37 results about "Route recognition" patented technology

The invention provides a driving route recognition system and method, electronic equipment and a readable medium, and belongs to the field of intelligent driving. According to the processed original image and preset navigation information, navigation and road condition information guidance are provided for a driver or intelligent driving is provided for the driver, and according to the intelligent driving technology provided by the patent, an intelligent driving auxiliary system with the core target of solving driver navigation confusion under complex road conditions is constructed. Through deep fusion of high-precision visual perception and map navigation information, strong road identification judgment logic is utilized, when a driver actively requests or a system pre-judges needs, an intelligent driving module provides accurate vehicle control assistance, and clear navigation prompts are combined to jointly ensure that a vehicle safely and correctly passes through a complex road scene, so that the driving safety of the vehicle is improved. And the driving convenience and safety are obviously improved. Voice input is a key link of man-machine cooperation.

Systems and techniques are described for implementing autonomous control of earth-moving vehicles, including to automatically determine and control movement around a site having potential obstacles. For example, the systems / techniques may determine and implement autonomous operations of excavator vehicle(s) (e.g., obtain / integrate data from sensors of multiple types, and use it to determine and control movement of the excavator vehicle around a site), including in some situations to implement coordinated actions of multiple excavator vehicles and / or of an excavator vehicle with one or more other types of earth-moving vehicles. The described techniques may further include determining current location and positioning of the excavator vehicle on the site, determining a target destination location and / or route of the excavator vehicle, identifying and classifying obstacles (if any) along a desired route or otherwise between current and destination locations, and implementing actions to address any such obstacles.

The technology involves identifying suitable pickup and drop-off locations based on detected pedestrian walking paths. Mapped areas have specific physical configurations, which may suggest places to pick up or drop off a rider (or a delivery). A walking path heatmap can be generated based on obtained historical and / or real-time pedestrian-related information, which can be obtained by autonomous vehicles driving in areas of interest. Incorporating heatmap information into the evaluation, the system identifies locations for optimized pickup or drop-off in accordance with where pedestrians would likely go. One aspect involves classifying different objects, for instance identifying one or more objects as people who may be walking versus riding a bicycle. Once classified, information about the paths is used to obtain a the heatmap associated with the walking paths.

An object of the system according to the embodiment is to make it easy to record a route during mountain climbing or hiking, specify a place where animals and plants are captured, and grasp a real-time position of a group member.SOLUTION: A system includes a route recording part, an image authentication part, and a position grasping part. The route recording unit records a route along which the user has walked, a walking time, a captured photo (and a capturing location thereof), a comment, and a recording memo as a log. The image authentication unit authenticates the image of the animal or plant recorded by the route recording unit. The location grasping unit grasps the real-time locations of the group members recorded by the route recording unit.SELECTED DRAWING: Figure 1

The invention belongs to the technical field of computer data processing and intelligent traffic information processing, and provides a differentiated vehicle navigation method and system.The differentiated vehicle navigation method specifically comprises the steps that firstly, the traffic efficiency of a congested intersection is collected for a vehicle through a client, adjacent candidate routes are recognized from navigation, and parallel intersection nodes are recognized; and then calculating the following resistance of each parallel intersection node by combining the intersection passing efficiency of the traffic flow, and finally optimizing the main candidate route according to the following resistance of each parallel intersection node. A direct and computable mathematical basis is provided for traffic pressure bearing of parallel intersection node groups and pressure bearing balance optimization of adjacent candidate routes, and pre-allocation and differentiation induction are implemented on different vehicles at a navigation logic end, so that the vehicles avoid low-acceptance nodes and share high-pressure bearing nodes, a more stable and smoother traffic network is formed, and the traffic load of the vehicles is reduced. Especially, the same performance of a network at an expressway intersection can be effectively shared. And the queuing length and delay of the hotspot intersection in the peak period are obviously reduced.

The invention discloses an integrated digital design system and method for upper and lower structures of a bridge, and relates to the technical field of bridge design and computers, a system is created through a computer programming technology, and the functions of intelligent modeling of the upper and lower structures of the bridge, one-key generation of a finite element analysis model and one-key output of a calculation report can be achieved. The system mainly comprises a parameter database, an upper model database, a lower model database, a route identification module, a geological parameter identification module and an integrated intelligent analysis module. Design parameters of upper and lower structures of a bridge are classified and refined to form a universal modular parameter input system, corresponding design parameters of external routes and geological files are automatically identified, and finally all the modules are intelligently integrated to automatically form a complete upper and lower integrated finite element analysis model. The system can improve the calculation and design efficiency of the bridge structure and reduce the design cost.

The course DB stores a plurality of combinations of the layout of a course and the measurement reference position of that course. The course identification unit refers to the course DB and identifies the course traveled by the racing vehicle based on the route traveled by the racing vehicle. The travel time measurement unit measures the travel time of the racing vehicle based on the measurement reference position of the identified course, the vehicle position information of the racing vehicle, and the vehicle position acquisition time associated with each vehicle position information, and stores the information indicating the course and the measured travel time in the travel time DB. The information indicating the course and the measured travel time are associated and stored in the travel time DB. The provision processing unit provides multiple travel times associated with the same course to the user.

The present invention relates to a system for providing route guidance through a waterway to a user. The system comprises: an interface comprising a plurality of display elements, the display elements being configured to: display a map of the waterway and surrounding area; receive an origin and a destination on the waterway from the user; display a control enabling the user to request route guidance from the origin to the destination through the waterway; display on the map of the waterway a plurality of routes taken between the origin and destination by a plurality of corresponding navigators; identify at least one of the plurality of routes taken by at least one of the plurality of navigators having local knowledge of the waterway; and display at least one recommended route from the origin to the destination.

Aspects and implementations of the present disclosure address shortcomings of the existing technology by enabling routing of an autonomous vehicles (AV) by identifying routes from a first location to a second location, identifying a target efficiency value of autonomous driving along a respective route, determining, in view of historical data for the respective route and using one or more randomized conditions, a confidence level associated with the target efficiency value, selecting, based on the target efficiency values and the associated confidence level, a preferred route, and causing the AV to select the first route for travel from the first location to the second location.

The invention belongs to the technical field of multi-modal data fusion identification, designs a photoelectric-radar space-time cooperative pulse route identification method, realizes efficient fusion and utilization of multi-modal data, and achieves the effect of accurately identifying a target when a modal part is lost or interfered. Compared with an existing method, the method can be applied to the condition of mode missing, and the application scene is wider. Time sequence-space joint embedding is specially used for space-time alignment feature extraction processing of photoelectric and radar data, the feature extraction capability of the radar data is higher, and a multi-modal data fusion recognition task is facilitated. Meanwhile, a gating routing dynamic selection mechanism is introduced, robust features can be clearly learned from missing modal data, and missing modal masks are selectively added through gating in the reasoning stage to improve the interpretability of the result.

The invention provides a frequently-running route identification method, device and equipment and a readable storage medium, and the method comprises the steps: projecting a plurality of historical position points of at least one target object into a coordinate grid, carrying out the statistics of the thermal value of each grid, enabling the thermal value of each grid to be equal to the sum of the quantized values of all historical position points in the grid, and enabling the sum of the quantized values to be equal to the sum of the quantized values of all historical position points in the grid; the quantized value of each historical position point is positively correlated with the speed of the target object at the acquisition time; marking the plurality of grids with the maximum thermal values as target grids; and recognizing the frequent running route according to the target grid. According to the method and the device, the thermal value statistics of the grid takes the historical position point as a unit and does not need to fit the trajectory, so that the calculation efficiency is ensured, the quantized value of the historical position point is positively correlated with the speed, the influence of the distance between the points is reduced, the accuracy is ensured, and compared with the existing scheme, the accuracy and the calculation efficiency are both considered.

A method can include generating, based on user attribute data, a plurality of period attributes vectors, each period attributes vector corresponding to a user of a plurality of users. A method can include determining, based on the plurality of period attributes vectors, a first set of nearest neighbors. A method can include generating, based on interaction data, a word embeddings matrix using a machine learning model. A method can include determining, using the word embeddings matrix, a second set of nearest neighbors that is a subset of the first set of nearest neighbors. A method can include determining, using historical user intents data, a historical user intents matrix. A method can include determining, based on the second set of nearest neighbors and the historical user intents matrix, one or more recommended intents for a user. In some implementations, a method can include determining a recommended user treatment.

The application provides a three-dimensional road line extraction method and related equipment, comprising: obtaining binocular image data and inertial navigation positioning data of a research area based on a vehicle-mounted platform; performing parallax estimation on the binocular image data according to the inertial navigation positioning data to obtain a visual three-dimensional point cloud; determining a region with the binocular camera as the center and a preset distance as the radius as a target region in the research area, extracting the visual three-dimensional point cloud in the target region, and converting the visual three-dimensional point cloud in the target region to obtain a road surface bird's-eye view and a point cloud elevation map of the target region; inputting the road surface bird's-eye view and the point cloud elevation map into a lane line detection network to extract a road line, and obtaining a three-dimensional road line and a three-dimensional coordinate of the road line; compared with the prior art, the problems of low precision, poor robustness and high detection cost of the current road line recognition method in vehicle-mounted images are overcome, and the efficiency and quality of road line detection in vehicle-mounted images are improved.

This control device for controlling a mobile body comprises: a travel route recognition means for recognizing a travel route; a tracking processing means for tracking the travel route; an instruction recognition means for recognizing a direction instruction of a user; and a control means for controlling movement of the mobile body on the basis of the recognition result of the travel route recognition means, the processing result of the tracking processing means, and the recognition result of the instruction recognition means.

The embodiments of the present invention provide a route identification method, device, electronic device and storage medium. The route identification method includes: obtaining a route to be identified and pre-generated associated information, wherein the route to be identified includes multiple road sections to be identified, and the associated information is used to indicate a closed area, entrances and exits associated with the closed area, and key road sections associated with the entrances and exits; based on the associated information, determining whether the multiple road sections to be identified include key road sections; based on the associated information and the number of key road sections included in the multiple road sections to be identified, identifying whether the route to be identified crosses a closed area. In the process of path planning, the embodiments of the present invention can identify whether the route to be identified crosses a closed area, avoid planning routes that cross closed areas, improve the accuracy of route planning, and enhance user experience.

This invention discloses an integrated digital design system and method for bridge superstructure and substructure, relating to the fields of bridge design and computer technology. This invention creates a system using computer programming technology that enables intelligent modeling of bridge superstructure and substructure, one-click generation of finite element analysis models, and one-click output of calculation reports. The system mainly includes a parameter database, a superstructure model database, a substructure model database, a route identification module, a geological parameter identification module, and an integrated intelligent analysis module. The design parameters of the bridge superstructure and substructure are categorized and refined to form a universal modular parameter input system. Simultaneously, it automatically identifies corresponding design parameters from external route and geological files. Finally, it intelligently integrates the above modules to automatically form a complete integrated finite element analysis model of the superstructure and substructure. This invention system can improve the calculation and design efficiency of bridge structures and reduce design costs.

The invention discloses an ETC payment data-based urban traffic flow real-time modeling method and system, and relates to the field of urban traffic flow monitoring. The method comprises the following steps: acquiring ETC payment data including a vehicle identifier, a portal frame identifier and a timestamp, and performing time sequence sorting on the data based on the vehicle identifier to construct a vehicle trajectory chain; according to the road network topology, defining a plurality of short-distance interlaced routes of which the distances between entrances and exits are smaller than a threshold value; by comparing the vehicle track chain with the interleaving route, identifying interleaving vehicles of which the paths are only composed of starting points and ending points of the interleaving route, and counting in a preset time window to obtain a basic interleaving traffic flow; summing the through traffic flow, the non-interlaced afflux traffic flow and the basic interlaced traffic flow, and calculating the corrected traffic flow of the target main road section adjacent to the interlaced area; and finally generating traffic state parameters including the average speed of the road section, the corrected traffic flow and the basic interlaced traffic flow. By implementing the technical scheme provided by the invention, the traffic flow real-time modeling accuracy is improved.

Systems and methods are provided to receive a request for service indicating a start location and a destination location for the service, determine that a time of day for the request for service triggers a safety analysis, and analyze the start location and destination location to identify a pickup location to start the service and a drop-off location to end the service based on lighting metrics associated with the pickup location and the drop-off location. The systems and methods further generate a plurality of candidate routes for the service from the pickup location to the drop-off location, generate a safety score for each candidate route of the plurality of candidate routes by identifying a lighting metrics based on pixel values in imagery for each segment of each candidate route and select a route for the service based on a least the safety score of each candidate route.

To enable not only residents who use a designated sales place but also residents who have difficulty in going to the sales place to use mobile sales.SOLUTION: A mobile sales support device includes route specification means, arrival time prediction means, stop-by determination means, and route determination means. The route specification means specifies a route from a departure point of the mobile stall to a sales point where the mobile sale by the mobile stall is performed via a stop-by place of the mobile sale designated by the user. The arrival time prediction means predicts an arrival time at which the mobile shop that has departed from the departure point at a predetermined departure time arrives at the sales point through the route. The stop-by determination means determines whether or not stop-by to the stop-by place is permitted by comparing the arrival time predicted by the arrival time prediction means with the sales start time at the sales point. The route determination means determines a travel route of the mobile shop vehicle based on a determination result by the stop-by determination means.SELECTED DRAWING: Figure 12

A system includes a monitoring module configured to determine at least one of a location and a route of a vehicle, and a recommendation module configured to identify a plurality of service stations based on the at least one of the location and the route of the vehicle. The monitoring module is configured to compare a preference of a first user of the vehicle to preference data related to a second user of another vehicle, predict a preferred service station of the plurality of service stations based on the comparing, and present a recommendation to the first user, the recommendation indicating the preferred service station.

1. The name of the design product: safety radar. 2. The use of the design product: the design product is used for AGV navigation, obstacle avoidance, route identification and planning of mobile robots. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

A method for generating a predictive navigation system includes defining, based on a mission tasking, a mission route, identifying multiple mission planning images that correspond to a predetermined mission route, identifying geospatial data corresponding to the mission planning images, providing to a model, a mission plan, the mission planning images, and the geospatial data. The model is operated to generate predicted time sequenced and geo-sequenced images that are, provided to a platform control system. The predicted time sequenced and geo-sequenced images are presented during the mission to a pilot in real mission time. The mission plan includes multiple location markers that correspond to locations along the mission route. The time sequenced and geo-sequenced images depict landscapes along the mission plan corresponding to the mission plan. The predicted time sequenced and geo-sequenced images are provided to the platform control system before a mission.

The application discloses a truck frequently traveled route identification method based on GPS data, and comprises the following steps: acquiring vehicle networking data through satellite positioning data provided by vehicle networking collection equipment; processing the data in a travel mode, combining discrete GPS points into multiple travel sections through an algorithm; testing the travel data and filtering low-quality travel; counting the prefecture-level cities of the starting points and ending points of the filtered travel; calculating the distance between any two cities where the truck has stayed; constructing an inter-city network flow for the travel trajectory of each truck; and performing a frequently traveled route sorting algorithm. According to the travel trajectory of each truck, a network flow is established, and the frequently traveled route of the truck is predicted, and meanwhile, the problem of inaccurate identification of the frequently traveled route caused by missing data collection and too long resting time of the truck driver during the journey can be solved, and the problem of inaccurate identification of the frequently traveled route caused by the selection of different passing cities by the truck when going back and forth between two prefecture-level cities due to loading and unloading requirements can also be solved.

The present application belongs to the technical field of computer data processing and intelligent traffic information processing, and provides a differentiated vehicle navigation method and system, specifically: first, the client collects the traffic efficiency of the congestion intersection of the vehicle, identifies adjacent candidate routes from navigation, and identifies parallel intersection nodes; then, the follow-up resistance of each parallel intersection node is calculated in combination with the intersection traffic efficiency of the traffic flow; and finally, the main candidate route is optimized according to the follow-up resistance of each parallel intersection node. The traffic pressure of the parallel intersection node group and the pressure balance optimization of the adjacent candidate route provide a direct and calculable mathematical basis, and different vehicles are pre-allocated and differentiated in the navigation logic end, so as to avoid low-acceptance nodes and share high-pressure nodes, form a more stable and smooth traffic network, especially the network and performance of the high-speed intersection are effectively shared; the effect of significantly reducing the queue length and delay of the hot intersection in the peak period is achieved.

Identify the actual travel routes taken by users of public transportation. [Solution] The passenger route identification device of the embodiment acquires user identification information, which is the identification information of a user entering or exiting from a ticket gate installed at a station of a transportation company, and registers a combination of date and time information, entry station information or exit station information, and user identification information as a single detailed information in the storage unit. It also acquires face image data, which is data of the face of a user riding the transportation company, and identifies the user identification information corresponding to the acquired face image data based on correspondence information that has been pre-associated between user identification information and face image data for each user, and registers a combination of date and time information, transportation company information used, and the identified user identification information as a single detailed information in the storage unit. When user identification information of a user exiting from a ticket gate is acquired, the actual passenger route is identified for that user using the entry station information, transportation company information, and exit station information based on multiple single detailed information.

The present application relates to the technical field of short-distance transportation intelligent scheduling, logistics information processing and computer application, in particular to a short-distance transportation order intelligent scheduling method and system based on template fingerprint grouping feedback and a storage medium. The method establishes a route responsibility semantic index library, generates a template fingerprint for an imported order, calls a location synonym sub-dictionary to normalize the starting and ending points, determines a target route in combination with a responsibility inverted index, generates a restricted candidate resource pool based on a responsibility vehicle set, a responsibility driver set and a load constraint, executes whole-vehicle direct dispatch, compatible carpooling, return vehicle reuse and overload splitting, and updates the location synonym sub-dictionary and related indexes locally according to the manual route change result. The scheme improves the route recognition accuracy, scheduling efficiency and resource utilization rate.

The application relates to the technical field of route identification, and relates to a similar route identification method and device based on big data. The method comprises the following steps: acquiring a joint data set; obtaining vehicle running information and a vehicle driving route of multiple vehicles according to the joint data set; cutting the vehicle driving route according to the vehicle running information, so as to obtain at least one vehicle driving sub-route; respectively extracting trajectory key features of the at least one vehicle driving sub-route; acquiring a trajectory clustering result of the vehicle driving route of the multiple vehicles according to the trajectory key features of the at least one vehicle driving sub-route; respectively performing distributed calculation of route similarity on vehicle driving routes of different clusters according to the trajectory clustering result of the vehicle driving route of the multiple vehicles, so as to obtain a route similarity calculation result; and obtaining a similar route group according to the route similarity calculation result. The method can reduce the calculation amount and improve the calculation speed on the basis of ensuring the accuracy of similar route identification.

A system comprises a monitoring module configured to determine at least one location and route of a vehicle, and a recommendation module configured to identify multiple service stations based on the vehicle's at least one location and route. The monitoring module compares a preference of a first user of the vehicle with preference data relating to a second user of a different vehicle, predicts a preferred service station from among the multiple service stations based on the comparison, and presents a recommendation to the first user, indicating the preferred service station.

The invention provides an intelligent highway inspection method and system based on an unmanned aerial vehicle, and relates to the technical field of data processing, and the method comprises the steps: obtaining an inspection video of a highway in response to an inspection instruction sent by an inspection monitoring center; acquiring a thrown object detection model and a road line identification model, inputting the inspection video into the thrown object detection model for detection to obtain thrown object related information in the inspection video, and inputting the inspection video into the road line identification model for identification to obtain driving pavement area information of the expressway; if the position of the thrown object is located in an area formed by the lane line position, generating an alarm signal and sending the alarm signal to an inspection monitoring center; the problem that the position of the thrown object is inaccurately recognized in the prior art is solved, rapid finding, accurate positioning and timely warning of the thrown object are achieved, powerful support is provided for rapid response and processing of inspection personnel, and then driving safety and road smoothness of an expressway are guaranteed.

The invention provides a proximity monitoring system, a proximity monitoring method, and a storage medium. Consequently, contact between the vehicle and a moving person caused by a sudden change in action of the moving person present in the periphery of the vehicle can be prevented and prevented in advance from causing the moving person to feel boring. A proximity monitoring system is provided with: a moving person detection unit that detects a moving person present in the vicinity of a vehicle; a predicted vehicle route recognition unit that recognizes a predicted vehicle route; a moving person predicted travel route recognition unit that recognizes a moving person predicted travel route; a closest distance calculation unit that calculates a closest distance, which is the distance between the vehicle and the moving person at the closest time point, between the predicted vehicle travel route and the predicted moving person travel route when the predicted vehicle travel route and the predicted moving person travel route do not coincide with each other; and an attention reminding unit that reminds the moving person of attention when the closest distance is equal to or less than a predetermined determination distance.