373 results about "Dynamic vehicle" patented technology

A dynamic vehicle tester providing integrated testing and simulation for determining characteristics of a unit under test. Changes occurred on the unit under test are dynamically obtained, considered and incorporated in generating test conditions to be applied to the unit under test. In particular, testing of a vehicle suspension system may be accomplished.

A dynamic ‘vehicle grid’ system provides the ability for drivers to be automatically warned to the conditions of other vehicles in the vicinity. In this grid system, a motor vehicle would be equipped with a transmitter, receiver, computer and a selection of sensors. Other adjacent vehicles are also contain the same of equipment for transmitting and receiving signals. When the sensors in a vehicle detect a change such as hard braking (rapid deceleration) or very slow speed (blockages), it automatically sends this information via the transmitter over a wireless communication channel to any other receivers in the vicinity.

A roll stability control system (18) for an automotive vehicle (10) includes an external environment sensing system, such as a camera-based vision system, or a radar, lidar or sonar-based sensing system (43) that generates image, radar, lidar, and / or sonar-based signals. A controller (26) is coupled to the sensing system and generates dynamic vehicle characteristic signals in response to the image, radar, lidar, or sonar-based signals. The controller controls the rollover control system (18) in response to the dynamic vehicle control signal. The dynamic vehicle characteristics may include roll related angles, angular rates, and various vehicle velocities.

A method for detecting a vehicle-to-vehicle distance and a system thereof are applied in a first vehicle for detecting a distance between the first vehicle and a second vehicle. The method includes focusing on the second vehicle; capturing an image of the second vehicle after the focusing; analyzing the captured image to obtain at least one main feature in the image; determining whether the image is a vehicle license plate according to the main feature; calculating a focusing distance to the second vehicle after the focusing when the image is the vehicle license plate; outputting the calculated focusing distance as the vehicle-to-vehicle distance. A low-cost and reliable dynamic vehicle alarm and protection system can be realized based on the method for detecting a vehicle-to-vehicle distance.

The invention discloses a parking guidance and searching system for a parking lot. The system comprises a plurality of dynamic vehicle data acquisition devices, a data processing device, a dynamic parking guidance device and a vehicle searching device, wherein the dynamic vehicle data acquisition devices are respectively arranged at various intersections of the parking lot and are used for respectively acquiring the information of vehicles which pass through the intersections; the data processing device identifies the vehicles according to the acquired vehicle data at the various intersections and calculates and refreshes the area parking service conditions; the dynamic parking guidance device dynamically displays the parking information in real time according to the vehicle entrance and exit data acquired by an entrance and exit data acquisition device and guides the vehicles; and the vehicle searching device is used for displaying the vehicle parking position, the parking time and the nearest searching path, wherein the vehicle parking position, the parking time and the optimal fetching path information are displayed by swiping card by the owner. The parking guidance and searching system has the functions of parking guidance after vehicle entrance, dynamic vehicle azimuth identification, area parking electronic map display, convenient and rapid vehicle searching and the like.

A computing device configured for communication with at least one autonomously controllable vehicle system or component. The computing device includes one or more processors for controlling operation of the computing device, and a memory for storing data and program instructions usable by the one or more processors. The one or more processors are configured to execute instructions stored in the memory to transmit a message configured to inform a vehicle user of all currently available levels of vehicle automation.

Determining a routing of vehicles for pickup and delivery in a supply chain network, in one aspect, may include generating a plurality of candidate set of routes for vehicles for pickup and delivery to meet demand at multiple target locations. Unsatisfied demand at said multiple target locations resulting from completing pickup and delivery according to the generated plurality of candidate set of routes may be determined. A set of vehicles routes are selected from said plurality of candidate set of routes that minimizes said unsatisfied demand across all said multiple target locations by applying an optimization function.

The invention discloses a data fusion dynamic vehicle detection method based on millimeter-wave radar and machine vision. A millimeter-wave radar data processing module, a vision image processing module and a data fusion processing module are included. Firstly, through sensor joint calibration, a projection matrix of a millimeter wave radar and a visual sensor is obtained, and a conversion relation between a radar coordinate system and an image coordinate system is established; preprocessing the acquired millimeter-wave radar data, performing effective target screening, projecting a radar detection target to a visual image through a conversion relationship, and obtaining a target region of interest according to the position of the projection target; performing target information fusion according to the overlapping condition of the target region of interest obtained from the image processing algorithm and the target region of interest detected by the millimeter-wave radar; and finally,verifying whether there is a vehicle in the fused region of interest based on an image processing algorithm. According to the invention, the front vehicle can be effectively detected, and the system has good environmental adaptability and stability.

A method for transmitting environmental conditions information, comprising, receiving at least some environmental conditions data and / or information, scaling the received environmental conditions data and / or information such that a scaled environmental conditions value is determined for a particular vehicle, and transmitting, in response to a request for environmental conditions information, at least one of the data and / or information relating to the environmental conditions and the dynamic vehicle information.

Embodiments provide consumers browsing and shopping online for durable goods such as new vehicles with pricing information for user-specified vehicle configurations based at least in part on dynamic, user-centric local regions that can be any shape. A local region may initially center around or start from user-provided geo-specific information and be refined using criteria such as distance, demographics, buying behaviors, etc. The system can leverage data from the finest level of granularity available and dynamically determine multiple, potentially overlapping, local regions which can be user-specific, product-specific, or both. A pricing model may incorporate the data within a dynamic local region thus determined. The parameters of the pricing model may be weighted utilizing a weighting function that can be dynamically adapted to individual users as well as specific vehicles. The pricing model may provide for pricing information that is not limited or constrained by standard administrative or political boundaries.

A method for providing vehicle lateral steering control. The method includes providing a mathematical model of vehicle dynamics that includes a state variable, a steering control variable and a future road disturbance factor that defines the upcoming road curvature, banks and slopes of the roadway. The method determines an optimal steering control signal that includes a feedback portion and a feed-forward portion, where the feed-forward portion includes the road disturbance factor. The method determines a state variable and a control variable for the current roadway curvature, bank and slope for stationary motion of the vehicle for constant speed, yaw rate and lateral velocity. The method then introduces a new state variable and control variable for dynamic vehicle motion for variable speed, yaw rate and lateral velocity that is a difference between the state and control variables for predicted future times and the steady state variables.

The invention discloses an urban resident traffic transfer mode discovery system and method based on urban traffic OD data. The system includes a data preprocessing module, a transfer trajectory identification module, a transfer hotspot area discovering module and a group transfer mode exploring module. The system and method provided by the invention are based on a large amount of one-card swiping data during real resident bus travel, and have robustness and general applicability; the discovery of the urban region traffic transfer mode provides data support and reasonable suggestions for the public transport line optimization and the dynamic vehicle scheduling.

The invention discloses a behavior intention fused surrounding dynamic vehicle trajectory prediction system and method. The system comprises a trajectory prediction module and a behavior intention prediction module, the trajectory prediction module takes information of historical trajectories of a target vehicle needing trajectory prediction and vehicles around the target vehicle as input of a long-short-term memory regression neural network, and prediction trajectories of a future time domain are obtained through network prediction; the behavior intention prediction module is used for obtaining probability distribution of behavior intentions obtained based on prediction tracks of a target vehicle and surrounding vehicles by considering behavior interaction between different vehicles and utilizing an LSTM classification neural network; the results of the two modules are fused and input into a multi-modal LSTM trajectory prediction neural network to obtain the position information of the final prediction trajectory. According to the method, the motion information of the vehicle and the information of the surrounding traffic environment are fully utilized, the dynamic change and uncertainty of the traffic environment are considered, the accuracy of trajectory prediction is improved, and the system and method are suitable for more complex driving scenes.

The invention provides a signal lamp mode recognition reminding system comprising a base, a power source module, a digital camera, a center control module and a reminding module. The power source module provides power to the digital camera, the center control module and the reminding module. The digital camera and the reminding module are respectively connected with the center control module. The center control module comprises a positioning sub-module, a speed sensing module and a mode recognition sub-module. The positioning sub-module is used for positioning vehicle running lanes and distances of vehicles from crossings. The digital camera is used for collecting video images in front of the vehicles. The module recognition sub-module is used for analyzing and processing received video images and extracting information of signal lamps. The speed sensing module is used for acquiring running speeds of the vehicles and comparing vehicle speeds with preset dynamic vehicle speed thresholds. The reminding module is used for sending corresponding reminding sounds according to received reminding instructions or information. The signal lamp mode recognition reminding system is used for judging conditions of the signal lamps and reminding drivers when the vehicles approach the crossings.

The invention relates to a dynamic vehicle system information on full windshield head-up display. A substantially transparent windscreen head up display includes one of light emitting particles or microstructures over a predefined region of the windscreen permitting luminescent display while permitting vision through the windscreen. A method to display a graphic head up instrument display upon a substantially transparent windscreen head up display of a vehicle includes monitoring operation of the vehicle, monitoring an operator-defined configuration of the graphic head up instrument display, determining the graphic head up instrument display based upon the operation of the vehicle and the operator-defined configuration of the graphic head up instrument display, and displaying the graphic head up instrument display upon the substantially transparent windscreen head up display.

A driving assisting system includes a traffic signal controller, an RSU, at least one data transmission interface and an OBU. The RSU is electrically connected to the traffic signal controller. The OBU is installed on a vehicle. The traffic signal controller controls a traffic light, which is located at an intersection. The RSU obtains traffic-light information of the traffic light from the traffic signal controller. The OBU receives the traffic-light information through the at least one data transmission interface from the RSU. The OBU generates dynamic vehicle information of the vehicle. The OBU determines if the vehicle will be positioned at a key zone of the intersection when the traffic light switches according to the dynamic vehicle information and the traffic-light information. The OBU responds according to a key zone type of the key zone when the vehicle is positioned at the key zone of the intersection.

The invention discloses a video-based dynamic vehicle queue length estimation method. According to the method, on the basis that the vehicle queue length at a certain moment is obtained exactly by an image recognition technology, a dynamic vehicle queue length estimation model at several future moments is built by combining the flow of vehicles which enter a road section, a timing parameter of a signal lamp is dynamically adjusted by using the estimated vehicle queue length, an estimation scale of road crowdedness degree or time when the road section is about to be crowded with the vehicles is given, and a reference and an evidence are supplied to forced control over traffic overflow.

A turn proportioned turn signaling system for vehicles. The lamp arrays are provided signals from rotary sensors 30 from the steering column, the rack and pinion gear system, or trailer hitch mechanism that either directly affect the signaling pattern or drive a logic control unit that in turn drives the signaling pattern. The signal display panels may consist of a plurality of lamps or light emitting diodes intended to alert the surrounding people and vehicles. The display pattern selected by the logic control unit depends the magnitude and rate of turn.

A driver assistance system is presented, including an event detector which comprises a set of rules defining a surprising event based on signals reflecting a vehicle operator input signals from an object detection sensor. An event data file generator is configured to generate an event data file according to rules comprised in the event detector, the event data file comprising a video signal received from a camera, a signal from at least one dynamic vehicle sensor, and target object information received from the object detection sensor. The event data file generator is further configured to initiate data file generation responsive to a surprising event being detected by the event generator, and wherein the contents of the data file are specified by the rules comprised in the event detector. In this way, surprising events may be collected and analyzed off-board in order to generate updates for the driver assistance system.

The invention provides an orientation attitude determination method oriented to a clock synchronization multi-antenna GNSS receiver. The orientation attitude determination method comprises the steps of establishing a high-accuracy orientation attitude determination model oriented to the clock synchronization multi-antenna GNSS receiver, observing a carrier phase and a pseudo-range in real time and providing a data source for the high-accuracy orientation attitude determination model in a real-time data flow mode, determining parameters to be estimated and constraint information, monitoring and repairing cycle slip, fixing a part of or all ambiguity parameters to an integer value by estimating base line vector parameters and floating point carrier phase ambiguity parameters, using base line length information as additional information, and using the base line length information as pseudo-observation values in the base line vector resolving process to constraint the resolving accuracy of base line vectors; converting the base line vectors into a course angle and a pitch angle to be output through coordinate system conversion. The orientation attitude determination method achieves high-accuracy attitude determination through single difference, is simple in algorithm, can be suitable for high-accuracy real-time orientation attitude determination application under static, quasi-static and dynamic conditions, meanwhile is high in algorithm operating efficiency and is suitable for high-dynamic vehicle-mounted orientation attitude determination.

The invention provides a dynamic vehicle weighing method and system; all shafts of the vehicle to be weighed subsequently drive pass a weighing platform, wherein, the method includes the following steps: the shaft load signal and the shaft type signal of all the shafts of the vehicle to be weighed are collected; the dynamic weighed data and shaft type data of the shafts are generated according to the shaft load signal and the shaft type signal of the shafts; the dynamic weighed data is processed to obtain and weigh effective data; trigonometric function approximation processing is conducted on the shaft weight effective data to obtain the shaft weight benchmark data and the revised data; the shaft weight is obtained according to the shaft type data and the shaft weight benchmark data and the revised data. The invention is used to solve the problem of dynamic weighing of vehicles passing the weighing platform at medium and low speed, and provide weighing schemes meeting the weighing precision requirement for different vehicle types.

A drive system with mixed power for car is composed of engine, motor-generator, the first and the second clutches, input and output planetary gangs, and the first and the second brakes. Its advantages are simple and compact structure, more running modes, and high power performance.

The invention provides a dynamic vehicle monitoring system, comprising cameras which are sequentially arranged at the front part, the rear part and the left and right sides of the vehicle; all cameras are connected with a monitoring processor which is connected with a monitor which is arranged in a cab; the monitoring processor comprises a collecting module, an image conversion module and an image display module which outputs all processed video images to the monitor; the dynamical vehicle monitoring system also comprises an angle controller which drives the lens of the left camera and the right camera to rotate forwards and backwards; the angle controllers are arranged at the left side and the right side of the vehicle; the left camera and the right camera are respectively connected with the angle controllers; the angle controller is connected with a monitoring processor which also comprises a dynamic control module which is used for starting the angle controllers and arranged at the rotation angle of the left camera and the right camera forwards and backwards; the dynamic control module is connected with the angle controller. The dynamic vehicle monitoring system can effectively eliminate the visible blind area at the left part, right part, front part and the rear part of the vehicle, and has a good guiding function.

The invention provides an intelligent matching and route optimization-base carpooling method and system. The method includes the following steps that: a passenger travel information set and a vehicle state information set are acquired; spatial-temporal distances between passengers and vehicles are calculated, a passenger and vehicle matching candidate set is created according to the calculated spatial-temporal distances, the travel time of the passengers and the number of the passengers; an integer planning model is created, and passenger and vehicle matching results are obtained according to the created integer planning model; and based on the combination of the passenger and vehicle matching results and real-time traffic states, time-varying Dijkstra's algorithm or a time-varying A star algorithm is utilized to obtain optimal vehicle driving paths. According to the intelligent matching and route optimization-base carpooling method, dynamic traffic information is utilized to measure the spatial-temporal proximity of the travel demands of individuals; spatial-temporal locality is adopted to guide group intelligent carpooling matching; and dynamic vehicle paths with minimum cost are designed; and therefore, spatial-temporal precise matching of massive travel demand services and efficient path planning can be realized.

A human driving behavior modeling system using machine learning is disclosed. A particular embodiment can be configured to: obtain training image data from a plurality of real world image sources and perform object extraction on the training image data to detect a plurality of vehicle objects in the training image data; categorize the detected plurality of vehicle objects into behavior categories based on vehicle objects performing similar maneuvers at similar locations of interest; train a machine learning module to model particular human driving behaviors based on use of the training image data from one or more corresponding behavior categories; and generate a plurality of simulated dynamic vehicles that each model one or more of the particular human driving behaviors trained into the machine learning module based on the training image data.

A real time dynamic vehicle parking price management method, system and processor-readable medium. Two factors can be considered in determining the parking price: the real time occupancy level and the historic parking demand. An assured price that follows from a background schedule can be pre-determined based on a historic parking data. Future demand can be estimated based on the historic occupancy data and price and the assured price can be made proportional to the estimated demand. The assured price can be simplified to be intuitive and easy to remember. A real time parking price can be determined by an occupancy feedback control. A controller can be employed to track the occupancy and to suggest the parking price in real time based on an occupancy set point to improve economic efficiency and reduce cruising for parking.

The invention discloses a dynamic video road license plate identification method. Through extracting roadside dynamic vehicle monitoring videos to realize automatic license plate number identification and record, the information and the locus information of vehicles can be conveniently tracked; the information is acquired through multiple cameras, image pre-processing, license plate area positioning, license plate character segmentation and HDRBM character identification of the frame image information acquired from video flows are carried out, identified license plates are saved to a text according to camera numbers, license plate numbers and the monitoring time, the search-needing license plate numbers are ordered according to the time sequence, the cameras through which the vehicles pass can be acquired according to the camera number information, the locus of the vehicles can be tracked according to the road information of the cameras. The method is advantaged in that license plate positioning under the complex background environment can be satisfied, a high character identification rate is realized, and demands for searching the target vehicles on roads can be satisfied.