CN213904658U

CN213904658U - A equip for unmanned car teaching

Info

Publication number: CN213904658U
Application number: CN202022384353.XU
Authority: CN
Inventors: 廖晓燕; 马琼雄; 杨锡宏; 温海; 翁健威; 何健辉; 李春宇; 叶朗桦
Original assignee: South China Normal University
Current assignee: South China Normal University
Priority date: 2020-10-23
Filing date: 2020-10-23
Publication date: 2021-08-06
Anticipated expiration: 2030-10-23

Abstract

The utility model discloses equipment for unmanned vehicle teaching, which comprises an intelligent trolley and an unmanned vehicle track; the intelligent car is provided with the main control device, the power supply device, the vision device, the voice device, the driving device, the line searching device and the speed measuring device, so that not only can basic functions of line searching, speed measuring and the like be realized, but also interaction of voice and vision can be realized. The track comprises 5 parts, namely a departure area, a crossroad area, a red and green light area, a voice control area and a parking area, and the intelligent car can automatically run along a set route of a map and can perform different actions according to different road conditions. The utility model discloses can simulate real unmanned sight, individualized customization racetrack reinforcing is interesting, and the student can oneself link up the module through the combination, turn to the individualized racetrack that module and functional module formed the overall arrangement and differ, the degree of difficulty differs, help the student improve the degree of concentration in classroom and participate in the sense, and have more the appeal, more can arouse middle and primary school student's creativity and imagination, improve the interest of unmanned study.

Description

A equip for unmanned car teaching

Technical Field

The utility model relates to a middle and primary schools' artificial intelligence teaching aid technical field, concretely relates to equipment for unmanned car teaching.

Background

Under the era background of gradual popularization and popularization of the artificial intelligence education of primary and secondary schools, the artificial intelligence courses of the primary and secondary schools are continuously developed, and a plurality of classic artificial intelligence course classic cases are also developed, wherein the classic application of unmanned automobiles as artificial intelligence is also a large part of the artificial intelligence courses. Unmanned car in real life mainly includes five parts: the system comprises a sensing module, an automatic driving computer, a power supply module, a signal communication module and an execution and braking module. The sensing module adopts various sensors, so that the automatic driving can detect, track and identify the turnover object and sense the road environment; the in-vehicle computer is responsible for carrying out automatic driving calculation work, automatically planning a driving route and controlling an execution and braking module, and is a core control part of the unmanned vehicle; the power supply module is responsible for supplying power to the whole vehicle equipment; the signal communication module is responsible for communication among the computer, the sensor and the actuating mechanism; the execution and braking module comprises a motor, a brake and the like and is responsible for the moving part of the unmanned automobile. The five parts are mutually connected, so that the vehicle can safely and reliably run on the road.

The core technology of the perceptual environment part of the unmanned vehicle is image recognition. The algorithm with the highest recognition accuracy is a convolutional neural network in the field of computer vision at present. The deep learning model is a model built by utilizing a convolutional neural network, so that how students can better understand the basic principle of deep learning and understand artificial intelligence in the teaching of key technologies such as deep learning, image recognition and the like in the design of the unmanned course is always a key part and a difficult part of teaching. Due to the complexity of the unmanned technology, a proper teaching aid needs to be matched with the unmanned classroom, the threshold for realizing the unmanned technology is reduced, the classroom can be assisted, and a good teaching effect is achieved.

However, the teaching aids for the artificial intelligence unmanned curriculum in middle and primary schools on the market can be roughly divided into two types, one type is the automatic driving of the trolley realized by the inspection trolley utilizing the infrared sensor, the structure is simple, the realized technical threshold is low, the core of the unmanned technology, namely artificial intelligence, is far away from the structure and technical realization of the unmanned automobile in real life, and is not beneficial for students to understand the basic principles of the unmanned realization process, deep learning, image recognition and other technologies in real life, and the teaching requirements can not be met. Another kind then has written the intelligent dolly of artificial intelligence algorithm such as convolutional neural network for the integration, the function solidification, the student can only use its function of setting for, difficult creation and expansion, this kind of teaching aid student can't write unmanned car control and identification procedure by oneself, experience unmanned car solitary control process and identification process, and the combination effect between them, the study nature and the interest that lead to artificial intelligence relevant knowledge in the unmanned car are not enough, be unfavorable for reaching in the unmanned course perception and experience the educational objective of artificial intelligence technique in the real life at first.

SUMMERY OF THE UTILITY MODEL

In view of this, in order to solve among the prior art unmanned teaching aid and the too big and unmanned problem that artificial intelligence knowledge learning nature is not enough in the unmanned driving of reality technical gap, the utility model provides an equipment for unmanned vehicle teaching.

The utility model discloses an above-mentioned problem is solved to following technical means:

an apparatus for unmanned vehicle teaching, comprising an intelligent vehicle and an unmanned vehicle track;

the intelligent trolley comprises an intelligent trolley body, the intelligent trolley body comprises a trolley body structure and wheels, and the wheels are mounted at the bottom of the trolley body structure;

the intelligent trolley body is fixedly provided with a main control device, a power supply device, a vision device, a voice device, a driving device, a line searching device and a speed measuring device;

the main control device comprises an expansion board and a raspberry pie, wherein the expansion board is electrically connected with the raspberry pie;

the expansion board comprises a power supply circuit, a PWM circuit, an encryption circuit, a 3.3V voltage stabilizing circuit, a motor driving circuit, a buzzer circuit, an infrared remote control circuit, a general IO interface, a sensor interface, a motor interface, a PWM interface and a battery interface;

the power circuit is respectively electrically connected with the raspberry and the battery interface and supplies power to the main control device through an external battery or an adapter;

the PWM circuit is respectively electrically connected with the raspberry, the motor driving circuit and the PWM interface to generate PWM signals to control the motor driving circuit and the PWM interface on the expansion board;

the motor driving circuit is respectively electrically connected with the raspberry and the motor interface, two chips are used, each chip generates two paths of driving, and four paths of driving current are output to the motor interface;

the encryption circuit is electrically connected with the raspberry pie and sends the generated serial code to the raspberry pie in real time, and a user can enter an interface of the main control device only after the correct serial code is identified;

the 3.3V voltage stabilizing circuit is respectively electrically connected with the raspberry and the buzzer circuit, and is used for stabilizing 5V power supply to 3.3V and supplying power to the buzzer circuit;

the universal IO interface is electrically connected with the raspberry group and provides a universal IO interface for the main control device;

the infrared remote control circuit is electrically connected with the raspberry pie, and a user remotely controls the expansion board through infrared remote control;

the sensor interface is electrically connected with the raspberry pi and provides a sensor interface for the main control device;

the power supply device comprises a battery, the battery is electrically connected with a battery interface on the expansion board and used for supplying power to the intelligent trolley, and the battery is connected with the battery interface so as to supply power to the main control device;

the vision device comprises a camera, is electrically connected with the raspberry group and is used for acquiring the scene of the intelligent trolley in the advancing process and sending the scene to the raspberry group;

the voice device comprises a microphone and a sound box, and the microphone and the sound box are both connected with the raspberry pie;

the driving device comprises a motor which is electrically connected with a motor interface on the expansion board, the motor is controlled by the raspberry through being connected with the motor interface on the expansion board, and wheels rotate under the driving of the motor to form the motion of the intelligent trolley body;

the line searching device comprises 2 infrared sensors which are electrically connected with sensor interfaces on the expansion board to realize the classic infrared line searching function;

the speed measuring device comprises a coding disc and a photoelectric gate, the coding disc is electrically connected with the photoelectric gate, the photoelectric gate is electrically connected with a general IO interface on the expansion board, the lattice number of the coded disc which is rotated is continuously measured and detected by a timer of the raspberry group within a certain period and is converted into the linear speed of the wheels, so that the speed of the left wheel and the speed of the right wheel of the trolley are obtained;

the unmanned vehicle track comprises a ground area and a road surface indicating board;

the ground area comprises a departure area, a crossroad area, a red and green light area, a voice control area and a parking area;

the road surface indicating boards comprise a start/stop two-dimensional code, a left-turn/right-turn direction indicating board, a traffic light area indicating board, a voice control area indicating board and a parking area indicating board; the scene of the crossroad, the traffic light and the parking lot, where the unmanned vehicle runs on the road, can be simulated in the real life scene.

Further, the ground area comprises a function module, a connection module and a steering module;

the shape of the template adopted by the functional module and the connection module is square;

the function module comprises a departure area module, a crossroad area module, a traffic light area module, a voice control area module and a parking area module; each functional module is provided with a square frame for placing an indicator board frame and a white stop line, and a road indicator board with a specific function is stuck on the indicator board frame;

the connection module comprises a straight module, a 90-degree turning module and a converging road module; the intelligent car routing competition track is used for connecting the functional modules or independently splicing the functional modules into a routing competition track of the intelligent car;

the steering module is a module for turning at 45 degrees, the shape of the template is one eighth of a circle, and the intelligent trolley is guided to run obliquely in the process of splicing the tracks.

Further, the template adopted by the functional module and the connection module is in a square shape of 40 cm.

Furthermore, each functional module is provided with a square frame with the side length of 6cm for placing the indicator board frame and a white stop line with the length of 2 cm.

Further, the vertical distance between the lowermost edge of the white stop line and the farthest edge of the square frame was uniformly set to 38 cm.

Further, the specific form of the unmanned vehicle track is determined by randomly splicing and combining a connection module, a steering module and a function module; the linking module can independently form a hunting track of the trolley, and the functional module can be added in due time according to teaching requirements and is used for increasing the difficulty of the track; the linking module, the steering module and the functional module which are required for forming a complete track are not fixed, and the modules can be combined by students at will to form personalized customized tracks with different difficulty and forms; all the functional modules are distinguished through road surface indication boards.

Further, the height of the indicator board frame is adjustable.

Further, except that the start/stop two-dimensional code and the traffic light zone sign are not blue ground color, other signs are all blue ground color.

Further, the camera is electrically connected with the raspberry pie through a USB port.

Further, the microphone is electrically connected with the raspberry pi through a USB port, and the sound box is connected with the raspberry pi through Bluetooth.

Compared with the prior art, the beneficial effects of the utility model include at least:

1. the utility model discloses the function is abundant, and the process of realizing on one of them unmanned vehicle racetrack of splicing and the sight of unmanned vehicle in the real world are comparatively laminated, can help the artificial intelligence knowledge in the better understanding unmanned driving of student.

2. The utility model discloses realize unmanned course teaching, simplify the hardware connection. The unmanned working process is realized on the set unmanned vehicle track, the operation is simple, more time and energy can be saved to learn artificial intelligence knowledge embodied in the unmanned vehicle and feel the realization of various functions in the unmanned vehicle, and the important function of the artificial intelligence technology in the unmanned vehicle is achieved, so that the teaching purpose of the unmanned course is achieved.

3. The utility model discloses individualized customization track reinforcing is interesting. The student can form the individualized track that the overall arrangement is different, the degree of difficulty is different through combination linking module, turn to module and functional module oneself, helps the student to improve concentration degree and the sense of participation in classroom, and has more appeal, more can arouse middle and primary school student's creativity and imagination, improves the interest of unmanned study.

4. The utility model discloses a whole set of required cost is lower. The raspberry pie is selected as the main control core, is used as a microcomputer, has strong operational capability, does not need a pc (personal computer), and can be used as a whole set of teaching aid only by configuring an SD (secure digital) card, a screen, a mouse and a keyboard. The car adopts car model and motor with lower cost, and infrared sensor, photoelectric door, camera, microphone, audio amplifier etc. are all common sensors on the market, and the interface setting on the expansion board is general mouth. The telescopic indicator board frame used by the unmanned vehicle track adopts 3D printing technology and is low in cost.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.

Fig. 1 is a schematic structural view of the teaching equipment for the unmanned vehicle of the present invention;

fig. 2 is a schematic circuit diagram of the main control device for teaching of the present invention;

FIG. 3 is a schematic diagram of the connection mode between the GPIO interface with 40 pins of the raspberry pi and the expansion board;

FIG. 4 is a schematic diagram of the power supply circuit of the present invention;

fig. 5 is a schematic diagram of the PWM circuit of the present invention;

fig. 6 is a schematic diagram of the PWM interface of the present invention;

fig. 7 is a schematic diagram of the motor driving circuit of the present invention;

fig. 8 is a schematic view of the motor interface of the present invention.

Fig. 9 is a schematic diagram of the encryption circuit of the present invention;

FIG. 10 is a schematic diagram of the 3.3V voltage regulator circuit of the present invention;

fig. 11 is a schematic diagram of the buzzer circuit of the present invention;

fig. 12 is a schematic diagram of the infrared remote control circuit of the present invention;

fig. 13 is a schematic diagram of a sensor interface of the present invention;

fig. 14 is an overall connection diagram of the inventive device for unmanned vehicle teaching;

FIG. 15 is a diagram of various modules of the unmanned vehicle track of the present invention; wherein, the lower right corner is a unique number of each module; wherein, No. 2, No. 3, No. 4, No. 5 and No. 6 are functional modules, No. 1, No. 7, No. 8, No. 9, No. 10, No. 11 and No. 12 are linking modules, and No. 13 is a steering module;

FIG. 16 is a diagram of one of the tracks assembled by the modules of the unmanned vehicle track according to the present invention;

FIG. 17 is another illustration of the unmanned vehicle racetrack of the present invention assembled from modules;

fig. 18 is an external view of the start/stop two-dimensional code of the present invention;

FIG. 19 is an external view of the left/right turn direction indicator of the present invention;

FIG. 20 is an external view of the red/green light zone indicating board of the present invention;

fig. 21 is an external view of the voice control area indicating board of the present invention;

fig. 22 is an external view of the parking lot field sign of the present invention.

Detailed Description

In order to make the above objects, features and advantages of the present invention more comprehensible, embodiments accompanying the drawings are described in detail below. It should be noted that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments, and all other embodiments obtained by those skilled in the art without any inventive work are within the scope of the present invention.

As shown in figure 1, the utility model provides an equip for unmanned car teaching, including intelligent vehicle and unmanned car racetrack.

The intelligent trolley comprises an intelligent trolley body, wherein the intelligent trolley body comprises a trolley body structure and wheels, and the wheels are installed at the bottom of the trolley body structure.

The intelligent trolley is characterized in that a main control device, a power supply device, a vision device, a voice device, a driving device, a line searching device and a speed measuring device are fixedly mounted on the intelligent trolley body.

As shown in fig. 2, the master control device includes an expansion board and a raspberry pi, and the expansion board is electrically connected to the raspberry pi (as shown in fig. 3).

The expansion board comprises a power supply circuit, a PWM circuit, an encryption circuit, a 3.3V voltage stabilizing circuit, a motor driving circuit, a buzzer circuit, an infrared remote control circuit, a general IO interface, a sensor interface, a motor interface, a PWM interface and a battery interface.

As shown in fig. 4, the power circuit is electrically connected to the raspberry pi and the battery interface, and can supply power through an external battery or an adapter of the raspberry pi, and when the battery is used for supplying power, the TPS54540DDAR is used to stabilize the 12V voltage of the battery to 5V voltage. The same type master control set on the market, the GPIO interface through raspberry group mostly supplies power to raspberry group, because GPIO interface lacks the power protection, works as and send the too big electric current of input or voltage to raspberry, burns raspberry group extremely easily, causes user's loss of property. Therefore the utility model discloses the expansion board extremely attaches importance to the protection of power, has adopted two automatic re-setting fuses, is 4A and 2A respectively, protects expansion board and raspberry group respectively according to the current limitation. For preventing the electric current from flowing backward, the utility model discloses the expansion board has used SS34 schottky diode to protect, and it is separated like motor module and raspberry group power module with the heavy current peripheral hardware, has improved the product security.

As shown in fig. 5-6, the PWM circuit is electrically connected to the raspberry pi, the motor driving circuit, and the PWM interface, and the PWM circuit generates a PWM signal by using a chip PCA9685 to control the motor driving and PWM output interfaces on the expansion board, which has the following advantages: the utility model discloses 4 way motor interface and 8 way PWM output interfaces have been integrateed to the expansion board, need to reach 12 way PWM signals as many as and control, traditionally use the GPIO pin of raspberry group to produce the PWM signal, nevertheless excessively occupy GPIO pin and produce the waste that PWM can cause the resource, so this expansion board adopts powerful chip PCA9685 to produce the PWM signal. The chip is controlled by IIC communication, and can generate 16 paths of PWM signals at most by only occupying 2 paths of GPIO interfaces, and the precision is 12 bits. The PWM signal generated by using the independent chip is more convenient to overhaul and lower in maintenance cost, and a mature library is provided in the aspect of software driving, so that the development period of software is shortened.

As shown in fig. 7-8, the motor driving circuit is electrically connected to the raspberry pi and the motor interface, the motor driving circuit uses two chips DRV8833, the DRV8833 is electrically connected to the raspberry pi pin and is electrically connected to the output of the PWM circuit, each chip generates two driving paths, and four driving currents are output to the motor interface.

As shown in fig. 9, the encryption circuit is electrically connected to the raspberry pi, the chip used by the encryption circuit is STM32F042F6P6, a sequence code generation algorithm is burned on the chip, the expansion board sends the sequence code generated by the algorithm to the raspberry pi in real time, when the correct sequence code is identified, the user can enter the software system matched with the expansion board, otherwise, the user cannot enter the program interface. After the expansion board is identified and tracked, the system collects data through the server background for analysis, obtains basic conditions such as product use frequency and service life, and provides personalized customization of teaching equipment for clients.

As shown in fig. 10, the 3.3V voltage regulator circuit is electrically connected to the raspberry pi and the buzzer circuit, the 3.3V voltage regulator circuit regulates the 5V power supply to 3.3V to supply power to the buzzer circuit, and the adopted voltage regulator chip is AMS 1117.

As shown in fig. 11, the buzzer circuit includes a passive patch buzzer, an SS 8050Y 1 triode, a 1N4148WS T4 zener diode, a capacitor C1, a resistor R4, and a resistor R5.

The general IO interface is electrically connected with the raspberry group and provides a general IO interface for the main control device. The universal IO interface is provided with 3pin and 4pin IO ports, and the intelligent trolley can be expanded.

As shown in fig. 12, the infrared remote control circuit is electrically connected with the GPIO18 of the raspberry pi, and a user can remotely control the expansion board through infrared remote control.

As shown in fig. 13, the sensor interface is electrically connected to the raspberry pi to provide a sensor interface for the main control device.

The sensor interface and the PWM interface are ZH1.5 terminals.

The motor interface and the battery interface are XH2.54 terminals.

The power supply device comprises a battery, the battery is electrically connected with a battery interface on the expansion board and used for supplying power to the intelligent trolley, and the battery is connected with the battery interface and then supplies power to the main control device.

The vision device comprises a camera, is electrically connected with the raspberry group and is used for acquiring the scene of the intelligent trolley in the advancing process and sending the scene to the raspberry group.

The voice device comprises a microphone and a sound box, and the microphone and the sound box are connected with the raspberry pie.

The driving device comprises a motor and is electrically connected with a motor interface on the expansion board, and the driving device solves the problem that the raspberry group GPIO is low in current and not enough to drive the motor. And the intelligent vehicle is combined with a PWM chip, so that the rotating speed of the 4-path motor can be directly controlled, and the speed of the intelligent vehicle in the moving process can be adjusted. The motor on the intelligent vehicle body is connected with the motor interface on the expansion board and controlled by the raspberry pie, and the wheels are driven by the motor to rotate to form the motion of the intelligent vehicle body.

The line hunting device comprises 2 infrared sensors which are electrically connected with a sensor interface on the expansion board, and the classic infrared line hunting function is realized by adopting the infrared sensors with low cost. The general IO mouth of enough quantity has been drawn forth on the expansion board for the line searching module of dolly can increase infrared sensor's quantity, carries out abnormal judgement through increasing infrared sensor about both ends, when reducing the transfer of line searching process and bend by a wide margin, and the probability that the dolly rushed out the racetrack, thereby improved intelligent vehicle stability of seeking lines.

The speed measuring device comprises a coding disc and a photoelectric gate, the coding disc is electrically connected with the photoelectric gate, the photoelectric gate is electrically connected with a general IO interface on the expansion board, a timer used for dispatching the raspberry continuously measures the number of coded disc grids rotated in a certain period and converts the coded disc grids into the linear speed of wheels, and therefore the speed of the left wheel and the right wheel of the trolley is obtained. The speed obtained by feedback can enable the low-cost trolley to stably seek the line through the regulation of the PID controller.

As shown in fig. 14, power supply unit, drive arrangement, hunting device, the used sensor of speed sensor all use one end to have the general IO mouth on standardized mouth to be connected with the expansion board, and vision device and speech device's microphone are directly connected with the raspberry group through the USB mouth on the raspberry group, and speech device's audio amplifier is directly through bluetooth and raspberry group and carry out wireless connection. The expansion board is electrically connected with the raspberry pie through the pin header.

As shown in fig. 15-22, the unmanned vehicle track includes a ground area and pavement indicators. The ground area comprises a departure area, a crossroad area, a red and green light area, a voice control area and a parking area. The road sign board comprises a start/stop two-dimensional code, a left-turn/right-turn direction sign board, a traffic light area sign board, a voice control area sign board and a parking area sign board. The scene that unmanned vehicles drive on crossroads, traffic lights, parking lots and the like on the roads in real life scenes can be simulated. Except that the start/stop two-dimensional code and the traffic light zone signs are not blue ground color, other signs are all blue ground color.

The ground areas of the unmanned vehicle track are of square splicing structures, each ground area is designed into an independent splicing type module, and the road black lines among the modules can be always kept well connected in the process of randomly splicing and combining by a user through ingenious design. The ground area is divided into three modules, namely a function module, a connection module and a steering module, the shape of the template adopted by the first two modules is 40cm square, and the teaching aid is convenient to arrange, store and carry in a unified manner. The template that turns to the module and adopt is one eighth of circle, and the shape is unique, can give the brand-new concatenation experience of user.

The five-function module comprises a departure area module, a crossroad area module, a traffic light area module, a voice control area module and a parking area module. Every function module all is provided with one and places the square frame that the length of side of signboard frame is 6cm and the long white stop line of a 2cm, can place the signboard frame that pastes and have specific function sign on the square frame, if turn left/turn right direction sign, traffic lights district sign, speech control district sign, parking area sign etc.. The vertical distance of the bottommost edge of the white stop line and the farthest edge of the square frame is uniformly set to be 38cm, so that the fact that enough distance can be provided enables a camera with low cost and insufficient wide angle on the intelligent trolley body to shoot a complete sign to recognize is guaranteed. But the extending structure of indicator frame and the every single move structure of the camera support on the intelligent vehicle body also make the various tracks that the adaptation user that the intelligent vehicle can be better spliced. The height of the sign is adjustable to accommodate different environments and track and camera heights, the track is not fixed, but redesigning the sign support too cumbersome and time consuming to meet with a new track, so it is designed to be height adjustable.

The linking module comprises a straight module, a 90-degree turning module and a converging road module. The method can be used for connecting functional modules and can also be independently spliced into the hunting track of the intelligent trolley. Different functional modules can be added according to the requirements and the progress of the courses, and a better teaching effect is achieved.

The steering module is a 45-degree turning module, is in the shape of an eighth circle, can guide the intelligent trolley to obliquely run in the course of splicing the track, gets rid of the limitation of only 90-degree turning of the square module, increases the selection of the running direction of the intelligent trolley and makes the splicing of the track more diversified.

The specific form of the unmanned vehicle track is determined by randomly splicing and combining the linking module, the steering module and the functional module. The linking module can independently form the hunting track of dolly, and the functional module can add in good time according to the teaching demand for increase the track degree of difficulty. The linking module, the steering module and the functional module which are required for forming a complete track are not fixed, and the modules can be combined by students at will to form personalized customized tracks with different difficulty and forms. All the functional modules are distinguished through road surface indication boards.

The mosaic type track is designed by adopting a mosaic type, the track is modularized and standardized, and the traditional single track layout is broken through. The method has diversity, can improve the participation and the excitement of the user, and attracts the user to try new patterns continuously. The user can freely splice each module according to own hobby, and intelligent vehicle can be according to the trend change of track and patrol the line. The shape of the modules of the splicing track is mostly square, the square modules can effectively improve the space utilization rate when being spliced, and the overall attractiveness of the spliced track is higher. The design of partial one-eighth circle module gives the brand-new splicing experience of users, and the interest of the splicing process is enhanced. The process of customizing the track can improve the participation and the enthusiasm of the user and attract the user to try various playing methods on one hand, and on the other hand, each module of the track can be used for multiple times, so that the value of the track is improved.

The above-mentioned embodiments only represent some embodiments of the present invention, and the description thereof is specific and detailed, but not to be construed as limiting the scope of the present invention. It should be noted that, for those skilled in the art, without departing from the spirit of the present invention, several variations and modifications can be made, which are within the scope of the present invention. Therefore, the protection scope of the present invention should be subject to the appended claims.

Claims

1. The equipment for unmanned vehicle teaching is characterized by comprising an intelligent vehicle and an unmanned vehicle track;

2. The apparatus for unmanned vehicle teaching of claim 1 wherein the ground area comprises a function module, an articulation module, and a steering module;

3. The kit for unmanned vehicle teaching of claim 2 wherein the functional modules and the engagement modules employ templates having a 40cm square shape.

4. The kit for unmanned vehicle teaching of claim 2, wherein each function module is provided with a square frame with a side length of 6cm for placing the signboard frame and a white stop line with a length of 2 cm.

5. The kit for unmanned vehicle teaching of claim 2, wherein a vertical distance of a lowermost edge of the white stop-line from a farthest edge of the square rim is uniformly set to 38 cm.

6. The equipment for unmanned vehicle teaching of claim 2 wherein the specific form of the unmanned vehicle track is determined by any splicing combination of a linking module, a steering module and a function module; the linking module can independently form a hunting track of the trolley, and the functional module can be added in due time according to teaching requirements and is used for increasing the difficulty of the track; the linking module, the steering module and the functional module which are required for forming a complete track are not fixed, and the modules can be combined by students at will to form personalized customized tracks with different difficulty and forms; all the functional modules are distinguished through road surface indication boards.

7. The kit for unmanned vehicle teaching of claim 2 wherein the height of the indicator board stand is adjustable.

8. The kit for unmanned vehicle teaching of claim 1 wherein further, the signs are all blue undertones except the start/stop two-dimensional code and the traffic light zone signs are not blue undertones.

9. The apparatus for unmanned vehicle teaching of claim 1 wherein the camera is electrically connected to the raspberry pi through a USB port.

10. The device for unmanned vehicle teaching of claim 1 wherein the microphone is electrically connected to the raspberry pi via a USB port, and the speaker is connected to the raspberry pi bluetooth.