19 results about "Electronic navigation" patented technology

The present invention discloses a method for autonomous route planning for inland river intelligent ships based on electronic navigation charts, belonging to the technical field of ship navigation path planning. The method comprises: constructing a channel grid map based on the electronic navigation chart using ArcPy; generating a shortest route on the channel grid map based on the Dijkstra algorithm; and smoothing the planned shortest route using the Bessel interpolation method. In the absence of a data-complete grid inland river chart, the present invention can autonomously generate the shortest route by gridding the inland river electronic navigation chart, without relying on a gridded electronic navigation chart or an electronic nautical chart. The generated route is then smoothed to meet the actual navigation requirements of the ship, thereby facilitating the navigation of the inland river ship. The route of the inland river ship can be planned rationally and efficiently, thereby improving the efficiency of inland river ship navigation.

The present invention discloses a low-cost, stretchable, angle-insensitive, flexible frequency selective surface, belonging to the technical field of flexible electronic devices. The frequency selective surface is an array composed of N×N structural units, each structural unit comprising, from top to bottom, a patterned copper cloth layer (1) and an elastic fabric dielectric layer (2); the structural unit is divided into an outer ring and an inner ring, the lengths of which along the electric field direction and the magnetic field direction of the electromagnetic wave are P and L, respectively; the pattern structure of the patterned copper cloth layer (1) is a serpentine meander line, which is a structure composed of multiple semicircular rings connected, with an outer ring radius of r and a line width of w. By using the elastic fabric dielectric layer and the serpentine meander line-shaped copper cloth layer, the present invention makes the frequency selective surface flexible and stretchable, and can be widely used in wireless communications, and has broad application prospects in antenna covers of equipment such as radar, electronic navigation and electronic countermeasures.

The utility model relates to the technical field of mobile platforms, and discloses a mechanical mobile platform with an electronic navigation function, which comprises a platform body, the bottom of the platform body is fixedly connected with a frame, four corners of the frame are rotatably connected with mobile rollers, the edge of the bottom of the platform body is fixedly connected with a controller, and the controller is connected with the electronic navigation function. Through the arrangement of the walking obstacle avoidance mechanism, a rotating rod is used for winding a pull rope, the distance between the two sides of the pull rope is shortened, then L-shaped rods on the two sides are pulled by the pull rope to rotate, a reset spring is stretched, a bottom brush plate is driven by the L-shaped rods to rotate with the top of the reset spring as the axis, and the rotating rod can be reset after rotating reversely; the brush bristle pieces continuously brush the outer sides of the telescopic supporting rods in a reciprocating mode, impurities such as ground broken stones are brushed away, it is ensured that after the platform body stops, the stability of the telescopic supporting rods supporting the platform body is enhanced, and the external obstacle avoiding capacity of the platform body is improved in the walking process.

Sensor device 10 for mounting on a vehicle (e.g. locomotive 12,Fig.1) has an encasement 14 containing electronic navigation sensors (e.g. GPS, INS 32, 34); a sensor array including a multi-spectral da

This application relates to digital twin 3D modeling, specifically to a method and device for constructing a digital twin waterway scene using electronic navigation charts. The method includes: analyzing the historical trend of water depth values ​​at each depth point to determine the inherent terrain feature values ​​of each depth point set at the current time; determining the terrain ruggedness feature value by fitting the last data point in the temporal sequence of the trend components of all depth points in each depth point set at the current time with its fitted value and the fitting error; and determining interpolation feature values ​​by combining the inherent terrain feature values ​​to classify all depth points into critical and non-critical points; and performing interpolation processing on the water depth values ​​of all critical and non-critical points using different interpolation methods respectively. This application solves the problem that a single interpolation method cannot simultaneously ensure the realism and real-time performance of the model construction, thus improving the realism and real-time performance of the digital twin waterway scene model.

The invention relates to a method for navigating a vehicle (1) equipped with a lidar (5) and an inertial measurement unit (6) both connected to an electronic navigation unit (2) implementing a first, synchronous positioning and mapping algorithm and a second, data fusion algorithm; the first algorithm receives, as input, first positioning data originating from the lidar (5) in order to calculate a first displacement from an initial position; a second algorithm receiving the first displacement and second positioning data originating from the inertial measurement unit (6) as inputs and providing a second, fused position of the vehicle (1) as an output; characterized in that the second algorithm implements invariant extended Kalman filtering and the second, fused position is introduced into a feedback loop which provides the second, fused position as input to the first algorithm in order to calculate a new position, which is the initial position.

This invention relates to a method for determining radio navigation beacons for an aircraft. The method is implemented by an electronic determination device and comprises the following steps: selection of an N-tuple of beacon identifiers, N being greater than or equal to 2, from an estimated position of the aircraft; and provision of the selected N-tuple to an electronic calculation device, for calculating a new estimated position of the aircraft from the N beacons corresponding to the N identifiers of the selected N-tuple.1. During the selection step, the N-tuple is selected from a set of admissible N-tuples, obtained by means of the implementation of an artificial intelligence algorithm, the artificial intelligence algorithm receiving as input the estimated position of the aircraft and providing as output the set of admissible N-tuples.

The invention discloses a hospital dynamic electronic navigation method and system. The method comprises the following steps that: a hospital electronic navigation center acquires destination information, mobile phone information and video information of a patient after the patient agrees; creating a patient walking route on a hospital electronic map according to the destination information of the patient, and pushing the patient walking route to a mobile phone of the patient through a WLAN (Wireless Local Area Network); judging the current area of the patient in real time through a wireless local area network (WLAN); when the current area of the patient is determined, calling a monitoring video of the current area of the patient from a hospital video monitoring network, identifying the patient from the crowd by using the video information of the patient, and determining the facing direction of the patient; according to the facing direction of the patient, the electronic map and the walking route of the patient, the following leftward, rightward, forward or backward walking direction of the patient is determined, and voice information of the determined walking direction is sent to the mobile phone of the patient through the WLAN, so that the patient can adjust the walking direction according to the voice information of leftward, rightward, forward or backward walking.

The invention relates to a navigation device (1) comprising an inertial measurement unit (100) and an electronic navigation computing unit (200) interconnected by a data link (300), the inertial measurement unit (100) comprising an inertial sensor (110, 120) providing a first signal comprising first data representative of a change in speed and second data representative of a change in angle, and the electronic navigation calculation unit (200) is arranged to calculate navigation from the signal provided by the inertial measurement unit (100), characterized in that the inertial measurement unit (100) comprises an electronic processing circuit (130), the electronic processing circuit (130) is connected to the inertial sensor (110, 120) and is arranged to time-dependent at least one first integration of the first data and the second data over an integration period (the period begins with a single integration start time and is measured), to generate first processed data and second processed data included in the second signal together with time information representing the integration time; and the electronic navigation calculation unit (200) is arranged to extract the processed data and the time information from the second signal and to use them to calculate navigation while taking into account two successive extracts of separate integral times.

The invention provides a lane line detection method and device and a model training method and device, and relates to the technical field of artificial intelligence, in particular to the technical field of deep learning, computer vision, automatic driving and electronic navigation. The specific implementation scheme of the lane line detection method comprises the steps of generating target offset information based on image features of a to-be-detected image; wherein the target offset information indicates displacement of a target position for each associated feature relative to a preset position in the feature enhancement process, and each associated feature is associated with the image feature; performing feature enhancement on the image features based on the target offset information to obtain enhanced features; wherein the enhanced feature enhances the deformation feature of the lane line in the to-be-detected image; the enhanced features are detected, and a detection result is generated; wherein the detection result indicates the position and the type of the lane line.

The present disclosure provides a navigation method and device of a vehicle, electronic equipment and medium, relates to the technical field of computers, and particularly relates to the technical field of intelligent traffic, electronic navigation and cloud services. A specific implementation scheme is as follows: determining a driving endpoint and at least one driving passing point contained in a driving route where a target vehicle is located; in a case where it is determined that the target vehicle drives to the driving passing point, generating first navigation information according to passing point position information of the driving passing point; and in a case where it is determined that the target vehicle drives to the driving endpoint, generating second navigation information according to endpoint position information of the driving endpoint. The present disclosure makes it possible to generate corresponding navigation information no matter whether the target vehicle drives to the driving passing point or the driving endpoint, achieves the effect of segmented navigation of the target vehicle, and avoids the problem of interruption of navigation information.

Embodiments of the present application disclose an electronic navigation map quality detection method and device, the method comprising: obtaining an electronic navigation map to be detected; obtaining a plurality of pose information and corresponding positioning time thereof in a driving process of a vehicle in a scene corresponding to the electronic navigation map; obtaining perception data determined by the vehicle in the driving process, a collection time corresponding to each road image being in a corresponding relationship with the positioning time corresponding to each pose information; for each pose information, determining map semantic data corresponding to the pose information from the electronic navigation map; and for each pose information, determining a quality detection result of the electronic navigation map based on map position information of the map semantic data corresponding to the pose information in the electronic navigation map and / or observation position information of the perception data corresponding to the pose information in the corresponding road image, so as to realize detection of quality problems of the electronic navigation map.

This invention discloses a verifiable cryptographic fusion method for electronic nautical charts and satellite imagery, belonging to the field of marine data processing technology. The method includes: preprocessing and registering S-57 electronic nautical chart data and satellite imagery data; constructing a dynamic tidal buffer analysis region; generating a nearshore waters mask with semantic consistency; constructing Merkle tree commitments for the purified electronic nautical chart features and water index raster; extracting nearshore boundaries and calculating geometric consistency scores; calculating semantic consistency scores based on the nearshore waters mask and depth region reference maps; and finally, weighted fusion of geometric, semantic, and commitment scores to generate a reliable fusion index, which is then classified and evaluated according to a threshold. This invention combines geometric consistency, semantic consistency, and cryptographic integrity verification, enabling quantifiable and verifiable evaluation of the fusion results of multi-source marine geospatial data, providing a standardized technical path for hydrological quality assurance and chart updates.

Method and electronic device for determining radio navigation beacons for an aircraft, computer program, navigation method and associated electronic navigation system. The present invention relates to a method for determining radio navigation beacons (210) for an aircraft. The method (210) is implemented by an electronic determination device and comprises the following steps: selection (230) of an N-tuple of beacon identifiers, N being greater than or equal to 2, from an estimated position of the aircraft; and supplying (240) the selected N-tuple to an electronic computing device, for calculating a new estimated position of the aircraft from the N beacons corresponding to the N identifiers of the selected N-tuple.During the selection step (230), the N-tuple is selected from a set of admissible N-tuples, obtained through the implementation of an artificial intelligence algorithm. The AI ​​algorithm receives the estimated position of the aircraft as input and provides the set of admissible N-tuples as output. See Figure 4 for the abbreviation.

The invention relates to a navigation device (1) comprising an inertial measurement unit (100) and an electronic navigation calculation unit (200) connected to one another by a data link (300), the inertial measurement unit (100) comprising inertial sensors (110, 120) for generating a position signal, and the electronic navigation calculation unit (200) being arranged to calculate navigation as a function of the position signal, characterized in that the inertial measurement unit (100) and the electronic navigation calculation unit (200) are connected to one another by a data link (300). The inertial measurement unit (100) comprises an electronic processing circuit (130) connected to the inertial sensor (110, 120) and equipped with a memory containing an error model of the inertial measurement unit; wherein the electronic processing circuit is arranged to transmit the position signal to the electronic navigation unit at a first rate and to transmit a correction signal to the electronic navigation unit at a second rate, the correction signal comprising: first correction data and second correction data, the first correction data represents an effect of a sensor error on the position signal over a given time period and is determined by the electronic processing circuit according to the error model; the second correction data represents the influence of noise and random error of the inertial measurement unit in the given time period; and wherein the electronic navigation computing unit implements a hybrid navigation algorithm arranged to provide a hybrid position based on inertial position data extracted from the position signal and external position data and readjusted using the correction data.

The utility model discloses a multifunctional electronic navigator support, which relates to the technical field of electronic navigators and comprises a base. The bottom of the sliding seat is in sliding connection with the bottom of the inner cavity of the base; the two ends of the threaded rod are rotationally connected with the inner side of the base, the outer side of the threaded rod is in threaded connection with the inner side of the sliding seat, and the threaded rod is used for driving the sliding seat to move; the fixing device is located above the sliding seat, and the fixing device is used for fixing the electronic navigator; the fixing device comprises a connecting plate, the bottom of the connecting plate is fixedly connected with the top of the sliding seat, and the outer side of the connecting plate is rotationally connected with a mounting device; and the top of the suction cup is fixedly connected with the bottom of the base. By arranging the fixing device, the bracket can adjust the position of the electronic navigator according to actual use requirements, and has better flexibility and adaptability.

The embodiment of the invention discloses a navigation processing method, device and equipment based on a block chain. The scheme comprises the following steps: determining position information of a current vehicle on a road network; determining that congestion road condition information related to the position information exists on the road network; obtaining camera information related to the related congestion road condition information on the block chain, wherein the camera information is updated to the block chain through a camera owner; obtaining a real-time road condition video currently collected by the corresponding camera according to the related camera information; and displaying the real-time road condition video in an electronic navigation map in the current vehicle.

The invention discloses a ship intelligent driving control system and method based on multi-modal interaction and cloud cooperation and a ship, and belongs to the field of intelligent ships. The system comprises a central processing unit, a multi-mode interaction module, a cloud collaborative battery replacement management module, a graded alarm and intelligent broadcast module, an electronic navigation log module, a multi-source data fusion display module, a digital electronic control integration module and a cloud platform. Wherein the multi-modal interaction module, the cloud collaborative battery replacement management module, the graded alarm and intelligent broadcast module, the electronic navigation log module, the multi-source data fusion display module, the digital electronic control integration module and the cloud platform are respectively connected with the central processing unit, and interaction of control instructions and data is realized through the central processing unit. According to the invention, all-around and integrated intelligent management and control of ship navigation, electromechanics, battery replacement, logs and the like are realized.