75 results about "Route recognition" patented technology

Described herein are a system and method of training a motor vehicle operator in crash-avoidance skills. Critical crash-avoidance skills comprise actively scanning a driving environment to identify, recognize, and remember what is seen; adjusting vehicle speed and position to accommodate road conditions, visibility, and traffic; proactively identifying and responding to potential hazards before the potential hazards become immediate hazards; recognizing, assessing, and responding to driving risks; creating a space cushion in order to identify and maintain possible escape routes; and identifying and minimizing visual, manual, and cognitive distractions. Training comprises at least one interactive driving simulation in which use of technology by a motor vehicle operator impacts performance of the motor vehicle operator. The training comprises computer-based learning tutorials, interactive point-of-view driving simulations, and conjoint experienced driver mentor / inexperienced trainee activities, as well as objective testing of motor vehicle operators on skills and driving knowledge.

A system and method for identifying medical facilities along a travel route preferably includes an input device, a processor, Microsoft SQL server database and a memory storing various information regarding medical facilities. For on-demand determination of medical facilities along a travel route, the input device preferably includes a GPS receiver providing the current geographical coordinates of a patient requiring medical assistance to the processor. The processor compares the geographical coordinates of the patient to coordinates of medical facilities in the database to determine medical facilities near the patient. A user of the system may also input a type of medical emergency, preferred language and insurance information to refine the search for medical facilities. The processor may also calculate a projected travel route using navigational software. The identified medical facilities may be displayed to a user in any manner and / or saved in a navigational computer for reference in case of a medical emergency.

The invention discloses a human-machine interaction interface traverse test method, which is applied to a mobile terminal, and the human-machine interaction interface traverse test method comprises the following steps of a, setting a traverse test mode and traverse test strength, classifying the traverse mode according to a control type, and classifying the traverse strength according to an interface element route; b, embedding a control type and interface element route recognition module into the mobile terminal; c, opening one application, automatically scanning and recognizing control information and interface element routes of all interfaces of the application to generate a list, and selecting the traverse test mode and strength to carry out the traverse test; d, judging whether abnormality exits in the test process, and storing the abnormality information as a test text if abnormality exists; and e, judging whether the traverse test is completed or not, continuing the traverse test if the traverse test is not completed, and otherwise ending the test and saving a test result. Due to the adoption of the method, all interfaces in the application can be rapidly and accurately traversed, an abnormal position is automatically recorded, an abnormal log can be recorded, and users can conveniently take corresponding measures in time.

A system and method provides turn-by-turn directions by identifying placemarks, such as businesses or other landmarks that appear along a traveled route. The system may determine whether signage is associated with each placemark along the route and whether the signage is visible from the route. The system may also determine how prominent the signage is from the route. The system selects the placemark by determining how easily the placemark may be identified from the route, based on the signage's visibility and prominence. The selected placemark may then be identified in connection with the turn-by-turn directions.

The invention provides a navigation apparatus and a navigation server capable of providing information to the user enabling comparison between a route that the user is actually traveling and a different route. According to a car navigation apparatus 200, a route setup unit 230 sets up plural routes. An actual route recognition unit 231 recognizes an “actual route” of the vehicle M. Further, a virtual route recognition unit 232 recognizes a “virtual route” that differs from the actual route. Moreover, a virtual travel information recognition unit 240 recognizes a “virtual travel information” containing a virtual position of the vehicle M on the virtual route. The actual travel information, the actual route, the virtual travel information and the virtual route are displayed on a liquid crystal panel 250.

The invention involves highway-use integrated access card based on wireless RF and data integration, also involves its application method in the highway path identification system. The highway-use card contains RF module and IC chips. The signal receiver of RF module connects to the receiving antenna through matching circuit, in addition, contains microprocessors, the digital signal output interface of RF module connects to the data input interface of the microprocessor. The communication port of microprocessor includes dual-interface mifare 1 card, and dual-interface mifare desfire and dual-interface mifare pro card which connects to the corresponding port in IC card. The invention integrates the radio frequency identification technology, IC card (IC) and the data fusion technology to reasonably solve various defects in the existing technologies without the need to increase construction costs, which can greatly reduce the cost of the investment system and effectively be used.

A street lamp power management system and a method thereof are disclosed. The system comprises a back-end host and a plurality of power controllers. Each power controller is connected with a street lamp and is connected with the back-end host through networks. Power supply configuration information of street lamps in power control areas is stored in the back-end host. The power controller comprises an image shooting unit, a velometer and a microprocessor. The microprocessor comprises an image detection module, a route recognition module and a power control module. When a pedestrian or a vehicle is passing through a road section, street lamps in the road section are automatically opened or street lamp brightness can be automatically heightened by the power controllers. And when the pedestrian or the vehicle has passed through the road section, street lamps in the road section are automatically closed or street lamp brightness can be automatically turned down by the power controllers. Through using the invention, street lamp brightness can be real-timely automatically adjusted; road safety illumination provided by the street lamps can be retained and effects of saving power can be achieved.

The invention discloses an auxiliary driving vehicle gateway for multi-CPU hard isolation of intelligent interconnection. The auxiliary driving vehicle gateway comprises a vehicle security communication system and a vehicle information analysis and control system, wherein the vehicle security communication system comprises a vehicle gateway double-wireless network card structure composed of an inter-vehicle wireless communication module and a vehicle domain wireless communication module, and a vehicle owner mobile terminal, and the vehicle security communication system carries out CPU control by an I.MX6Q processor; and the vehicle information analysis and control system carries out CPU control by an Exynos4412 processor, and comprises a driving route identification module, a driving behavior analysis module, a vehicle information collection module and an intelligent vehicle controller. The auxiliary driving vehicle gateway disclosed by the invention can realize the communication security of the vehicle gateway, realize driving security by driver fatigue state analysis based on Opencv face recognition and driving route recognition and analysis, as well as effectively resisting against Sybil attack and other various types of attacks from a hardware level to prevent hackers from invading the vehicle gateway to obtain vehicle information and controlling the vehicle.

Various systems and methods for preparing directional instructions are disclosed herein. For example, a method for preparing directional instructions is discussed that includes receiving two route end points and identifying a route between the two end points. The route between the two end points may include, for example, at least one road and a distance. In addition, at least one landmark is identified along the route. A textual output is assembled that includes the name of the road, the distance and a description of the landmark.

A route inspection system includes one or more processors configured to identify a reference location in sensor data provided by one or more sensors onboard a vehicle system. The reference location is identified along a route being traveled by the vehicle system. The one or more processors also are configured to identify a location of interest in subsequent sensor data provided by the one or more sensors. The location of interest identified along the route being traveled by the vehicle system. The one or more processors also are configured to determine a degree of curvature in the route based on a difference between the reference location and the location of interest.

An image process for determining whether an image is foggy determines a shape of a road for driving of a vehicle in an image captured by an onboard camera based on white road line recognition. Based on the road shape, the process determines, in the image, a distant road area on the road for driving at a specified distance from the vehicle. The process processes, of the entire image captured by the camera, an image portion corresponding to the distant road area to determine whether an image is foggy. Thus, a load on image processing decreases compared with analysis of the entire image. The distant road area is located on the road at the specified distance far from the vehicle in the image. Generally, a road continues in the distance. Since the corresponding area possibly captures a distant part, the fog determination accuracy can be ensured.

The stereo image recognition device detects a first white road line starting point by luminance change on retrieval lines in a first white road line detection region set on an image, calculates an approximation line for a point group of the points, sets white road line search lines inside the approximation line in the vehicle width direction, and searches a white road line inside thereof based on luminance information on the search lines. When there is a white road line, the device sets a second white road line detection region by expanding the first region toward inside in the vehicle width direction, detects a second white road line starting point not overlapping the first point, calculates a white road line based on a point group of the first points or the second points selected on a predetermined condition, and sets the first region based on the calculated line.

An intelligent human-simulated tracking meal delivery robot comprises a robot main shell body and a walking device with a route recognition function which are assembled vertically together in sequence, wherein the robot main shell body is a shell body with two folded ends and a raised middle part, a notch is disposed in a front panel of the robot main shell body, a cabin door is hinged respectively to two sides of the notch located on the robot main shell body, the two cabin doors are combined into a shape which is consistent with the notch shape, a mean storage cabin is disposed inside the robot main shell body in a direction opposite to the notch, two cabin doors which have the exactly same shape with the notch after being combined are hinged at the notch of the robot main shell body, a vertically disposed cabin opening motor is disposed respectively on one side of each cabin door located inside the robot main shell body, a horizontally disposed bent steering arm is installed on a main shaft of the cabin opening motor, one end of the steering arm is vertically orthogonal with the inner wall of the cabin door, a large arm steering engine and a small arm steering engine are located at the same degree of freedom, and subdivision can be realized in one direction of the degree of freedom. The structure is more compact and efficient.

In right and left white road line detection regions on a image, a stereo image recognition device of a white road line recognition device for a vehicle detects a pair of a white road line starting point and a white road line ending point for each of retrieval lines set in the horizontal direction based on the change in the luminance on the retrieval lines, calculates a midpoint Pm between each pair of the white road line starting point and white road line ending point, selects a point group with a smaller dispersion between the point group consisting of the white road line starting points and the point group consisting of midpoints based on a predetermined condition, and calculates a white road line based on the selected point group.

In one embodiment, in response to a route from a source location to a target location, the route is analyzed to identify a list of one or more driving scenarios along the route that match one or morepredetermined driving scenarios. The route is segmented into a list of route segments based on the driving scenarios. At least one of the route segments corresponds to one of the identified driving scenarios. A path is generated based on the route segments for driving an autonomous driving vehicle from the source location to the target location. The path includes a number of path segments corresponding to the route segments. At least one of the path segments of the path is determined based on a preconfigured path segment of a predetermined driving scenario associated with the path segment, without having to calculating the same at real time.

Methods, systems, and computer program products for individually identifying and disabling circular routes from active routes to a common destination are disclosed. According to one method, multiple active routes are maintained to a common destination. Congestion is detected on a signaling link associated with at least one of the routes. In response to detecting the congestion, at least one of the routes is tested for circularity. One of the routes is identified as circular based on the testing. In response to identifying the route as circular, the route is disabled and use of the remaining active routes to the destination is continued.

The invention provides a handwriting trace recognition method and device applied to writing with a writing brush. The method comprises steps as follows: acquiring handwriting trace data produced in the process when handwriting input equipment is pressed for writing and released for writing stopping are acquired; the handwriting trace data are subjected to smooth processing and interpolation processing; corresponding angle change values of handwriting points in the processed handwriting trace data are detected, and the points with the angle change values exceeding threshold values are determined as feature points; the adjacent feature points are connected to obtain multiple stroke segments, and the multiple stroke segments are separated into main stroke segments and auxiliary stroke segments according to the lengths of the stroke segments; features of the corresponding stroke segments are determined according to the connection relation of the main stroke segments and the auxiliary stroke segments; the directions of the main stroke segments are determined according to a preset stroke segment eight-direction rule; the directions of the main stroke segments and the features of the stroke segments are compared with a stroke sample library established in advance, and strokes corresponding to the handwriting trace data are recognized. With the adoption of the handwriting trace recognition method and device, the handwriting trace accuracy is improved.

The invention provides a terminal device which comprises an NFC chip, at least two NFC antennas and at least two safe transaction units. Each NFC antenna is corresponding to a safe transaction unit. At least two NFC antennas are located at different locations on the terminal device respectively. Each safe transaction unit comprises a host system or a safe module, or safe modules in at least two SIM cards, or a host system or safe module in a common domain or safe domain. The terminal device stores a transaction routing relation table which is used for storing the correspondence between the ID of the NFC antennas and the card analog transaction routing destination. The invention further provides a transaction routing recognition method and system, wherein the method and system are realized by the terminal device. According to the invention, automatic NFC transaction routing recognition is realized.

Traffic conditions along a travel route are identified. Travel route identification information identifying the travel route is received and a unique identifier is assigned to the travel route. A request relating to a traffic condition along at least a portion of the travel route is received from a user. The request includes the unique identifier. Travel route traffic information for the travel route is analyzed. The traffic condition is identified based on the analysis. The user is informed of the traffic condition.

The invention relates to the field of big data, discloses a public transport repeated route identification method, device and equipment and a storage medium, and is used for solving the technical problem that an existing public transport repeated route identification method is low in identification accuracy. The method comprises the steps of extracting a to-be-recognized range to be subjected to repeated route recognition based on a repeated route recognition request; acquiring a public transport means driving route in the to-be-identified range; analyzing the road information of the driving route, and determining the contour of the driving route based on the road information; constructing an electronic fence of the driving route according to the contour; obtaining a buffer range of the driving route based on the electronic fence; calculating an overlap ratio index between the driving routes according to the buffer range; and marking the driving route of which the overlap ratio index exceeds a preset overlap ratio threshold value as a repeated route. In addition, the invention also relates to a block chain technology, and the related information of the public line can be stored in a block chain.

The invention discloses an automatic driving vehicle fusion navigation decision-making method in a network connection environment. The method is characterized in that an automatic driving control system control vehicle is utilized, the automatic driving control system control vehicle comprises a vehicle position positioning module, an external environment recognition module and a remote indication place condition recognition module; the vehicle position positioning module is used for acquiring the position of an automatic driving vehicle on a map; the external environment identification module is used for identifying the external environment of the vehicle; the remote indication location condition identification module identifies a location condition on a target route based on a preset target route of the autonomous vehicle. According to the fusion navigation decision-making method for the automatic driving vehicle in the network connection environment, information exchange can be carried out under the Internet condition, decision-making failure and decision-making deviation are not likely to happen during decision making, closed feedback can be formed during driving decision making, driving accidents are not likely to be caused, and safety of automatic driving is improved.

Provided are a travel route recognition device and a travel assistance system using the same, which are capable of precisely recognizing the positions of white lines and road boundaries even if, for example, there is a decrease in the accuracy of the detection of both white lines and road boundaries on the travel route. The direction of the travel route is estimated on the basis of the direction of a linear site included in an image obtained by imaging units, and the direction of the boundaries of a surface region included in a distance image comprising three-dimensional distance information generated on the basis of the images obtained by the imaging units or on the basis of distance information detected by the distance detection unit.

The invention discloses a method for identifying repetitive lines under the fusion of two public transit rail networks, which relates to the technical field of public transportation. The purpose of this paper is to solve the problem that the recognition accuracy of repeated bus routes is low by the existing methods of repeated route recognition. A technical scheme comprise that steps of analyze and screening all bus routes from two directions of route repetition and function repetition respectively, obtaining a corresponding alternative route set, and summarize the alternative route set to obtain a route set to be optimized; A line network optimization index system is construct, and that line set to be optimized is further screen to obtain the line set to be optimized. The invention can improve the accuracy of the identification of the repetitive route, on the basis of which, the bus line network is optimized by reducing repetition, and the influence of the optimization of the bus linenetwork on the existing public transport system can be reduced.