated vehicle approaching an intersection. An autonomy system applies an object recognition engine trained to recognize a traffic light, and identify and confirm the state of the traffic light. A first neural network trained for object detection recognizes a traffic light and defines a bounding box around the recognized traffic light. A second neural network receives the region of the image bounded by the box as constituting the traffic light and “reads” the light. The automated vehicle uses other information, such as states of pedestrian traffic lights, detection of objects in and near the intersection, and glare on one or more cameras, to supplement its determination of the right of way through the intersection. The autonomy system generates a driving instruction based on the traffic light combined.

In order to reduce the number of avoidance actions, a route setting server includes map information storage device for storing map information in which the passerby quantity information indicating a passerby quantity is associated with a traveling path on which an autonomously traveling object travels autonomously, traffic frequency distribution identification device for identifying a passerby traffic frequency distribution in a predetermined area in which the traveling object travels autonomously, map information updating device for updating the passerby quantity information of the map information, based on the passerby traffic frequency distribution identified by the traffic frequency distribution identification device, and route determination device for determining a target route for the traveling object to travel based on the map information.

The application relates to the field of automatic driving. A pedestrian crossing intention recognition method based on multi-source information fusion is characterized by comprising the following steps: step one, pedestrian traffic feature extraction: according to the classification of people-vehicles-roads, features obviously affecting the recognition of pedestrian intention are screened out, including road environment features, traffic features and pedestrian behavior data features, and a pedestrian traffic feature extraction model is constructed; step two, encoding all feature information extracted in step one: static, dynamic and time feature coding networks are respectively built to recode the extracted feature information, and deep information related to pedestrian crossing actions is obtained; step three, recognizing the pedestrian crossing intention through multi-feature fusion: a layered and step-by-step feature mixed fusion architecture is determined based on the correlation between feature coding and pedestrian intention recognition, an attention mechanism is introduced, a pedestrian crossing intention recognition network model is established, and the probability of the target pedestrian crossing action is calculated to judge the pedestrian crossing intention.

To generate a signal control parameter on which traffic states of both of a vehicle and a pedestrian are reflected.SOLUTION: An information processing device includes: an acquisition section for acquiring traffic data required for calculating a load factor of an inflow passage toward an intersection; and an information processing section for calculating a signal control parameter to be applied to the intersection based on the load factor calculated from the traffic data. The load factor includes the following vehicle load factor and the following pedestrian load factor. The vehicle load factor is a traffic index indicating a ratio of a vehicle traffic amount in the inflow passage to a saturation traffic flow rate. The pedestrian load factor is a traffic index indicating a demand degree of a pedestrian on traverse at the intersection.SELECTED DRAWING: Figure 3

The present invention provides a passage arrangement (10) in which pedestrian traffic arriving to and departing from public transportation stops are isolated from each other The present invention comprises three towers (22) and a walking plane (21), with at least two of the three towers having same helical arrangement, while the helical arrangement of one of the three towers is in the opposite orientation to that of said towers. According to at least one embodiment of the invention, to ensure that passengers accessing and leaving the stop are safely isolated, the two towers (22a) with the same helical arrangement are located at two ends, while the tower (22b) having the different helical arrangement is in the middle.

The invention relates to the technical field of pedestrian traffic safety, and discloses a pedestrian collision risk microscopic analysis method and system based on a multivariate Bayesian space model.The method comprises the steps that road pedestrian collision accident data are collected, accidents are divided into light injury, heavy injury and death, the accident data are screened, and accident feature data are extracted; the number of people is detected in real time through monitoring data, and real-time pedestrian data in two directions of a road are obtained; road static information and road dynamic information are obtained, and road feature data and traffic feature data of a road are extracted respectively; and constructing a multivariate Bayesian space model, and evaluating the road pedestrian collision risk based on the pedestrian data, the road feature data and the traffic feature data. According to the method, the accident feature data, the road feature data and the traffic feature data are extracted, the real-time pedestrian data are combined, the multivariate Bayesian space model is used for analysis, and the road pedestrian collision risk can be comprehensively and meticulously evaluated.

The application discloses a kind of mixed traffic flow under the method for analyzing the conflict between man and vehicle of no-signal pedestrian crossing, comprising: obtaining the conflict simulation model parameter corresponding to the no-signal pedestrian crossing of the analyzed pedestrian crossing;Respectively, construct pedestrian crossing behavior model, traditional vehicle behavior model and automatic driving vehicle behavior model, and obtain the conflict simulation model based on pedestrian crossing behavior model, traditional vehicle behavior model and automatic driving vehicle behavior model;The conflict behavior between man and vehicle of no-signal pedestrian crossing is extracted using the conflict simulation model between man and vehicle, and the severity of the extracted conflict behavior between man and vehicle is evaluated.The application is of great significance to guarantee the safety of pedestrians at no-signal crossing after the deployment of autonomous vehicles.

This disclosure is directed to a wheelchair access ramp for wheelchair and more generally pedestrian traffic. The wheelchair access ramp generally includes a base layer adapted for placement of the access ramp, an adhesive layer applied to the base layer, the adhesive layer 16 includes a polyol and activating agent mixture, the adhesive layer being effective in adhering to base layer 12, a grit material residing at least partly within an exposed surface of the adhesive layer to provide a slip-resistant surface.

1. Name of the product in this design: Weighing-type pedestrian transport vehicle. 2. Application of this design: for pallet handling, weighing, manual electronic scale handling vehicle, handling vehicle with electronic scale, with main specifications of 2T, 2.5T, 3T load capacity, etc., and all main accessories are of superior quality. It can weigh goods and also has calculation functions, print documents, Bluetooth, external storage, animal weighing, etc. 3. The key design features of this product are the combination of shape and pattern. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The application relates to the field of data analysis, in particular to a pedestrian warning method and device, a storage medium and an electronic equipment, which solve the problem that in the prior art, at a road intersection without a traffic light, a pedestrian traffic danger cannot be predicted in advance in combination with the behavior characteristics of the pedestrian. The method comprises the following steps: acquiring eye data, age data and distance information between the pedestrian and a target object of the pedestrian; inputting the eye data, the age data and the distance information into a pre-established judgment model to obtain a standard safety distance; and outputting warning information in the case that the distance information is less than the standard safety distance.

A pedestrian traffic behavior recognition system and method based on posture estimation relates to the field of big data recognition, including: an acquisition module, an analysis module, an output module and a server. Based on posture estimation technology, posture key points are combined with torso vectors to match scattered key points into independent people in a bottom-up matching manner. The posture information of an indefinite number of people within the field of view can be recognized. The function of obtaining pedestrian posture coordinates by a posture estimation network is used to obtain the posture coordinates of pedestrians over a period of time in a large amount of traffic video data, and the current behavior is marked. A behavior recognition network with time series analysis capabilities is trained to realize the recognition of pedestrian behavior, and the prediction capability of the time series analysis network is used to predict the behavior of pedestrians to a certain extent in advance, so as to more timely discover and warn traffic violations, thereby solving the problem of the lack of understanding and prediction capabilities of pedestrian behavior in current visual target detection solutions.

To improve a technique for traffic light control at crosswalks.SOLUTION: A traffic light control device includes a communication unit and a control unit. The communication unit acquires detection results obtained by detecting moving bodies for a plurality of areas to be detected around crosswalks including the crosswalks. The control unit recognizes a combination of presence / absence of moving bodies for each area included in the plurality of areas based on the detection results acquired by the communication unit, and controls pedestrian traffic lights and vehicle traffic lights based on the combination.SELECTED DRAWING: Figure 4

A controller (20) acquires a captured image of an area in front of a host vehicle (80), acquires host position information relating to the position of the host vehicle (80), and acquires map information including traffic signal position information relating to the positions of a vehicle traffic signal (90) and a pedestrian traffic signal (92). The controller (20) detects a preceding vehicle (81) by using a surroundings detection sensor (13) mounted on the host vehicle. The controller (20) then sets the inter-vehicle distance between the host vehicle (80) and the preceding vehicle (81), and causes the host vehicle to travel while following the preceding vehicle on the basis of the set inter-vehicle distance. When doing so, the controller (20) causes the inter-vehicle distance for instances where the vehicle traffic signal (90) within the captured image is blocked by the preceding vehicle (81) and is not recognized, and where the pedestrian traffic signal (92) within the captured image is recognized, to be set to an inter-vehicle distance that is within a range in which the pedestrian traffic signal (92) can be recognized and is less than the distance for instances where the vehicle traffic signal (90) can be recognized in the captured image.

The invention relates to a vehicle driving assistance device, a vehicle driving assistance method, and a program therefor. A driving assistance device includes: a first pedestrian recognition unit that recognizes a pedestrian in front of a vehicle on the basis of image data acquired by a front camera; a second pedestrian recognition means for acquiring pedestrian information specifying the position of the pedestrian from a terminal device carried by the pedestrian by means of communication; a notification device capable of performing a notification operation for notifying the presence of a pedestrian; and an ECU that controls the notification device. When the vehicle is approaching the intersection without traffic lights, the ECU acquires, as a pedestrian traffic volume, a value corresponding to the number of pedestrians crossing the intersection on the basis of the recognition result of the first pedestrian recognition unit. When the pedestrian traffic volume is equal to or less than the first threshold value, the notification device is caused to execute a notification operation when it is determined that an attention-attracting condition is satisfied on the basis of the pedestrian information. When the pedestrian traffic volume is greater than the first threshold value, the second pedestrian recognition unit is not caused to communicate and the notification device is not caused to execute the notification operation.

The present invention proposes a mobile roadside pedestrian traffic conflict monitoring and early warning device and method, which belongs to the field of road traffic safety technology; it comprises a chassis; a visual recognition unit, which is arranged below the chassis and faces the direction of a blind spot, and is used to obtain an image of the blind spot, identify and obtain motion trajectory information of a target in the image; a main control unit, which is arranged in the chassis and is communicatively connected with the visual recognition module, and is used to receive the motion trajectory information of the target in the image obtained by the visual recognition module, and generate a warning instruction when it is judged that the target enters a preset conflict area; an RGB warning unit, which is arranged on one side of the chassis, has one end hinged with the chassis, and the other end extends horizontally toward the top of the road on the side facing the motor vehicle, and the RGB warning unit is communicatively connected with the main control unit, and is used to receive the warning instruction and display it to the vehicle driver; a system power supply unit, which is arranged above the chassis and is used to provide a working power supply.

The application discloses a kind of adaptive signal control methods of pedestrian traffic, comprising the following steps: S1: obtaining each time period pedestrian traffic flow in each import direction and real-time pedestrian traffic flow on zebra crossing;S2: generate data matrix according to historical pedestrian traffic flow;S3: using time series prediction method, generate data matrix according to the data matrix;S4: the time series clustering of obtained prediction data matrix is carried out, and the optimal clustering point is obtained, to obtain all classification number and classification sequence;S5: calculate the prediction data matrix after classification, obtain predicted pedestrian traffic flow;S6: calculate pedestrian crossing time, combine predicted pedestrian traffic flow and pedestrian crossing time, set the signal light control time of each time period each direction;S7: the end time of each time period green light, compare real-time pedestrian traffic flow with predicted pedestrian traffic flow, adjust signal light control time according to comparison result;After real-time detection green light ends, according to whether there is stranded pedestrian on zebra crossing, compare prediction data with real-time data, selectively extend green light time, sufficiently meet the demand of pedestrian traffic.

A congestion control system configured to guide pedestrians to balance congestion throughout areas of a controlled environment is provided. The congestion control system is operatively connected to a plurality of sensors and a pedestrian guidance device. The sensors are configured to capture measurements corresponding to pedestrian congestion levels at various locations within the controlled environment. These measurements are provided to a congestion control system. The congestion control system uses the measurements to determine pedestrian traffic flow at the various locations of the controlled environment. The congestion control system then uses the measured congestion levels and the determined traffic flow to determine a control command. The control command is provided to the pedestrian guidance device to configure the device to provide a guidance output to the pedestrians of the controlled environment to balance and / or reduce congestion.

The invention discloses a coal mine laneway automatic isolation fireproof door which comprises two isolation door frames arranged in parallel, vertical plates are fixedly arranged in the middles of the isolation door frames, a pedestrian transportation isolation door is rotationally connected to one side of each vertical plate, a transverse plate is fixedly connected to the side, away from the pedestrian transportation isolation door, of each vertical plate, and an isolation door above a floating groove is rotationally connected to the transverse plate; the vertical plate is rotationally connected with an upper isolation door of the rubber belt conveyor; a doorsill is fixedly arranged at the bottom of the isolation door frame and rotationally connected with a bottom isolation door. A middle isolation door is rotationally connected between the vertical plate and the isolation door frame. When a fire disaster occurs, closing actions of the pedestrian transportation isolation door, the isolation door on the upper portion of the rubber belt conveyor, the isolation door above the floating groove, the middle isolation door and the bottom isolation door are completed through the first pneumatic jack and the second pneumatic jack, and complete plugging is achieved at the connecting section where the rubber belt conveyor penetrates through the fireproof door. The sealing performance between the fireproof door and the rubber belt conveyor is improved, the risk of leakage and spreading of flames and poisonous gas is reduced, and the personal safety of underground operating personnel and the safety of a coal mine are guaranteed.