224 results about "Vehicle positioning" patented technology

This invention discloses a control method for a UAV positioning and control system based on urban low-altitude three-dimensional traffic, belonging to the field of three-dimensional traffic technology. The control system includes a ground-based UAV traffic control center, several UAVs, a positioning mechanism mounted on each UAV, and markers mounted on urban buildings. The control method includes: the UAVs obtaining their first coordinate position via a satellite positioning module; obtaining their second coordinate position by locking onto markers via the positioning mechanism; obtaining precise coordinates based on coordinate positions one and two; and the control center controlling the aerial three-dimensional traffic of the UAVs based on these precise coordinates. This invention, through the coordinated operation of the ground control center and the UAV control system, achieves precise positioning of the UAVs outside the intersection area, effectively ensuring the safe and orderly passage of the UAVs through the intersection area.

This invention relates to the field of unmanned aerial vehicle (UAV) positioning technology, and discloses a UAV positioning method, apparatus, device, storage medium, and program product. The method includes: upon receiving a broadcast signal from a wireless communication device, extracting the location information of the wireless communication device; determining the first azimuth information of the UAV relative to the wireless communication device based on the signal strength and transmission direction of the broadcast signal; sending a communication signal to the wireless communication device and receiving second azimuth information sent by the wireless communication device; and performing a fusion calculation on the first and second azimuth information using fusion weights to determine the precise coordinate information of the UAV. This invention enables direct communication between the UAV and the wireless communication device, and integrates the first azimuth information determined by the UAV with the second azimuth information determined by the wireless communication device to obtain the final position of the UAV. This allows the UAV to be positioned via the wireless communication device even when satellite signals are blocked.

Method for positioning a vehicle (10) having a secondary resonant circuit over a base plate (3) having a primary resonant circuit for inductively charging a vehicle battery (13), wherein the primary coil (4) of the primary resonant circuit and the secondary coil (11) of the secondary resonant circuit are to be positioned on top of each other within a predetermined deviation, wherein several transmitting antennas (S1, S2, S3, S4) are installed in the base plate (3), the extent of which along one axis is greater than along an axis perpendicular to it, and wherein at least one receiving antenna is arranged in the vehicle (10), wherein each transmitting antenna (S1, S2, S3, S4) is connected to a signal generation unit and generates a magnetic field with a predetermined frequency, which is received by the receiving antenna, and an evaluation unit connected to the receiving antenna is designed to evaluate the voltage and / or the current flowing at the receiving antenna with respect to magnitude and phase and, by comparing its course as the vehicle (10) approaches the base plate (3) with predetermined values, to generate signals that indicate the deviation of the actual position of the vehicle (10) from a target position, wherein each transmitting antenna (S1, S2, S3, S4) is formed with a resonant circuit and to deactivate a transmitting antenna (S1, S2, S3, S4) the resonant circuit is detuned.

This application provides a multi-source fusion positioning method, electronic device, and vehicle. The method includes: acquiring multi-source perception data and map curve parameters required by the vehicle positioning system during curve driving; quantitatively monitoring the health status of the vehicle positioning system based on the multi-source perception data and map curve parameters to obtain a visual quality score, an inertial measurement unit (IMU) excitation score, and a tightly coupled residual ratio in the curve scenario; weightedly fusing the visual quality score, the IMU excitation score, and the tightly coupled residual ratio to obtain a comprehensive health index of the vehicle positioning system under curve conditions; and automatically matching and executing a corresponding level of degradation strategy based on the comprehensive health index, outputting the vehicle pose including uncertainty measurement, the current system health level, and graded warning information. This application improves the continuity, positioning reliability, and safety of intelligent driving systems.

The application provides a tunnel vehicle positioning and trajectory tracking method, device and system, the method comprising: acquiring lane marking corner point coordinates in the tunnel; determining the coordinates and direction cosine matrix of the stereo camera in the tunnel based on the lane marking corner point coordinates; wherein a plurality of groups of stereo cameras are installed at equal intervals on the tunnel vault center line, and each group of stereo cameras comprises a main camera and an auxiliary camera located on both sides of the tunnel vault center line; determining the monitoring field of view of the stereo camera based on the coordinates and direction cosine matrix of the stereo camera in the tunnel; acquiring images captured by the stereo camera in the monitoring field of view, inputting each frame of image into a trained Swin Transformer model, and obtaining a vehicle detection result; and determining the position and motion trajectory of the vehicle based on the vehicle detection results of different frames of images. The application can solve the technical problem of low accuracy of tunnel vehicle positioning and trajectory tracking results.

This invention relates to the field of charging robot technology, specifically disclosing an automatic charging robot. The robot includes a mounting cover slidably mounted on a protective cover, with a linear module installed inside the protective cover. The slider of the linear module is connected to the mounting cover. A control unit is located inside the protective cover. A vision detection device electrically connected to the control unit is mounted on the top side of the mounting cover, and a sensing unit is located inside the mounting cover. This automatic charging robot, through the coordinated operation of the vision detection device, linear module, posture and position adjustment components, and sensing unit by the control unit, completes the entire automated operation from vehicle positioning, precise alignment, automatic charging gun insertion to removal, completely replacing the traditional method of manually inserting and removing charging guns. This effectively meets the application needs of intelligent scenarios such as smart parking lots and unattended charging stations, significantly improving the convenience and efficiency of charging services.

The application provides a vehicle positioning method, a system, an electronic device and a computer storage medium, and relates to the technical field of automatic driving. In the absence of a fixed base station, the observation data of visible satellites is shared by two vehicles, so that the construction and maintenance costs can be saved, and the two-vehicle sharing can also be adapted to complex scenes and network-uncovered areas. In the positioning process, single-difference and double-difference processing is performed on the common visible satellites of the two vehicles, satellite clock errors, receiver clock errors and most atmospheric errors are eliminated, a high-precision relative baseline vector is obtained, and the obtained perception data of the two vehicles are fused and optimized to obtain the absolute positioning of the two vehicles, so that the positioning precision is improved and the absolute positioning reaches a centimeter-level precision. The purpose of providing stable and high-precision vehicle absolute positioning in a dynamic environment without relying on a fixed base station is achieved.

Title: Vehicle UWB Location Planning A planning method implemented by a vehicle UWB system (hereafter referred to as the planning method) is proposed. The UWB system includes one or more UWB sensors. The UWB system has stored a plurality of wearable identifiers. The plurality of wearable identifiers includes a remote key fob (100). The method includes a reception S10, for each wearable identifier, of a respective programming of UWB locations with the vehicle UWB system. The method includes a detection S20 of an overlap between at least two programmed UWB locations. The at least two overlapping UWB locations include a UWB location with the key fob. The method includes an offset S30, in the respective programming of the key fob, of the overlapping UWB location. The method offers improved use of the vehicle UWB system [Fig. 2]

A Bluetooth-based tire pressure sensor positioning method. The tire pressure sensor positioning method comprises the steps of: S1, establishing a Bluetooth connection between a vehicle ECU and a tire pressure sensor, and establishing clock synchronization on the vehicle ECU and the tire pressure sensor; S2, the tire pressure sensor periodically sending a positioning data packet to the vehicle ECU, wherein the positioning data packet at least comprises a time offset, and the time offset is used for representing a moment at which the tire pressure sensor reaches a reference point; S3, the vehicle ECU calculating, on the basis of the time offset, a corresponding moment at which a vehicle ECU side reaches the reference point; S4, the vehicle ECU compiling statistics on degrees of deviation with respect to acquired ABS information on the basis of the corresponding moment, and determining the position of the tire pressure sensor on the basis of a statistical result; and S5, if the vehicle ECU determines the position of the tire pressure sensor, the vehicle ECU instructing the tire pressure sensor to stop sending the positioning data packet.

The application provides a vehicle congestion detection method and system based on multi-source data fusion, equipment and medium, belonging to the field of vehicle congestion detection. The method comprises the following steps: acquiring visual perception data, vehicle positioning data and terminal service instruction data, and mapping to construct a multi-source fusion object; constructing a dynamic operation mask to verify the legality of the multi-source fusion object; removing functional blocking objects; performing logical conflict judgment on the remaining multi-source fusion objects after verification, and marking objects with physical state of static and service intention indication of driving, idle non-parking or operation timeout retention as abnormal retention nodes; calculating node clustering density and tail reverse spread rate, confirming congestion situation and outputting detection results. The vehicle congestion detection method and system based on multi-source data fusion, equipment and medium provided by the application fuse service instructions and physical perception, and accurately distinguish functional blocking from pathological congestion based on logical conflict.

The application discloses a kind of ship compliance monitoring methods based on unmanned aerial vehicle and AIS data fusion.The method controls satellite positioning module, IMU and vision sensor of unmanned aerial vehicle to collect data;Satellite positioning antenna is compensated using IMU real-time attitude lever arm effect, and the corrected unmanned aerial vehicle coordinates are obtained;Based on vision SFM algorithm and unmanned aerial vehicle positioning displacement baseline, the relative position vector of ship is solved, and the absolute coordinate of ship is obtained by space projection;Through linear interpolation, the time and space alignment of measured data and AIS data is realized;Finally, coordinate deviation is calculated, and dynamic threshold based on flight height, sea state and other environmental parameters is combined to determine the compliance of ship.The application realizes independent high-precision solution and full-dimensional verification of ship position, heading and speed, effectively solves the problems of AIS data fraud identification difficulty, large environmental interference and other problems, and greatly improves the accuracy and intelligent level of maritime non-site law enforcement.

The application discloses an indoor parking lot vehicle positioning and reverse vehicle searching method based on visual semantic analysis, which comprises the following steps: dividing an image into a real physical surface and a mirror virtual image area, and calculating a ground reflection reference surface; establishing a virtual mirror camera symmetrical to the real main camera based on the reference surface, repairing the mirror virtual image feature to the effective observation of the virtual camera; introducing a symmetrical virtual observation factor in pose optimization, jointly optimizing the re-projection error of the real main camera and the virtual camera, converting the mirror interference into a geometric constraint for enhancing positioning, so as to solve the continuous vehicle pose, significantly improve the positioning accuracy and robustness in the mirror reflection scene such as the indoor parking lot, and realize reliable reverse vehicle searching application.

The present disclosure provides a system (104) and a method (800) for vehicle localization in a tunnel, utilizing sensor data and tunnel-specific features. The system (100) is configured to determine the lateral and longitudinal positions of the vehicle (101) in real time. The lateral position is identified by updating a light probability distribution and applying Bayesian filtering to establish the vehicle's ego lanes. Furthermore, a real-time landmark identifier (ID) for lights is generated based on normalized tunnel features, including distances, light intensity, and tunnel geometry. The longitudinal position is determined by matching the generated landmark ID with predefined map data, enabling robust localization for navigation and thus allowing the vehicle (101) to be located in tunnels.

The utility model relates to vehicle positioning technical field more specifically, relates to freight car depot shunting line locomotive vehicle positioning system. Including upper application system, vehicle control unit, line surveying and mapping module, ground positioning module, ground positioning module is composed of passive beacon along the line and is set up on the sleeper, ground positioning module with upper application system electric connection, and each passive beacon position writes in point coordinate ID number, vehicle positioning module, wheel speed detection module, wheel speed detection module installs in locomotive wheel axle and with vehicle control unit electric connection, car coupler working condition detection module, key point correction module. The system can communicate with ground platform in real time, obtain shunting hook plan and magnetic steel signal, push locomotive vehicle position coordinate data, and alarm information such as distance and safety distance of connecting and hanging. The utility model mainly applies to freight car depot shunting line locomotive vehicle positioning.

The application discloses a kind of vehicle-mounted UWB-AOA circular polarization high-precision positioning antenna, it is related to vehicle antenna positioning technical field.The vehicle-mounted UWB-AOA circular polarization high-precision positioning antenna includes: dielectric substrate and radiation layer, and the feed layer below radiation layer, and radiation layer is installed at substrate bottom, it is characterized in that, still include: the one end array of feed layer is close to radiation layer is installed with circular polarization antenna, and vehicle positioning is carried out based on circular polarization antenna, metal shielding layer for isolating external interference is arranged below feed layer, UWB transceiver module is installed below shielding layer, time stamp controller is installed in UWB transceiver module, the present application is positioned based on circular polarization antenna vehicle, to ensure the receiving stability of signal in complex environment, in turn, still can obtain stable and reliable three-dimensional positioning result under complex environment, and then guarantee the high-precision positioning demand of vehicle under dynamic operation condition.

The present disclosure provides a positioning anomaly identification method and device, electronic equipment and storage medium, relates to the technical field of data processing, and particularly relates to the technical field of map positioning, vehicle positioning and intelligent navigation. The specific implementation scheme is as follows: obtaining positioning information of a first terminal; determining a target grid where the terminal is currently located according to longitude and latitude information in the positioning information; determining a reference altitude of the target grid, wherein the reference altitude is related to historical positioning information of a second terminal; and determining whether the positioning information is abnormal according to a positioning altitude in the positioning information and the reference altitude. The abnormality identification is realized only by relying on one long-term effective and maintenance-free reference altitude data, thereby improving the overall experience of navigation.

A computer-implemented method and a system for temporal damage consistency validation, comprising receiving, at one or more processors, a current vehicle scan containing image data and damage detections for a vehicle, retrieving historical damage data for the vehicle from previous scans;, projecting geometric positions of the previously detected damage regions onto corresponding locations in the current vehicle scan using a geometric transformation that accounts for vehicle positioning differences between inspection sessions, matching the projected damage positions with current scan detections using feature vector similarity scoring by computing similarity measures between deep learning feature vectors of projected damage regions and deep learning feature vectors of damage detections found in corresponding areas of the current vehicle scan and classifying damage states based on results of the matching operation.

A method and apparatus for positioning a vehicle in a complex environment, a device, and a storage medium. The method comprises: during driving of a vehicle, a vehicle controller (10) acquires, by means of a positioning device (20) on the vehicle, real-time global navigation satellite system data of the vehicle, and continuously acquires, by means of a camera device (30) on the vehicle, image frames in a driving environment (201); when an error of the global navigation satellite system data reaches an error condition, the vehicle controller (10) determines initial data, the initial data referring to, among global navigation satellite system data respectively acquired at a plurality of time points, global navigation satellite system data having an error not reaching the error condition and having a latest acquisition time (202); on the basis of the image frames respectively acquired at the plurality of time points, the vehicle controller (10) determines real-time relative motion information of the vehicle, the relative motion information comprising at least one of a moving distance and a rotation angle (203); on the basis of the initial data and the relative motion information, the vehicle controller (10) determines real-time positioning data of the vehicle (204); and the vehicle controller (10) corrects the positioning data using real-time kinematic technology, and obtains real-time target positioning data of the vehicle (205).

This invention proposes a method and system for ground handling process analysis and anchoring based on multi-source spatiotemporal fusion. The method includes: collecting flight operation data, ADS-B trajectory data, vehicle positioning data, and onboard process sensor data; unifying execution time and coordinates and cleaning anomalies; extracting flight anchor points based on ADS-B trajectories using Dynamic Time Warping (DTW) to construct flight time / space fences; inputting vehicle positioning data and process sensor data into the vehicle process state machine to obtain structured process instances; retrieving process instances that meet the conditions within the time window and spatial fence; constructing a confidence score based on spatiotemporal distance to achieve accurate binding of processes to target flights. This invention achieves automated analysis and accurate operation anchoring of airport ground handling service processes, contributing to improved ground handling operations.

The application relates to the underground mine unmanned vehicle positioning technical field, in particular to an underground mine environment-based unmanned vehicle repositioning device and system based on road sign recognition, which comprises a bottom plate, the upper surface of the bottom plate is symmetrically provided with transport tracks, the upper surfaces of the two transport tracks are provided with sign position acquisition assemblies in a rolling mode, the sign position acquisition assembly comprises a plurality of roller wheels rolling installed on the upper surfaces of the transport tracks and L-shaped mounting plates fixedly sleeved on the outer surfaces of the roller wheels, the upper ends of the plurality of L-shaped mounting plates are fixedly connected with a machine seat, the upper surface of the machine seat is provided with an image processing module, and the surface of one end of the image processing module is provided with a controller, which is beneficial to the underground mine environment-based unmanned vehicle repositioning based on road sign recognition, can efficiently and accurately identify various traffic signs on the road, including text type traffic signs and other graphic signs, and can identify the approximate position of the vehicle in the mine.

This application relates to a vehicle-mounted WiFi control method, device, vehicle-mounted terminal, and storage medium based on an electronic fence. The method includes: receiving parameters of a target electronic fence configured by a pan-tilt unit (PTZ), wherein the PTN receives vehicle location information uploaded by the vehicle-mounted terminal and sends the target electronic fence parameters based on the vehicle location information; constructing a target electronic fence based on the target electronic fence parameters; acquiring vehicle positioning data; determining whether the vehicle is within the range of the target electronic fence based on the vehicle positioning data and the target electronic fence; and if the vehicle is within the range of the target electronic fence, activating the WiFi function of the vehicle-mounted terminal to connect to a router designated by the PTN. This method allows for flexible configuration of the electronic fence shape, and the constructed electronic fence can accurately match the vehicle's location environment.

This invention provides a real-time route optimization method based on GPS vehicle positioning, belonging to the field of route planning and optimization technology. It acquires GPS positioning data, vehicle load data, hazardous material type data, and road restriction data of hazardous materials transport vehicles, and combines this with feasibility assessment and real-time risk assessment of candidate routes to achieve dynamic route optimization and priority ranking. When temporary traffic control is detected in sensitive areas, the route can be quickly replanned. This invention can significantly improve the safety and flexibility of hazardous materials transportation route planning, effectively reduce potential risks during transportation, and further enhance transportation safety while ensuring transportation efficiency.

This invention relates to the field of intelligent connected low-speed training vehicles, and discloses a method for generating obstacle avoidance paths for such vehicles. The method includes: acquiring vehicle positioning information, a predetermined driving path, and preset obstacle avoidance decision parameters, including obstacle avoidance distance, safety factor, obstacle avoidance path threshold, detour distance threshold, and filtering coefficient; when a static obstacle is detected on the predetermined driving path, acquiring its position and size information, and converting the position information to the vehicle coordinate system; determining the distance information between the vehicle and the static obstacle, determining the obstacle avoidance starting position based on the obstacle avoidance distance and distance information, and calculating the deflection angle based on the size information, distance information, and safety factor; generating an obstacle avoidance path based on the obstacle avoidance starting position, deflection angle, obstacle avoidance path threshold, detour distance threshold, and filtering coefficient, and generating a return path after the vehicle bypasses the static obstacle. This achieves automatic obstacle avoidance of static obstacles for intelligent connected low-speed training vehicles.

A method for directing transport vehicles based on real-time operating parameters of a paving train machine comprises estimating a material productivity value at a current location of the paving train machine, comparing the material productivity value to a threshold productivity value, generating a predicted location for the paving train machine when the threshold will be reached, and communicating the generated predicted location to a transport vehicle. A system for coordinating location of an empty transport vehicle in a paving train comprises a sensor to generate material productivity data for a paving train machine, a controller configured to determine an output rate of the paving train machine, a time when an in-use transport vehicle will be at capacity, and a location for where the in-use transport vehicle will be at capacity, and a communication device for the paving train machine configured to transmit the location to the empty transport vehicle.

The application discloses a logistics information supervision and transportation management system based on a data source, and relates to the technical field of logistics transportation. The transportation management system comprises a multi-source sensing acquisition module, a transportation execution control module and a path and loading / unloading optimization engine. The multi-source sensing acquisition module is used for collecting physical transportation data in real time through a vehicle positioning terminal, a cargo state sensor and a transportation environment monitoring device. The transportation execution control module is connected with the multi-source sensing acquisition module and is used for dynamically adjusting vehicle driving parameters and cargo storage environment according to the collected data. The path and loading / unloading optimization engine has the advantages that: the multi-source sensing acquisition module integrates cargo state and vehicle mechanical data, solves the problem of data fragmentation of traditional systems, the transportation execution control module identifies the cargo type based on an RFID label, dynamically adjusts the temperature and humidity of a refrigerated vehicle compartment in combination with a PID algorithm, realizes accurate control of the cargo storage environment, and reduces the loss rate.

The present application discloses an asphalt pavement structure layer detection system and method, and belongs to the technical field of pavement quality evaluation, and aims to improve the asphalt pavement quality analysis efficiency and improve the evaluation accuracy.The system comprises a detection vehicle and multiple functional modules arranged on the detection vehicle, and the multiple functional modules comprise a laser vibration impact module, a laser acquisition module, a control module, a signal processing module, a vehicle positioning module, a mobile platform, a power supply module, an environment monitoring module, a pavement characteristic sensing module and a human-computer interaction module.The system adopts a non-contact laser vibration impact-acquisition core architecture, integrates environment self-adaptive adjustment, pavement characteristic matching and disease accurate grading functions, realizes continuous, high-precision and automatic detection of typical diseases such as asphalt pavement structure layer cracks, voids, looseness and poor interlayer bonding, and solves the technical problems of environment interference, pavement flatness difference and multi-layer disease coupling identification in actual detection.

This invention discloses a method, apparatus, and device for determining fishing spots based on an in-vehicle interactive platform. It relates to the fields of vehicle and data processing technology. The method includes: determining candidate fishing spots within the target water area based on the user's current in-vehicle positioning coordinates, real-time fused data of each candidate fishing spot, meteorological data, and hydrological data uploaded by anglers within a preset time period, and constructing real-time fused data for each candidate fishing spot; determining a target prediction model from candidate prediction models based on the water type of the in-vehicle positioning coordinates, and predicting the probability of catching fish and the bait suitability probability of each candidate fishing spot in the current environment based on the target prediction model and the real-time fused data of each candidate fishing spot; and determining recommended fishing spots from among the candidate fishing spots based on the probability of catching fish. Through multi-source data fusion and cascaded prediction, the accuracy of fishing prediction is improved, providing users with effective fishing suggestions.