304 results about "Vehicle guidance" patented technology

In one aspect, a method is provided for controlling access to a facility including a movable barrier and a plurality of loading docks. The method includes receiving, from a user device associated with a vehicle, a check-in communication that includes a check-in identifier. The method includes receiving a verification communication that verifies a presence of the vehicle relative to a sensor associated with the movable barrier. The method further includes causing a movable barrier operator associated with the movable barrier to move the movable barrier between closed and open positions in response to the check-in identifier indicating authorization to access the facility and in response to receiving the verification communication. Further, the method includes selecting a particular loading dock from the plurality of loading docks and communicating a loading dock identification representative of the particular loading dock to the user device to direct the vehicle to the particular loading dock.

Techniques for providing remote guidance to a vehicle operating in an environment, by an operator located in the environment, are described herein. The operator can include a safety observer configured to observe one or more vehicles operating in the environment and may identify a scenario that requires a modification to a vehicle operation (e.g., stop forward movement, change direction of travel, modify a maximum speed, etc.). The operator may access a graphical user interface (GUI) via an operator computing device, and may input a constraint to modify the vehicle operation. The vehicle computing system may receive a control signal including the constraint, and may modify a vehicle trajectory based on the constraint. The vehicle computing system may later determine that a condition associated with the constraint is satisfied, and may continue vehicular operation in absence of the constraint.

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 relates to the field of unmanned aerial vehicles, and discloses an intelligent parking system based on low-altitude unmanned aerial vehicle guidance, which comprises a processing module, a parking lot and vehicles parked in the parking lot, parking spaces for parking the vehicles are arranged in the parking lot, and each parking space is provided with a vehicle sensing sensor for sensing the vehicle. According to the invention, the processing module is utilized to record the vehicle entry information and the information of the parking spaces where no vehicle is parked, and the distance between each parking space and the entrance is calculated, so that accurate management of parking lot resources is realized. The unmanned aerial vehicle flies in front of the driven-in vehicle according to an instruction of the processing module and guides the vehicle to the nearest idle parking space, meanwhile, the prompting light plate is turned on, visual guidance is provided for a driver, and disordered parking is avoided. The charging track extends in the arrangement direction of the parking spaces, the unmanned aerial vehicle can be charged on the charging track and does not need to frequently return to a charging station, the problem that the unmanned aerial vehicle is inconvenient to charge is solved, and system operation efficiency is improved.

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.

An apparatus guides a land vehicle along a pathway on which there are one or more side targets with different radar reflectivity characteristics compared to the pathway. The apparatus comprises a radar sensor, a processor, and an inertial measurement unit (IMU). The radar sensor is mounted to the vehicle and configured to radiate to the pathway one or more signals having a main beam pattern center aimed toward the ground and sideways from the vehicle. The radar sensor is further configured to detect one or more reflection signals from one or more of the side targets along the pathway. The processor is configured to determine based on a reflection signal a lateral distance between the vehicle and a side target as the vehicle passes or first encounters the side target. The IMU is configured to determine a change of lateral position of the vehicle between side targets.

The invention relates to the technical field of traffic monitoring, and discloses an intelligent system for traffic flow monitoring, which comprises a flow monitoring and shunting module, a blockage dredging module and a vehicle guidance navigation module. The flow monitoring and shunting module is used for monitoring the traffic flow on the road in real time. The method is used for predicting whether a congestion risk exists when the traffic flow is monitored to be too large. The traffic flow distribution module is used for notifying a traffic management center to distribute traffic flow after the congestion risk exists. And the congestion dredging module is used for displaying the road congestion information and the detouring suggestions. The method is used for adjusting traffic light passing time. And the vehicle guiding navigation module is used for displaying an optimal lane navigation route and guiding a driver to drive to the optimal lane and drive away from a current congested road section. And meanwhile, the vehicle is dredged and navigated to the optimal road section.

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.

Various apparatus and procedures for improved operation of a working vehicle are provided. One embodiment provides for identifying areas where the vehicle must decrease speed in order to avoid damage to the vehicle or implement. Another embodiment provides for calculating the radius of an upcoming curve and adjusting vehicle speed as needed to avoid damage to the vehicle, implement, objects, or the work area. Another embodiment provides for adapting turning speed while maintaining acceptable path error. Another embodiment provides a method for directing a vehicle to an evacuation location. Another embodiment provides a method for switching vehicle and implement control from cloud-based control algorithms to in-vehicle control algorithms in the event of an evacuation.

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).

A parking assist system including an obstacle detector acquiring obstacle information around a vehicle and a parking-slot-entry path generator setting a target position in a parking area based on the obstacle information, and generating a parking-slot-entry path for guiding the vehicle to the target position. The system also includes a traveling controller to control the vehicle based on the parking-slot-entry path, where the obstacle information is updated due to movement of the vehicle with the target position updated based on updated obstacle information. A turning path generator generates a turning path for guiding the vehicle away from the parking area when a predicted arrival position of the vehicle present on the parking-slot-entry path corresponding to the target position before update is determined to be closer to an obstacle than the target position after the update and the vehicle is controlled to travel on the basis of the turning path.

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 present invention discloses a navigation processing method, device, navigation system and medium, and relates to the field of navigation technology. The grid position of a preset time period and the posture information of the vehicle in each preset time period are recorded in the map information. In the vehicle guidance process, each target space feature point is mapped on the gridded spherical surface to obtain the target position of each target space feature point mapped on the gridded spherical surface. After matching the target position with the grid position of the preset time period recorded in the map information, the posture information of the vehicle in the current time period during the guidance process is determined according to the posture of the preset time period corresponding to the maximum sum of the successfully matched grid areas, so as to realize the positioning of the vehicle in the guidance process, and determine the speed of the vehicle according to the posture of the adjacent time period; there is no measurement error caused by a third-party measurement tool, the measurement accuracy is improved, the measurement cost is reduced, and it can be shared for positioning for a variety of vehicle models, and has universality.

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 relates to a method and a device for operating a vehicle, wherein a degree of damage or a state of health of at least one component of a steering system of the vehicle is determined as an estimated variable (SG), wherein steering assistance external to the steering system is generated if at least one damage criterion, which is evaluated as a function of the at least one estimated variable (SG), is met and a steering operation is detected, wherein vehicle guidance is supported during the steering operation by the steering assistance external to the steering system.

A system for positioning a vehicle at a charging station. The system comprises: a wireless communication arrangement comprising a first communication device configured to wirelessly communicate with a second communication device by a wireless protocol; a vehicle positioning arrangement comprising a transmitting antenna configured to transmit a detection signal, and a receiving antenna configured to receive the detection signal. The transmission of the detection signal by the transmitting antenna and / or the detection of the detection signal by the receiving antenna is controlled to determine an angle between the transmitting antenna and the receiving antenna, which angle is used to guide the vehicle to a predetermined position at the charging station. The first communication device comprises one of the transmitting antenna and receiving antenna of the vehicle positioning arrangement.

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.