273 results about "Vehicle guidance" patented technology

The invention relates to an expressway toll station management system, which is applied to the technical field of expressway toll station management, and the method comprises a vehicle detection module which is used for detecting vehicle information, and the vehicle information comprises traffic flow information and vehicle identity information; the vehicle guiding module is used for guiding the vehicle to enter a target lane based on the vehicle identity information; the vehicle weighing module is used for weighing vehicles entering and exiting the toll station; the vehicle charging module is used for charging the vehicle according to a preset rule and the vehicle identity information; the lane management and control module is used for controlling opening and closing of a lane based on the traffic flow information; and the manual allocation module is used for allocating workers based on the traffic flow information. The method has the effect of improving the management efficiency of the highway toll station.

The present disclosure relates to a directed electric vehicle charging system for generating revenue and methods thereof. More particularly, this disclosure describes a telematics service provider that maintains relationships with charging stations and their associated stores such that revenue may be realized by directing vehicles to those charging stations. In an illustrative embodiment, the telematics service provider may receive a charge event from a vehicle and in turn, the provider provides an appropriate charging station to that vehicle. An amount spent at the charging station including its associated stores are tracked when the vehicle charges at the charging station. After completing the charging and the vehicle leaves the area, the amount spent is tallied and provided to the telematics service provider. A portion of the amount spent may then be sent to the telematics service provider for the recommended charging station.

The invention relates to a self-adaptive vehicle washing system for an engineering vehicle and a control method. According to the self-adaptive vehicle washing system for the engineering vehicle and the control method, the existence, contour and dirt characteristics of the vehicle are automatically detected through the sensing recognition system, the cleaning logic is autonomously executed in combination with the intelligent control system, vehicle guiding, equipment starting and stopping and washing operation do not need to be manually intervened, the cleaning efficiency is improved, and the working efficiency is improved. And continuous operation requirements of industrial scenes such as metallurgy and mines are met. The spray washing system adopts a top spray head and a lateral spray head which can move longitudinally and transversely to be matched with a fixed chassis spray head, and contours of different vehicles can be accurately covered; according to the method, grating sensing data and an image recognition result are fused through a lightweight convolutional neural network, the vehicle type and the dirt adhesion level are accurately judged, the water pressure, the nozzle angle and the cleaning time are dynamically adjusted, optimal matching of cleaning parameters is achieved, the water consumption and energy consumption are reduced, and meanwhile a cleaning program is continuously optimized through machine learning.

Described are various embodiments of a vehicle guiding system and method. In some embodiments, the system comprises an AI-augmented vehicle-specific constraints database combining multiple data sources and used for generating optimized routes. The system may further include an intermediate layer of links or interface configured to connect with known and new turn-by-turn driver tools / applications and allow the AI-augmented constraints database to be used. The system may be coupled with a plurality of telematics systems monitoring the vehicle to provide an independent feedback loop which allows the system to react in real-time, and establish performance metrics and measurements for invoicing and reporting purposes. In some embodiments, the system may be coupled to one or more traffic management subsystems or devices.

The invention discloses an unmanned aerial vehicle static target collision method, device and equipment and a medium, and relates to the technical field of multi-rotor unmanned aerial vehicle photoelectric guidance. And according to the area proportion of the target imaging, performing segmentation processing on photoelectric pod guidance to complete target collision. In the data processing process, the target position does not need to be calculated, and the target collision success rate is improved while the calculation amount is reduced. The method is mainly used for the collision task of the unmanned aerial vehicle to the static target, and solves the unmanned aerial vehicle guidance problem in the collision process of the target after the target is locked. By adopting the method and the strategy, the defect that the control response speed of a low-cost photoelectric pod holder is low is overcome, the global position coordinate of the target does not need to be calculated by the photoelectric pod, and the target collision hit rate is increased.

The invention discloses a vehicle guiding method and device, a storage medium and electronic equipment, and relates to the technical field of vehicle guidance, and the method comprises the steps: carrying out the recognition of a target vehicle which is to be driven into a target plant area at present, and obtaining the vehicle information of the target vehicle; querying pre-stored information of each vehicle in a preset database based on the vehicle information to obtain a query result; when the query result is that target vehicle pre-stored information corresponding to the vehicle information exists in the preset database, planning a path of a target vehicle based on a target unloading point in the target vehicle pre-stored information and a current vehicle running state to obtain a guide path; and guiding the target vehicle to drive to the target unloading point based on the guiding path. The method can be applied to factories with unattended operation points, and manpower and material resources are saved.

The invention provides a speed planning method and device for an autonomous vehicle, electronic equipment and a medium. The speed planning method comprises the following steps: clustering historical driving tracks of a target vehicle in an afflux area in front of the autonomous vehicle to generate a traffic flow guide line of the afflux area; generating a target vehicle guide line according to driving information of a target vehicle and the traffic flow guide line; clustering the historical speed of the target vehicle in the confluence area to generate the confluence traffic flow speed of the target vehicle; and processing the afflux traffic flow speed and the target vehicle guide line through a decision algorithm to obtain the target speed of the own vehicle so as to solve the problem that the speed of the own vehicle cannot be accurately planned.

A wheel suspension for a vehicle comprises: - a guide tube (10) which assumes an operating position and, in the operating position, can be mounted or is mounted on a vehicle chassis or is fixedly connected thereto or is part thereof and which has, in the operating position on or as part of the vehicle chassis with respect to a vehicle standing on a level horizontal underlying surface, a guide tube axis extending vertically or at an incline with respect to a vertical direction in accordance with a target guide tube angle; - a wheel fork (3) which has two fork blades (4) and is mounted on the vehicle chassis in at least one mounting region at least by means of the guide tube (10) in the operating position thereof; and - mounting devices, at free end regions of the fork blades, for rotatably mounting a running wheel (2) between the fork blades. According to the invention, the wheel fork (3) is relatively movably mounted or can be relatively movably mounted radially outside on the guide tube (10) by means of the mounting region (5, 6) of the wheel fork.

The invention discloses a vehicle guiding method and device, equipment, a storage medium and a product. The method comprises the following steps: acquiring main road vehicle information and ramp vehicle information of a target road section; determining a main road congestion condition according to the main road vehicle information, and determining a ramp congestion condition according to the ramp vehicle information; according to the main road congestion condition and the ramp congestion condition, whether a rightmost lane of the main road is reserved or not is judged; and sending corresponding guide information to the main road vehicle of the target road section according to the judgment result. According to the method, the ramp congestion condition is reduced, the traffic efficiency is improved, and the risk of accidents is reduced.

The invention relates to the technical field of material filling equipment, in particular to an automatic aligning device for bulk material filling. Comprising an automatic positioning system which adopts a visual identification technology to monitor the position of a vehicle and the state of a tank opening in real time and ensure accurate positioning of a discharging pipe and a tank truck feeding opening; the vehicle guiding system is electrically connected with the automatic positioning system, comprises a voice broadcasting system and a display system and is used for displaying the butt joint state of the discharging pipe and the discharging opening to a driver in real time; and the aligning system is electrically connected with the automatic positioning system and drives the discharging pipe to move to the feeding port according to the vehicle identification and positioning result, and discharging aligning is achieved. Through a visual identification technology, accurate identification and automatic guidance of a vehicle position are realized, a driver is assisted to rapidly carry out fine adjustment on the vehicle, and automatic loading is completed through linkage with loading equipment. According to the system, the loading efficiency can be remarkably improved, the labor cost is reduced, and the loading precision is improved.

The invention discloses an underground parking lot intelligent dynamic parking guidance and management system, and relates to the technical field of intelligent traffic, and the system comprises the steps: building a parking lot space map according to the obtained target underground parking lot space distribution information, carrying out the real-time monitoring through a sensor network, and obtaining parking space use data, a parking lot real-time map is generated based on the parking space use data, vehicle information is acquired through entrance intelligent identification equipment, a target parking space is determined based on matching analysis of the vehicle information and the real-time map, and a parking guide route is obtained based on the parking lot real-time map and parking space planning analysis by adopting a route planning algorithm. And the vehicle is guided to the parking space through the guiding route, and payment management is carried out. The technical problem that the parking efficiency is low due to the fact that an underground parking lot lacks rapid and accurate vehicle guiding means and efficient parking space resource management capacity is solved, and the technical effects of rapidly and accurately guiding vehicles, efficiently managing parking space resources and improving the parking efficiency are achieved.

One aspect relates to a method for training a trajectory (12) for a vehicle (3), along which the vehicle (3) drives into a parking area (P), wherein, during a training drive, the environment (11) of the vehicle (3) is captured using a first capture device (7, 8, 9) of the vehicle (3), which first capture device constitutes a first type of function with respect to the type of capture and / or a capture state and / or the position on the vehicle and / or the orientation on the vehicle (3), and the trajectory (12) is determined on the basis thereof, wherein, during a subsequent drive which follows the training drive and in which the vehicle (3) drives to the parking area (P) at least in certain regions, the environment (11) is captured using a second capture device (7, 8, 9) of the vehicle (3), which second capture device constitutes a second type of function differing from the first type of function with respect to the type of capture and / or a capture state and / or the position on the vehicle (3) and / or the orientation on the vehicle (3), wherein the trajectory (12) is updated on the basis of the information captured by the second capture device (7, 8, 9). A further aspect relates to an electronic vehicle guidance system (5).

The invention relates to the technical field of data management, in particular to a smart city operation management center data sharing system based on a layered architecture. Comprising a data acquisition module used for determining each congested road section of an urban road in a preset historical period according to historical traffic data and analyzing an influence factor matched with each congested road section; the real-time road condition data module is used for acquiring a current time period, calling a potential congested road section of the current time period from the database, acquiring a current traffic flow condition of the potential congested road section, and marking the potential congested road section as a target road section according to whether the potential congested road section is congested or not; the navigation data acquisition module is used for acquiring navigation data, determining a vehicle which is about to pass through a target road section according to the navigation data, and marking the vehicle as a target vehicle; and the vehicle guiding module selects a guiding vehicle according to the distance between each target vehicle and the target road section and the distance between the destination of the target vehicle and the target road section, and sends a guiding strategy to the guiding vehicle.

The invention relates to a system for a vehicle (1) for preventing a collision with an obstacle, comprising a primary sensor unit with a camera and a secondary sensor unit with a radar unit and / or lidar unit, and a computing unit configured to specify a maximum permissible speed for the vehicle (1) such that the vehicle (1) can be brought to a standstill within a line of sight (3) of the secondary sensor unit, to reduce the maximum permissible speed in the event of object detection without object classification, based on the data of the secondary sensor unit in front of the vehicle (1), so that the vehicle (1) can be brought to a standstill within a line of sight (5) of the primary sensor unit, and to specify a deceleration of the vehicle (1) in the event of object detection and object classification of a detected object as an obstacle, based on the data of the primary sensor unit.to bring the vehicle (1) to a standstill in front of the obstacle.

The invention discloses an electric vehicle charging station cooperative scheduling and dynamic regulation and control method based on a space-time demand gradient. The method comprises the following steps: step 1) obtaining space-time characteristics of a charging station; 2) based on historical operation characteristics, classifying the charging stations according to the utilization rate; 3) based on the time-space characteristics of the charging stations, predicting the future short-term coincidence rate of each type of charging stations to obtain the future short-term coincidence rate of the charging stations; if the future short-term coincidence rate of the charging station is greater than a preset threshold value, entering a step 4), otherwise, returning to the step 1) after T time; 4) calculating a space transfer identifier; 5) calculating the total demand transfer amount of each charging station by using a double-pressure module, and 6) solving the MPC-based multi-target rolling optimization model in a rolling manner in each decision period, and generating and executing an electricity price adjustment strategy and a vehicle guiding strategy. The time-space equilibrium distribution of the charging coincidence rate is realized, the congestion is effectively relieved, and the comprehensive benefit of the system is improved.

The invention relates to a method for the radar-based localization of an object by means of a radar system (2), to a method for the supervised training of a learning algorithm for emulating a virtual antenna array, to a method for the at least partially automatic guidance of a vehicle (1), to a data processing system (3), to a radar system (2) for the localization of an object, to an electronic vehicle guidance system for the at least partially autonomous guidance of a vehicle, and to a computer program product. The method for localization comprises the following steps: - receiving first radar data (7) of a first antenna array of a first radar sensor (4) of the radar system (2); - receiving second radar data (8) of a second antenna array, different from the first antenna array, of a second radar sensor (5) of the radar system (2); - generating third radar data (10) by emulating a third antenna array, different from the first and second antenna arrays, depending on the first radar data (7) and the second radar data (8); and - localizing the object depending on the third radar data (10).

Computer-implemented systems and methods are provided for automatically conforming guidance of work vehicles to detected conditions in a work area. Upon determining a deviation of a work vehicle's current movement path from a first planned movement path with respect to the work area, at least a portion of the work area may be identified as a region of interest, along with coverage characteristics associated with the region of interest, based at least in part on the determined deviation. A second planned movement path is generated for the work vehicle and / or another work vehicle subsequently traversing the work area relative to the region of interest, wherein the generated second planned movement path accounts for the coverage characteristics associated with the region of interest. The second planned movement path may be generated to avoid the region, prevent turns within the region, optimize work vehicle operation within the work area generally, etc.

This invention relates to a method for automatically guiding a vehicle (1) along a predetermined target trajectory, the target trajectory being characterized by geometric trajectory parameters. The method comprises at least the following steps: - knowing the actual deviation between the vehicle (1) and the target trajectory; - generating adjustment parameters based on the known actual deviation, such that the vehicle (1) approaches the target trajectory during automated drive control based on the generated adjustment parameters; - knowing whether there is an undesirable driving state at the current time point and / or future time point when the vehicle (1) approaches the target trajectory based on the generated adjustment parameters, wherein the undesirable driving state is known from the predetermined target trajectory based on the geometric trajectory parameters; and - when it is confirmed that there is an undesirable driving state at the current time point and / or future time point, - automatically driving the vehicle based on the generated stability parameters, and / or - adjusting the target trajectory.

The invention relates to a method for radar-based localization of an object using a radar system (2), a method for at least partially automated driving of a vehicle (1), a data processing system (3), a radar system for localizing an object, an electronic vehicle guidance system for at least partially automated driving of a vehicle, and a computer program product. The localization method comprises the following steps: - Receiving first radar data (7) from a first antenna array of a first radar sensor (4) of the radar system (2); - Receiving second radar data (8) from a second antenna array of a second radar sensor (5) of the radar system (2), different from the first antenna array; and - Determining an azimuthal angle and / or an elevation angle and / or an incidence angle for the object depending on input data (6) which includes the first radar data (7) and the second radar data (8), using a trained learning algorithm (9).

The invention provides a vehicle operation display method, system and device and a medium, and relates to the technical field of vehicle guidance, and the method comprises the steps: determining a vehicle owner type of a user at a current driving position; under the condition that the vehicle owner type is a non-default vehicle owner, acquiring a first point location sequence for guiding a basic operation behavior of the non-default vehicle owner; according to a point position sequence in the first point position sequence, controlling an omnibearing emitter to sequentially rotate to each point position of the first point position sequence, and emitting a visible light beam to an operation part corresponding to the current point position; and outputting guidance information corresponding to the current point location to guide the basic operation behavior of the non-default vehicle owner every time the vehicle owner rotates to one point location. The method aims at efficiently assisting a driver to be familiar with vehicle operation so as to improve the vehicle using experience of the driver.

The invention relates to a method (1000) for guiding a vehicle, comprising the following steps: receiving and / or invoking (150) sensor data, a termination criterion of a vehicle assistance system and a destination; identifying and / or tracking (200) a traffic object based on the sensor data; identifying (300) a driving operation of the traffic object based on the tracking of the traffic object; identifying (400) a congestion situation in the vehicle surroundings (1) by means of the identified driving operation; and taking over (500) autonomous longitudinal and lateral guidance of the vehicle (100) to a target location, the longitudinal and lateral guidance of the vehicle (100) to the target location being taken over (500) as long as a termination criterion of the driver assistance system is satisfied. The invention also relates to a controller, a vehicle, a computer program and a machine-readable storage medium.

The application discloses a vehicle guiding method and a vehicle, and relates to the field of vehicle driving. The method comprises the following steps: detecting a passing object on a target road through a roadside device arranged on the target road to obtain roadside radar data; receiving vehicle radar data sent by a target vehicle driving on the target road; fusing the roadside radar data and the vehicle radar data to obtain target radar data; and planning a passing mode of the passing object on the target road based on the target radar data. The application solves the technical problem that the passing efficiency of the vehicle on the road is low due to the limited detection range of the roadside device.

A driving planning method and apparatus, a terminal device, and a storage medium. The driving planning method comprises: in response to identifying that an ego vehicle has entered an intersection, acquiring intersection layout information corresponding to the intersection (S10); generating a vehicle guidance line on the basis of the intersection layout information, and acquiring static obstacle information and / or dynamic obstacle information corresponding to the current time node (S20); and generating a target planned path on the basis of the static obstacle information and / or the dynamic obstacle information combined with the vehicle guidance line (S30). The traffic efficiency of vehicles at intersections is improved, and the flexibility and safety of vehicle movement are ensured.

Systems and methods are disclosed for controlling operations of autonomous vehicles and systems in, for example, logistics yards at distribution, manufacturing, processing and / or other centers for the transfer of goods, materials, and / or other cargo. In some embodiments, an autonomous yard tractor or other vehicle can include one or more systems for locating an over-the-road trailer parked in a yard of a distribution center, engaging the trailer, and moving the trailer to a loading dock for loading / unloading operations in accordance with a workflow procedure provided by a central control system. In other embodiments, an autonomous yard tractor can locate the trailer at the loading dock after the loading / unloading operations, engage the trailer, and move the trailer to a parking location in the yard. In some embodiments, the autonomous yard tractor can include a sensor system configured to detect the position of the trailer relative to, for example, the tractor, and / or the dock station can include a sensor system configured to detect the position of the trailer relative to, for example, the dock station during a docking procedure.

The invention discloses an intelligent road cone and a vehicle dynamic guiding method, and belongs to the technical field of intelligent traffic facilities, the intelligent road cone comprises a cone structure, a counterweight base, a sensing unit module, a microcontroller, a communication module and a warning module.The inclination state is monitored through a posture detection assembly, a sensing unit collects multi-dimensional data, and the warning module sends the multi-dimensional data to the microcontroller; according to the guiding method based on the road cone, coherent electromagnetic waves are emitted through the intelligent road cones on the two sides of a road to form an interference enhancement area, a repulsive force-gravitational force virtual force field model is constructed in combination with multi-channel signal detection, and the interference enhancement area and the repulsive force-gravitational force field model are combined. And guiding the vehicle to drive towards a safe area by using the control logic that the gravitation weight is dynamically higher than the repulsive force. According to the invention, hot plug expansion is realized by adopting a modular architecture, the structural stability and the function expansibility are enhanced, the vehicle guiding precision is improved through dual-source electromagnetic wave interference and an intelligent control algorithm, the traffic conflict risk in a construction area is effectively reduced, and the road construction safety and the management efficiency are improved.

This invention relates to the field of digital parking management technology and discloses a digital twin-enabled digital full-domain parking management system. The system includes generating a full-domain digital twin model of the parking lot, integrating multi-source sensing data such as parking space status, vehicle identity, and environmental parameters; combining user parking requests and real-time parking space status to generate a parking space allocation matrix with priority and time windows; outputting a set of timestamped vehicle guidance paths based on parking space QR code hardware parameters, the digital twin model, and the parking space allocation matrix; constructing a real-time obstacle avoidance and dynamic adjustment system to generate a set of safe driving paths for vehicle dispatch; combining energy storage unit power, power distribution network data, and the set of safe driving paths to output a power distribution control command set and update the digital twin model; and finally, achieving system knowledge evolution and end-to-end closed-loop optimization through dispatch execution logs. This system achieves efficient full-domain parking management, improving parking space utilization, vehicle dispatching, and energy utilization.

The present disclosure relates to managing navigation in two-wheeled vehicles (102-1, 102-2, …, 102-N). The method includes receiving a multi-stop travel itinerary on an electronic dashboard (106) of the two-wheeled vehicles (102-1, 102-2,..., 102-N) involved in a group travel session. Upon initiation of the group travel session, the electronic dashboard (106) of each two-wheeled vehicle (102-1) receives real-time location information of other participating two-wheeled vehicles. At the electronic dashboard (106) of a two-wheeled vehicle (102-1), a selection of another vehicle from the group is received. In response, navigation instructions are provided on the electronic dashboard (106) of the two-wheeled vehicle (102-1) to guide the two-wheeled vehicle (102-1) to a current location of the selected two-wheeled vehicle.

The invention relates to the technical field of parking lot management, in particular to a smart parking lot management method and system, electronic equipment and a storage medium. According to the intelligent parking lot management method and system, the electronic equipment and the storage medium provided by the invention, the technical problem that a parking lot management method in the prior art cannot effectively prompt a user of a parking space position is solved. The invention discloses a smart parking lot management method, and the method comprises the steps: obtaining vehicle information, planning a parking position and a vehicle travel route of an entering vehicle in a parking lot according to the parking habit of a vehicle corresponding to the vehicle information, and pushing the vehicle travel route to a vehicle-machine system of the corresponding vehicle. And tracking the advancing direction and the advancing speed of the vehicle in the parking lot in real time, turning on a lighting lamp in the parking lot according to the advancing direction and the advancing speed of the vehicle in the parking lot, and finally guiding the vehicle to a corresponding parking space.

The present invention provides a concealed track pavement structure and a method for collaborative vehicle guidance for unmanned heavy-load highway projects. An asphalt surface layer is overlaid on a graded, crushed stone, flexible base layer. Within the graded, crushed stone, a continuous array of collaborative guidance track beams is embedded along the highway's direction. 5G sensors and guidance magnetic pins are embedded in the beams along their lengths. These sensors and magnetic pins are configured to collaboratively guide vehicles positioned directly above the beams, ensuring that their wheels remain directly above them during travel. The resulting pavement structure accommodates a mix of standard and heavy-load vehicles and provides the ability to guide vehicles for automatic travel.

The invention relates to a method for operating a motor vehicle (10) by means of an electronic vehicle guidance system (12) based on a semantic map (24) of the surroundings of the motor vehicle (10). The semantic map (24) contains semantic map information (26) that describes at least one object (28) in the surroundings of the motor vehicle (10).The method comprises capturing additional object information about the at least one object (28) by means of at least one first sensor (16) of an environment sensor system (14) of the motor vehicle (10), determining a deviation between the semantic map information (26) and the additional object information as a function of the deviation, determining a correction factor for the at least one object (28) that is sensor-specific for the at least one first sensor (16) of the environment sensor system (14), integrating the correction factor into the semantic map information (26), and locating the motor vehicle (10) in the semantic map (24) on the basis of the semantic map information (26), taking into account the sensor-specific correction factor.