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372 results about "Dynamic vehicle" patented technology

Parking guidance and searching system for parking lot

ActiveCN102819965ASolve the guideSolve the problem of fast car searchIndication of parksing free spacesParking areaData acquisition
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.
Owner:深圳市红门智慧停车科技有限公司

Data fusion dynamic vehicle detection method based on millimeter wave radar and machine vision

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.
Owner:NANJING UNIV OF AERONAUTICS & ASTRONAUTICS

Behavior intention fused surrounding dynamic vehicle trajectory prediction system and method

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.
Owner:NANJING UNIV OF AERONAUTICS & ASTRONAUTICS

Signal lamp mode recognition reminding system and method

ActiveCN103236178ASolve the problem of safe driving by mistakenly running red and yellow lightsImprove traffic efficiencyRoad vehicles traffic controlVideo imageReal-time computing
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.
Owner:JIANGSU CAS JUNSHINE TECH

Orientation attitude determination method oriented to clock synchronization multi-antenna GNSS receiver

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.
Owner:EAST CHINA NORMAL UNIV

System for monitoring dynamic vehicle

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.
Owner:符巨章

Intelligent matching and route optimization-base carpooling method and system

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.
Owner:SHENZHEN UNIV
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