CN213303095U - Road test device based on artificial intelligence - Google Patents
Road test device based on artificial intelligence Download PDFInfo
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- CN213303095U CN213303095U CN202021956761.1U CN202021956761U CN213303095U CN 213303095 U CN213303095 U CN 213303095U CN 202021956761 U CN202021956761 U CN 202021956761U CN 213303095 U CN213303095 U CN 213303095U
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Abstract
The utility model belongs to intelligent transportation system electronic toll field, especially a way survey device based on artificial intelligence, the resolution ratio to current microwave radar is lower and interference immunity is weaker, the wave beam is wide, resolution power and the not enough problem of angle measurement precision, the following scheme of now proposing, it includes DSRC module, millimeter wave radar module, camera module, artificial intelligence processing module, control module and power and communication interface module, DSRC module, millimeter wave radar module and camera module all are connected with artificial intelligence processing module, the utility model discloses realize intelligent traffic management and regulation, finally reach the purpose of alleviating traffic jam, be the balanced solution of cost, precision, speed.
Description
Technical Field
The utility model relates to an intelligent transportation system electronic toll technical field especially relates to a drive test device based on artificial intelligence.
Background
In the technical field of electronic toll collection of intelligent traffic systems, a road side unit based on DSRC transaction and radar technology is developed; referring to fig. 1, the structure includes a DSRC transaction module, a radar module, a control module, a power supply and communication interface module; the DSRC transaction module transmits and receives signals through an array antenna, and then completes the functions of modulation and demodulation, coding and decoding and the like, so as to realize interaction with an OBU; the radar module is used for determining vehicle information; the control module receives vehicle information of the radar module, and transmits and receives interactive information with the OBU through the DSRC transaction module; the power supply and communication interface module supplies power to the control module, the radar module and the DSRC module and ensures accurate communication among the modules; the radar has multi-target resolution capability, the roadside unit measures the distance of the same target through a plurality of radar hosts, can calculate the three-dimensional space coordinate of the detected target, can accurately transact with an OBU (on Board Unit) through the combination of the DSRC transaction module and the radar module, effectively solves the problems of adjacent channel interference, transaction and the like, and improves the transaction success rate.
The road side unit based on DSRC (dedicated short-range communication technology) transaction and radar technology is very dependent on the positioning function of radar to the vehicle; the positioning capability of the radar is related to the resolution, the resolution refers to the capability of distinguishing front, back, left and right adjacent targets at a certain distance, and obviously, the higher the resolution is, the stronger the identification capability of the radar is; the resolution of the radar is closely related to the frequency used by the radar, and the higher the frequency is, the higher the resolution is, and the stronger the positioning capability is; whereas the radar of the above technology is typically a microwave radar; microwave radars generally can only find large targets such as tall buildings, airplanes, ships and the like, and the resolution ratio is relatively low; the radar has requirements on the resolution, and the anti-interference is also an important problem to be solved by the radar, otherwise, the high resolution cannot play a role; when a microwave radar is used for detecting a ground or low-altitude target, an echo signal is often submerged by a reflected wave on the ground, so that a blind area which cannot be detected occurs; therefore, we propose an artificial intelligence based drive test device to solve the above problems.
SUMMERY OF THE UTILITY MODEL
The utility model aims at solving the problem that the resolution ratio of microwave radar is lower and interference immunity is weaker, the wave beam is wide, and the resolving power and the survey angle precision are not enough among the prior art, and the road test device based on artificial intelligence who proposes.
In order to achieve the above purpose, the utility model adopts the following technical scheme:
the utility model provides a road test device based on artificial intelligence, includes DSRC module, millimeter wave radar module, camera module, artificial intelligence processing module, control module and power and communication interface module, DSRC module, millimeter wave radar module and camera module all are connected with artificial intelligence processing module, and artificial intelligence processing module is connected with control module, control module is connected with power and communication interface module.
Preferably, an array antenna is connected to the DSRC module.
Preferably, the millimeter wave radar module is connected with a receiving antenna and a transmitting antenna.
Preferably, the DSRC module, the millimeter wave radar module and the camera module are all in two-way connection with the artificial intelligence processing module, and the artificial intelligence processing module is in two-way connection with the control module.
Preferably, the power supply and communication interface module is respectively connected with the DSRC module, the millimeter wave radar module, the camera module and the artificial intelligence processing module.
The utility model discloses in, a drive test device based on artificial intelligence
The method comprises the steps of improving a microwave positioning radar to be a millimeter wave radar, simultaneously adding a camera module to assist the millimeter wave radar in collecting vehicle information, introducing an artificial intelligence module to carry out multi-source data analysis on collected information, and achieving the purposes of monitoring road traffic running conditions in real time, eliminating road potential safety hazard events, detecting vehicle running behaviors and the like; compared with a microwave radar, the millimeter wave radar has the following characteristics:
(1) under the condition that the antenna apertures are the same, the millimeter wave radar has narrower wave beams (generally in the order of milliarcs), can improve the radar resolution capability and the angle measurement precision, and is beneficial to resisting electronic interference, clutter interference, multipath reflection interference and the like;
(2) due to high working frequency, large signal bandwidth and Doppler frequency shift can be obtained, which is beneficial to improving the measurement precision and resolution capability of distance and speed and analyzing target characteristics;
(3) the antenna aperture and the size of the components are small, the weight is light, and the antenna is favorable for carrying;
the camera module can reduce the dependence of the road side unit on the radar module and can effectively supplement the area which cannot be related to the radar; for example, the camera module is dedicated to collect characteristic information (such as number plate, color, face shape, contour, shape, running state, etc.) of target objects such as vehicles, drivers, pedestrians, markers, etc. on a traffic road, provides the characteristic information to control software or equipment for artificial intelligence analysis processing, analyzes decision schemes and processing plans according to set algorithms, and can automatically control the whole system for linkage processing.
The RSU antenna integrated with the artificial intelligence technology combines the characteristics of radar accurate event detection, video visualization and artificial intelligence self-learning evolution, optimizes multi-target three-dimensional scanning and vehicle tracking algorithms, realizes quick and accurate vehicle characteristic identification, tracking and positioning functions, accurately detects, tracks and monitors videos of vehicles within a target range all weather, detects and processes various abnormal events, combs a lane transaction queue, supports the rapid transaction of the RSU antenna and a vehicle-mounted OBU, realizes lane vehicle queue transaction, improves lane transaction accuracy and improves lane passing efficiency.
The utility model integrates RSU of artificial intelligence technology, and combines millimeter wave radar and camera to collect information; the millimeter wave radar measures distance and speed and tracks the object track; the camera probes the shape, the advantages are complementary, and the information fusion of target data is realized; the artificial intelligence carries out data analysis and density estimation on the traffic flow, realizes intelligent traffic management and regulation, finally achieves the purpose of relieving traffic jam, and is a balanced solution of cost, precision and speed.
Drawings
Fig. 1 is a schematic block diagram of a prior art of an artificial intelligence-based drive test device provided by the present invention;
fig. 2 is the utility model provides a schematic block diagram of drive test device based on artificial intelligence.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments.
Referring to fig. 2, the road test device based on artificial intelligence comprises a DSRC module, a millimeter wave radar module, a camera module, an artificial intelligence processing module, a control module, a power supply and a communication interface module, wherein the DSRC module, the millimeter wave radar module and the camera module are all connected with the artificial intelligence processing module, the artificial intelligence processing module is connected with the control module, and the control module is connected with the power supply and the communication interface module.
The utility model discloses in, the DSRC module is connected with array antenna.
The utility model discloses in, millimeter wave radar module is connected with receiving antenna and transmitting antenna.
The utility model discloses in, DSRC module, millimeter wave radar module and camera module all with artificial intelligence processing module both way junction, and artificial intelligence processing module and control module both way junction.
The utility model discloses in, power and communication interface module are connected with DSRC module, millimeter wave radar module, camera module and artificial intelligence processing module respectively.
The utility model relates to a Road Side Unit (RSU: Road Side Unit) integrated with artificial intelligence technology; the structure of the system comprises a DSRC module, a millimeter wave radar module, a camera module, an artificial intelligence processing module, a control module, a power supply and a communication interface module; the DSRC transaction module transmits and receives signals through an array antenna, and then completes the functions of modulation and demodulation, coding and decoding and the like, so as to realize interaction with an OBU; the millimeter wave radar module is used for collecting vehicle information; the camera module is used for taking pictures of related vehicles so as to perfect the collected information; the artificial intelligence processing module monitors traffic conditions through a radar sensor and a camera, and then based on an artificial intelligence technology deep learning algorithm, the artificial intelligence processing module adopts TensorFlow (TensorFlow is a symbolic mathematical system based on data flow programming, and is widely applied to programming realization of various machine learning (machine learning) algorithms, and the front body of the artificial intelligence processing module is a target detection and target tracking technology of a neural network algorithm library DistBelef of Google to analyze and evaluate lane states and acquire information such as license plate numbers and positions of vehicles; the control module receives the data information of the radar and the data information of the artificial intelligence module, and controls the DSRC transaction module to transmit and receive the interactive information with the OBU; the power supply and communication interface module supplies power to the artificial intelligent processing module, the control module, the millimeter wave radar module, the camera module and the DSRC module, and ensures accurate communication among the modules;
the millimeter wave radar can realize high-precision target speed detection through the Doppler shift principle, and is less influenced by illumination and weather factors; the camera scheme is low in cost, can identify different objects, has advantages in the aspects of object height and width measurement precision, lane line identification, pedestrian identification accuracy and the like, and is an indispensable sensor for realizing the functions of lane departure early warning, traffic sign identification and the like; therefore, the camera and the radar are fused, and then the road side unit is formed by matching with an artificial intelligence processing system; firstly, a camera and a millimeter wave radar respectively collect data aiming at an observed target to obtain different perception information, and the information can be mutually supplemented; then, the artificial intelligence processing system performs feature extraction and pattern recognition processing on output data of each sensor, and accurately associates targets according to categories; and finally, integrating all sensor data of the same target by using an artificial intelligence fusion algorithm so as to obtain a consistency conclusion about the target.
The utility model provides an RSU antenna integrated with artificial intelligence technology, which is not limited to the description in the technical proposal; therefore, all equivalent changes or modifications made according to the structure, characteristics and principles described in the claims of the present invention should be included in the claims of the present invention.
The above, only be the concrete implementation of the preferred embodiment of the present invention, but the protection scope of the present invention is not limited thereto, and any person skilled in the art is in the technical scope of the present invention, according to the technical solution of the present invention and the utility model, the concept of which is equivalent to replace or change, should be covered within the protection scope of the present invention.
Claims (5)
1. The utility model provides a way survey device based on artificial intelligence, includes DSRC module, millimeter wave radar module, camera module, artificial intelligence processing module, control module and power and communication interface module, its characterized in that, DSRC module, millimeter wave radar module and camera module all are connected with artificial intelligence processing module, and artificial intelligence processing module is connected with control module, control module is connected with power and communication interface module.
2. The artificial intelligence based drive test device of claim 1 wherein an array antenna is connected to the DSRC module.
3. The artificial intelligence based drive test device according to claim 1, wherein the millimeter wave radar module is connected with a receiving antenna and a transmitting antenna.
4. The artificial intelligence based road test device of claim 1, wherein the DSRC module, the millimeter wave radar module and the camera module are all bidirectionally coupled to the artificial intelligence processing module, and the artificial intelligence processing module is bidirectionally coupled to the control module.
5. The artificial intelligence based road test device of claim 1, wherein the power supply and communication interface module is respectively connected with the DSRC module, the millimeter wave radar module, the camera module and the artificial intelligence processing module.
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| CN202021956761.1U CN213303095U (en) | 2020-09-09 | 2020-09-09 | Road test device based on artificial intelligence |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113596779A (en) * | 2021-08-18 | 2021-11-02 | 英华达（南京）科技有限公司 | Road side unit device, Internet of vehicles system and calculation force distribution method |
| CN114373298A (en) * | 2021-12-16 | 2022-04-19 | 苏州思卡信息***有限公司 | Method for calculating lane number by adopting roadside laser radar |
| WO2024067439A1 (en) * | 2022-09-30 | 2024-04-04 | 维沃移动通信有限公司 | Data set generation method, information sending method, apparatus, and related device |
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2020
- 2020-09-09 CN CN202021956761.1U patent/CN213303095U/en active Active
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113596779A (en) * | 2021-08-18 | 2021-11-02 | 英华达（南京）科技有限公司 | Road side unit device, Internet of vehicles system and calculation force distribution method |
| CN114373298A (en) * | 2021-12-16 | 2022-04-19 | 苏州思卡信息***有限公司 | Method for calculating lane number by adopting roadside laser radar |
| CN114373298B (en) * | 2021-12-16 | 2023-02-17 | 苏州思卡信息***有限公司 | Method for calculating lane number by adopting roadside laser radar |
| WO2024067439A1 (en) * | 2022-09-30 | 2024-04-04 | 维沃移动通信有限公司 | Data set generation method, information sending method, apparatus, and related device |
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