20 results about "Route recognition" patented technology

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 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 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.

A method for determining a wrapping configuration (A) of a film or band (50) around a group of products (L) to form a palletized load (C) to be transported along a defined road route (PR) by a vehicle (100), comprising the steps of processing the route (PR) by means of a routing system associated with a digital mapping and cartography system; identifying the route (PR) as a sequence of straight (Tr,i), curved (Tc,i), roundabout (To,i) sections identified by a sequence of ultimate points (Pf,i); creating a data file (FD) containing the ultimate points (Pf,i) to which respective geographical coordinates (x, y) are associated on a reference plane (X, Y), altitude (z) and first road geometric data and metadata; analysing and processing the data file (FD) and synthesizing the route (PR) as a composition of a plurality of road segments of a straight type (Sr,i) and / or curved type (So,i) and / or roundabout type (So,i); calculating for each road segment (Sr,i, Sc,i, So,i) and for each travel instant (tj) a speed (vj) and local accelerations (at,j, an,j, a z',j) acting on the vehicle (100) with reference to a local reference system (t, n, z') of the vehicle (100); identifying on the route (PR) a plurality of critical road segments (Sr,k, Sc,k, So,k) in which the values of the local accelerations (at,j, an,j, az',j) are higher and storing them in a set of maximum accelerations (G_amax); positioning the palletized load (C) on a motion platform (10) and inputting the values of the set of maximum accelerations (G_amax) as driving data of the motion platform (10) and operating it to perform a simulation of movements and / or stresses acting on the palletized load (C); or creating a digital model of the palletized load (C) and starting a simulation of movements and / or stresses acting on the digital model using the values of the set of maximum accelerations (G_amax) as kinematic stress data to perform a simulation of movements and / or stresses acting on the palletized load (C); at the end of the simulation on a motion platform (10) or by means of the digital model, verifying whether the palletized load (C) wrapped with the film or band (50) according to the defined wrapping configuration (A) has remained stable and / or compact and / or rigid.

An information processing device including: an inquiry receiver configured to receive an inquiry including a route identification information for identifying a route from a user terminal; a video obtainer configured to obtain a video captured by each of one or a plurality of mobile terminals satisfying a route condition which is a condition corresponding to at least a part of the route identified by the route identification information; and a video transmitter configure to transmit the video to the user terminal, wherein the video obtainer obtains a first video corresponding to a first positional information for identifying a first partial route in the route identified by the route identification information and obtain a second video corresponding to a second positional information for identifying a second partial route which is beyond the first partial route in the route, and the video transmitter transmits the first and second videos.