254 results about "Pedestrian road crossing" patented technology

The invention discloses a control method and system of an intelligent traffic signal lamp, electronic equipment and a medium, and relates to the technical field of data processing. The method comprises the following steps: acquiring a monitoring video of a target intersection; based on the monitoring video, determining traffic flow information and people flow information in a plurality of traffic directions in the target intersection; for each passing direction, based on the traffic flow information, calculating the traffic flow demand saturation and the vehicle passing demand proportion, and based on the pedestrian flow information, calculating the pedestrian crossing demand saturation of the passing direction; generating a traffic flow signal lamp distribution strategy of the target intersection in combination with the vehicle passing demand proportion of each passing direction, and generating a pedestrian flow signal lamp distribution strategy of the target intersection in combination with the traffic flow demand saturation and pedestrian crossing demand saturation of each passing direction; and according to the traffic flow signal lamp distribution strategy and the people flow signal lamp distribution strategy, controlling a plurality of traffic signal lamps in the target intersection. By implementing the technical scheme provided by the invention, the effect of improving the control efficiency of the traffic signal lamp is achieved.

The invention discloses an improved ST-GCN-based pedestrian intention recognition method for an automatic driving vehicle, and particularly relates to a method which is based on a space-time graph convolutional network ST-GCN, introduces an improved adaptive graph convolutional network in a spatial dimension, enhances a dependency relationship between arms and legs of a pedestrian, and enhances extraction of effective spatial features in pedestrian actions. According to the pedestrian intention recognition method, in the time dimension, multi-branch time convolution is adopted, the remote dependency relationship of pedestrian intentions is captured, the attention of a model to pedestrian channel information is improved, and the time change relation of the model to pedestrian actions is enhanced. The invention aims to quickly and accurately identify the street crossing intention of pedestrians, so that an advanced auxiliary driving system or an automatic driving vehicle can provide sufficient time for a driver to make a response or directly intervene in driving to prevent collision. The method is realized by the following steps of: 1, capturing a pedestrian video stream in a traffic scene through a vehicle-mounted monocular camera; 2, predicting pedestrian key points by using a human body posture estimation network, extracting coordinates of the pedestrian key points, and generating a pedestrian 2D skeleton structure chart; and step 3, fusing the adaptive graph convolution network and the multi-branch time convolution with the ST-GCN network to realize pedestrian intention recognition of the automatic driving vehicle. The method is suitable for pedestrian crossing intention recognition in an automatic driving vehicle scene.

The invention relates to the technical field of intelligent traffic control, in particular to a single-intersection signal lamp dynamic timing method and system based on holographic perception, and the method comprises the steps: collecting the information of a single intersection and surrounding traffic participants in real time through a multi-source holographic perception device, and carrying out the preprocessing, thereby obtaining a standardized traffic data set; based on the data set, combining vehicle, pedestrian and non-motor vehicle demand weights, constructing a traffic demand evaluation model, and calculating a demand priority coefficient of each entrance lane; constructing a signal lamp dynamic timing optimization objective function by taking minimization of intersection total vehicle waiting time, minimization of pedestrian crossing waiting time and maximization of intersection traffic volume per unit time as objectives according to the priority coefficient in combination with intersection traffic capacity constraint conditions, solving to obtain an optimal signal lamp timing parameter, and issuing the optimal signal lamp timing parameter to a control terminal; and traffic state feedback data of the intersection are collected in real time, and timing optimization is carried out again if the change exceeds a preset threshold value. The system can wait for a long time, improves the intersection passing efficiency, and relieves traffic congestion.

The invention discloses a pedestrian crossing tolerance time prediction method under a signal control condition. The method comprises the following steps: calculating a risk score of each pedestrian sample in a pedestrian crossing data set through a random survival forest model; carrying out tolerance grouping on the pedestrian samples by using a K-means clustering algorithm in combination with the risk score, and generating a data set of a plurality of tolerance; dividing the data set of each tolerance into a training set and a test set; a Stacking integration model is constructed; performing hyper-parameter tuning on each primary model through a Bayesian hyper-parameter optimization algorithm; inputting the training set into each primary model for training according to five-fold cross validation, and outputting a prediction result of each primary model; integrating the prediction result of each primary model and the true value of the tolerance time into a new training set and a new test set, inputting the new training set and the new test set into the meta-model, and outputting a corresponding tolerance time prediction value; and realizing tolerance time prediction of a single pedestrian through the trained Stacking integrated model. According to the invention, the accuracy of pedestrian crossing tolerance time prediction can be improved.

The invention is suitable for the technical field of traffic control, and provides a road section pedestrian crossing signal control method and system based on human and vehicle postures. The method comprises the following steps: acquiring instantaneous speed and position data of a head vehicle on each lane in front of a pedestrian crossing in real time, and calculating the maximum crossing time by combining the length of the pedestrian crossing and the type of a pedestrian; determining the length of the upstream and downstream judgment area of the pedestrian crossing based on the road design speed and the street crossing time; monitoring the number of pedestrians and the longest waiting time in the waiting area, and judging whether a first triggering condition is met or not by combining a reasonable waiting time threshold value and a capacity threshold value; judging whether a second triggering condition is met or not by comparing the theoretical driving time of the vehicle with the pedestrian crossing time in the judgment area; and when the first and second trigger conditions are met simultaneously, starting a pedestrian green light phase, otherwise, maintaining the current signal state. According to the invention, the waiting time of pedestrians and vehicles can be effectively reduced, and the intersection passing efficiency and safety are improved.

The invention provides a pedestrian intention reasoning method fusing scene interaction features and hierarchical temporal modeling, relates to the technical field of automatic driving, and solves the technical problems of low pedestrian intention prediction accuracy and generalization ability in the prior art. The method comprises the following steps: acquiring man-vehicle distance data, self-vehicle speed data and scene picture data; semantic segmentation is carried out on the scene picture data, and the object attribute of each pixel is identified and identified to obtain a segmented image, bounding box coordinates and pedestrian posture key points; the bounding box coordinate is the position of the pedestrian in the segmented image; extracting scene time sequence features in the segmented image; based on the bounding box coordinates, the pedestrian posture key points, the pedestrian-vehicle distance data and the self-vehicle speed data, pedestrian motion intention features in space-time correlation are extracted; and performing feature fusion on the scene time sequence features and the time-space associated pedestrian motion intention features by adopting a hierarchical temporal strategy, and predicting a pedestrian crossing intention result. The method is used in the pedestrian intention reasoning process.

The invention discloses a tunnel anti-crack maintenance system design method, an anti-crack maintenance system and a construction method, and the method comprises the following steps: design preparation: obtaining tunnel parameters and indexes, including tunnel length, construction progress, maintenance time requirement, pedestrian crossing spacing distance, ventilation facility installation condition, water supply facility installation condition, and temperature and humidity inside and outside a tunnel hole; determining the position of a sub-maintenance system; designing a ventilation device of the maintenance system according to the installation condition of ventilation facilities in the tunnel hole, including designing a ventilation pipeline line; a circulation device of the maintenance system is designed according to the installation condition of water supply facilities in the tunnel hole, arrangement design of a water circulation pipeline and a reclaimed water recovery device is included, and an arrangement diagram is drawn; calculating a turnover period and a turnover distance; a humidifying device is designed, the humidifying device comprises a humidifying material sheet made of a wet film, water is supplied to the humidifying device through a circulating device, and a ventilation device is used for humidifying external air through the humidifying device; and calculating the optimal wind speed and circulating water temperature.

The invention belongs to the technical field of traffic safety pre-warning, and provides a pedestrian zebra crossing pre-warning system device which comprises a mounting stand column, a monitoring assembly and a pre-warning assembly, a connecting base is arranged at the top of the front side of the mounting stand column, the monitoring assembly is arranged on the connecting base, and the monitoring assembly comprises an AI camera, a laser radar and a far infrared sensor. The early warning assembly comprises an electronic warning board, a laser transmitter and a laser spotlight; by comprehensively using various sensors such as the AI camera, the infrared sensor and the laser radar, pedestrians can be monitored and recognized from different angles and different modes, the accuracy of pedestrian recognition is improved, and the method is particularly suitable for pedestrian detection under complex weather and illumination conditions and has a wide application prospect. Through the synergistic effect of the laser spotlight, the laser curtain wall, the electronic warning board and the warning sound, early warning is performed on drivers and pedestrians from multiple aspects of visual sense and auditory sense, the early warning effect is enhanced, and the safety of the pedestrians crossing the road is improved.

The invention records a visual space-time pedestrian passing intention prediction method for automatic driving, and the method comprises the following steps: S1, extracting pedestrian motion time features, inputting the features into a bidirectional LSTM network, and outputting a time context coding vector; s2, constructing a spatial pyramid model and a time pyramid model; s4, weighting each level feature of the space-time pyramid model, splicing the weighted space features and time features to form spliced space-time feature vectors, summing the spliced space-time feature vectors according to levels, and outputting fused space-time feature vectors; and S5, establishing a classification network of a depth separable convolution and outputting a pedestrian passing intention probability value. Through joint modeling of the space-time pyramid model, the problem of space-time feature splitting is solved. The spatial features and the time features are respectively processed through a double-path attention module, a spatial attention weight and a time attention weight are output, and the feature discrimination capability of automatic driving in a complex scene is improved by adopting space-time attention weight fusion.

The invention discloses a V2X-based pedestrian and two-wheeled vehicle crossing early warning system and an early warning method thereof.An environment sensing module is arranged on a vehicle and used for collecting obstacle information Za around the vehicle and outputting fused obstacle information Za1; the vehicle-mounted communication module receives the obstacle information Za1 output by the vehicle environment sensing module, broadcasts and sends the real-time obstacle information Za1 detected by the vehicle through a V2X channel and receives the real-time obstacle information Za2 of other vehicles; the information processing module obtains obstacle information Za1 from a vehicle and obstacle information Za2 from V2X and judges the obstacle information Za1 and the obstacle information Za2 to obtain obstacle information Za3 fused with V2X information; and the vehicle body control module controls the vehicle according to the obstacle information Za3 fused with the V2X information. The pedestrian and two-wheeled vehicle crossing early warning system based on V2X and the early warning method thereof have the advantages that obstacle targets in a visual blind area can be detected in scenes such as a'ghost probe ', beyond-visual-range perception is achieved, and the traffic accident rate can be reduced.

The invention discloses an urban traffic tunnel and civil air defense system. The system comprises a traffic tunnel; the tunnel entrance is provided with a cleaning type air exhaust protection air-tight door and an air inlet and outlet closing door so that normal passage of the traffic tunnel can be ensured when the air-tight door is opened, a protection space is formed in the traffic tunnel when the air-tight door is closed before war, and meanwhile the cleaning type air exhaust protection air-tight door can be switched into a cleaning type ventilation mode or an isolation type protection mode. The traffic tunnel is provided with a temporary personnel masking area and a temporary material masking area; the pedestrian transverse cave and the vehicle transverse cave are each provided with a two-way stress protection air-tight door, normal passing is ensured when the two-way stress protection air-tight door is opened, and temporary personnel and materials are sheltered when the two-way stress protection air-tight doors are closed. Water pipes, cables and communication pipelines are reserved in the tunnel portal of the traffic tunnel, the pedestrian transverse hole and the vehicle transverse hole in advance. By means of the arrangement, the blank that domestic underground traffic tunnels give consideration to the field of civil air defense is filled, construction of underground traffic tunnel facilities gives consideration to the civil air defense requirement, and the urban comprehensive protection capacity is effectively improved.

The invention relates to the technical field of traffic lights, and particularly discloses a traffic light signal real-time dynamic adjustment processing method based on electronic police data, which comprises the following steps: acquiring traffic monitoring data of a target traffic light intersection, analyzing and processing the data, generating period-level basic flow data, and dynamically adjusting a traffic light signal scheme according to the flow data. Algorithm data only needs traffic flow collected by an electronic police, a front-end sensing device does not need to be additionally installed, data processing and calculation are directly carried out in an existing traffic light signal machine, a rear-end big data calculation server is omitted, and therefore zero investment of technology application is basically achieved. According to the technology, all traffic signals connected to a signal machine are dynamically adjusted in real time by changing the whole signal control scheme mode, and the technology comprises green light duration adjustment E1, release mode adjustment E2, variable lamp panel adjustment E3, variable lane adjustment E4, intersection induction screen adjustment E5, green wave scheme adjustment E6 and pedestrian crossing control adjustment E7, so that the maximum application scene is achieved.

The driving assistance device comprises a pedestrian crossing detection unit that detects the pedestrian crossing length ahead of the host vehicle based on imaging information from a camera, a lane width acquisition unit that acquires the lane width of the own lane, and a driving assistance unit that calculates the reference pedestrian crossing length based on the lane width and performs driving assistance when the pedestrian crossing length is shorter than the reference pedestrian crossing length.

The invention relates to a method of warning drivers about the presence of pedestrians on a pedestrian crossing. The technical result consists in increasing road safety. The appearance of each pedestrian on the pedestrian crossing is detected by a detector. The information, thus obtained, is analyzed by a control unit, and the location of the pedestrian on the pedestrian crossing is determined. Also provided is a viewscreen mounted above the pedestrian crossing over the entire width of the road, such that traffic is able to pass freely under it, and above sections adjacent to the crossing on both sides of the road. The information about the location of the pedestrian is transmitted from the control unit to the viewscreen in real time and is displayed on the viewscreen as a moving rectangle or a moving silhouette of the pedestrian.

The invention relates to a roadside pedestrian protection method, device and equipment, a medium and a program product. The roadside pedestrian protection method comprises the following steps: acquiring a pedestrian walking speed when a pedestrian walks along a pedestrian crossing and a vehicle driving speed corresponding to a target vehicle on a target lane associated with the pedestrian crossing; according to the vehicle running speed, determining vehicle running time corresponding to the target vehicle running to a first position of the pedestrian crossing; the first position is the position of a pedestrian crossing stop line of the pedestrian crossing in the passing direction of the target lane; according to the pedestrian walking speed, determining pedestrian walking time when the pedestrian walks to a second position of the pedestrian crosswalk; the second position is a preset position corresponding to the passing direction of the target lane in the pedestrian passing direction; according to the size relation between the vehicle driving time and the pedestrian walking time, generating indication information; the indication information is used for indicating whether the pedestrian safely passes through the pedestrian crosswalk. By adopting the method, the safety of pedestrian passing is improved.

The invention is applicable to the technical field of node deployment, and particularly relates to an edge sensing node deployment method and system in a deterministic network, and the method comprises the steps: drawing a traffic plane graph in a region, marking intersections, reading the duration of traffic light signals of each intersection, and enabling the intersections with the duration greater than a preset threshold value to serve as traffic light signals of the intersections; the intersection is defined as a high-flow intersection; the method comprises the following steps: acquiring pedestrian crossing monitoring videos at high-flow intersections in a single traffic light period, configuring a corresponding relation between pedestrian intervals and traffic light passing time, selecting standard time from the traffic light passing time, sorting all the high-flow intersections according to a sequence of the pedestrian intervals from small to large under the standard time, and storing the sorted high-flow intersections in the traffic light passing time; and obtaining an intersection people flow list. According to the invention, by determining to read the public service signal, network resources can be shared, the data traffic transmission burden can be reduced, the deployment position of the edge sensing node can be offset, the deployment cost is greatly reduced, and the deployment flexibility is improved.

The invention discloses a traffic safety early warning method for a pedestrian crossing and a related device, and relates to the technical field of intelligent traffic, and the method comprises the steps: carrying out the vehicle driving analysis through a radar echo signal based on multi-dimensional Fourier transform, and obtaining the vehicle driving information; performing face positioning and multi-layer filtering processing by using the plurality of frames of target images based on shielding analysis to obtain a target face set; based on the target face set, carrying out two-way people flow analysis to obtain two-way people flow data; performing pedestrian passing time prediction on the pedestrian crosswalk based on the two-way pedestrian flow data and the plurality of frames of target images; analyzing recommended driving information of the vehicle in the early warning area based on the pedestrian passing time prediction data and the vehicle driving information; and based on the recommended driving information, performing voice generation by using the voice token and rhythm analysis, and obtaining target voice information to perform passage early warning. According to the method, the recommended driving information of the vehicle can be accurately analyzed, so that more reliable passing early warning is provided for the vehicle and the pedestrian.

The present invention discloses an adaptive reversing lane system control method, including step 1, traffic flow data collection; step 2, calculating the saturation of the left-turn lane; step 3, calculating the maximum queue length of the left-turn lane; step 4, calculating the left-turn traffic flow ratio; step 5, left-turn lane reversal: when the calculated values ​​of step 2 to step 4 all meet the corresponding set thresholds, the left-turn lane reversal is started; step 6, main road pedestrian crossing control, control of variable zebra crossing passage timing. The present invention can adaptively start the reversing lane and the crossing guide device through video detection and dynamic analysis of the main road motor vehicle flow, the pedestrian and non-motor vehicle flow of the crossed road, while reducing the intersection phase and improving the motor vehicle traffic capacity, avoiding conflicts between motor vehicle traffic and pedestrian and non-motor vehicle crossing, and improving the flexibility and applicability of the reversing lane setting.

The present invention discloses a prefabricated lifting pedestrian crossing device and a construction method thereof, and belongs to the technical field of traffic engineering. The device comprises a base, and a pedestrian crossing assembly module and a ramp component are arranged above the base, and a plurality of the ramp components are connected to both sides of the pedestrian crossing assembly module; the pedestrian crossing assembly module comprises a convex assembly component and a concave assembly component, the convex assembly component comprises a lap block, the concave assembly component comprises a lap groove, the lap block is adapted to the lap groove, and a plurality of convex assembly components and a plurality of concave assembly components are interlocked and connected with each other through the lap block and the lap groove; the ramp component comprises a lap block, and the lap block of the ramp component is interlocked and connected with the lap groove of the concave assembly component. The present invention can effectively reduce the speed of motor vehicles, ensure the safety of pedestrians crossing the street, has a simple structure, fast construction speed, and convenient disassembly and maintenance, and can be widely used in sections with large pedestrian flow.

The present application relates to the technical field of intelligent traffic control, and more particularly to a single intersection signal lamp dynamic timing method and system based on holographic perception, comprising: real-time collection of single intersection and surrounding traffic participant information through multi-source holographic perception equipment, preprocessing to obtain standardized traffic data set; based on the data set, combining vehicle, pedestrian and non-motor vehicle demand weight, constructing a traffic demand evaluation model, calculating the demand priority coefficient of each entrance; according to the priority coefficient, combining the intersection traffic capacity constraint condition, taking the minimization of the total vehicle waiting time at the intersection, the minimization of the pedestrian crossing waiting time and the maximization of the intersection unit time traffic volume as the target, constructing a signal lamp dynamic timing optimization objective function, solving to obtain the optimal signal lamp timing parameters and issuing to the control terminal; real-time collection of intersection traffic state feedback data, and if the change exceeds the preset threshold, re-timing optimization. It can reduce waiting time, improve intersection traffic efficiency and relieve traffic congestion.

The invention discloses an intelligent traffic safety warning device and a method thereof, and belongs to the technical field of road traffic safety. The device takes curbs as carriers, and the curbs are divided into two types of intelligent curbs, namely pedestrian crossings and roadways, which are both provided with laser radar sensors and LED early warning modules. Dynamic parameters of pedestrians and vehicles are detected in real time, a central processing unit predicts data such as pedestrian and vehicle conflict time difference and carries out six-level danger division, corresponding early warning schemes are triggered, and two-way warning of the pedestrians and the vehicles is achieved through light color change, voice prompt and projection light. The device adopts a three-level energy supply system, can be suitable for complex scenes such as single-person single-vehicle and single-person multi-vehicle, and selects an optimal early warning strategy based on a maximum risk principle. Through dynamic perception, track prediction and graded bidirectional early warning, road section traffic safety can be improved, accidents are reduced, urban traffic intelligent development is expected to be promoted, innovative technical support is provided for smart city construction, and the method has important social value and application prospects.

The present application relates to the technical field of vehicle violation monitoring, and discloses a vehicle violation monitoring method and system based on a city monitoring pole, which comprises the following steps: a mapping relationship between image coordinates and world coordinates is established by a stop line and a feature point of a pedestrian crossing, a polar coordinate system with an entry corner point of the pedestrian crossing as a pole point is constructed, and an angular sector area is divided, and a detection zone is formed by limiting a height range. A time sequence of the first appearance of a pedestrian in the detection zone is extracted, a time difference value of adjacent angular sectors is calculated to obtain an angular gradient peak index and a maximum peak angular sector position. When the index exceeds a threshold value, a forensic judgment time window is generated according to the maximum peak angular sector; otherwise, a backup time window is used. The position of the front end of a vehicle relative to the stop line and the pedestrian occupancy rate of the entry area of the pedestrian crossing are detected in the time window and the angular neighborhood, and if the pedestrian occupancy rate reaches a threshold value and the vehicle position crosses the line, a violation is output, otherwise, no violation is output.

The invention provides a pedestrian passing intention prediction method based on cross-modal attention interaction, and the method comprises the steps: obtaining the speed information of a vehicle and the coordinate information of a human body bounding box, and obtaining the speed modal features of the vehicle and the coordinate modal features of the human body bounding box through a cross-modal attention interaction module; fusing the self-vehicle speed modal feature and the human body bounding box coordinate modal feature through a feature fusion module to obtain a fused feature; processing the fusion feature by using a Transform model to obtain a pedestrian passing intention score; and predicting the pedestrian passing intention based on at least the pedestrian passing intention score. According to the method, a cross-modal attention interaction module and a feature fusion module are adopted, complementarity and difference between different modal features are fully utilized to be fused into fusion features, after the fusion features are coded and decoded based on a Transform model, whether pedestrians pass through a predicted time node or not is judged through an output pedestrian pass-through intention score, and the pedestrian pass-through intention prediction accuracy is improved. And the prediction performance is improved.

The utility model relates to the technical field of road construction, in particular to a spraying mechanism of a line drawing robot, which comprises a frame, a running device, a main spraying device and a side spraying device, the running device comprises running wheel sets arranged on two sides of the frame, the main spraying device is arranged on the frame, and the side spraying device is positioned on the outer side of the running wheel sets. In practical application, spraying operation of road edges, narrow sidewalk boundaries or parking space lines in parking lots is often difficult to efficiently complete in a traditional mode due to space limitation. The side edge spraying device can be tightly attached to the road edge, so that the spraying range is flexible, and the spraying precision is precise. The side edge spraying device improves the operation efficiency and the spraying quality. And the time and cost consumption caused by manual adjustment or repeated spraying for covering the narrow edge area is reduced. According to the utility model, the limitation of the traditional spraying mode in narrow space operation is solved, and the spraying device has efficient and accurate spraying capability.

The invention relates to the technical field of behavior prediction, and discloses a pedestrian crossing prediction method and system based on multi-modal feature fusion, and the method comprises the steps: obtaining multi-modal input data in a current observation time window; obtaining a currently observed main modal time sequence feature based on the multi-modal input data, and constructing a condition vector; extracting future observation features of the main mode; inputting the condition vector and the future observation features of the main mode into a teacher network to obtain first potential distribution; inputting the condition vector and the prior potential vector into a student network, enabling second potential distribution output by the student network to approach the first potential distribution through KL divergence alignment loss, and refining the prior potential vector to obtain a refined potential vector; inputting the condition vector and the refined potential vector into a decoder, and outputting a pedestrian crossing prediction probability and a corresponding uncertainty measure; according to the invention, the problems of low prediction precision and poor robustness of an existing pedestrian crossing prediction mode are solved.

The invention relates to methods for providing a temporary crossing area (26) in a traffic area (10), in particular on a road (12), comprising the following steps: - Creating and sending a crossing request (30) for a traffic area (10), in particular a road (12), by a first road user (28), - Receiving the crossing request from other road users (34) in the vicinity of the first road user (28), - Creating a temporary crossing area (26) for the traffic area (10), in particular the road (12), and showing the temporary crossing area (26) to the other road users (34) until the first road user (28) has completed crossing the traffic area (10).

The present invention relates to a safety board system. The safety board system of the present invention is installed on a pedestrian crossing to assist individuals with reduced mobility in safely crossing the pedestrian crossing, the safety board system including: a pair of lift platforms that are formed on sidewalks on both sides of the pedestrian crossing; one or more shuttles that move along a predetermined travel path within a travel area set on the pedestrian crossing to travel back and forth between the pair of lift platforms and transport passengers to the opposite lift platforms; a driving device that moves the shuttles; and a control device that selectively operates the driving device. Therefore, the present invention can directly assist the movement of mobility disadvantaged persons crossing the pedestrian crossing, leading to rapid and safe crossing.

The present invention relates to a safety board system. The safety board system of the present invention is installed on a pedestrian crossing to assist individuals with reduced mobility in safety crossing the pedestrian crossing, the safety board system including: a pair of lift platforms that are formed on sidewalks on both sides of the pedestrian crossing; one or more shuttles that move along a predetermined travel path within a travel area set on the pedestrian crossing to travel back and forth between the pair of lift platforms and transport passengers to the opposite lift platforms; a driving device that moves the shuttles; and a control device that selectively operates the driving device. Therefore, the present invention can directly assist the movement of mobility disadvantaged persons crossing the pedestrian crossing, leading to rapid and safe crossing.

The present invention relates to a method (1) for illuminating a pedestrian crossing (3) that leads across a road (2), wherein an autonomously and / or manually controllable vehicle (4) which is travelling on the road (2) approaches the pedestrian crossing (3). According to the invention, during the approach of the vehicle (4) to the pedestrian crossing (3), a road user (5) intending to cross the road (2) is detected by the vehicle (4) using sensors, wherein, in response to the detection of the road user (5), the vehicle (4) projects a light image (6) onto the road (2) and, as soon as the vehicle (4) has stopped in front of the pedestrian crossing (3), at least sections of the pedestrian crossing (3) are illuminated by the vehicle (4) for the road user (5). The invention also relates to an illumination device (14) designed to carry out the proposed method (1) and to an autonomously and / or manually controllable vehicle (4) that has such an illumination device (14) or is designed to carry out the proposed method (1).

The disclosure provides a vehicle control method and device based on a high-precision map and electronic equipment, relates to the technical field of artificial intelligence, and particularly relates to the technical field of automatic driving, intelligent traffic and the like. The specific implementation scheme is: in a case where it is determined based on the high-precision map that a to-be-passed lane of a vehicle is bound with a safety island, a plurality of access areas bound with the safety island and a pedestrian crossing bound with each access area are acquired from the high-precision map, a target pedestrian crossing having an overlapping area with the to-be-passed lane is acquired from the plurality of pedestrian crossings, a target access area corresponding to the target pedestrian crossing is acquired from the plurality of access areas, and in a case where it is detected that a road surface distance between the vehicle and the safety island is less than a preset distance threshold, position information corresponding to the target access area is provided to the vehicle, so that the vehicle can perceive the target access area of the safety island based on the position information, and drive safely on the safety island based on a perception result, which is beneficial to safe driving of the vehicle.