Intelligent network connection automobile teaching vehicle and test method

Abstract

The invention relates to the technical field of automatic driving vehicle control and test, and discloses an intelligent network connection automobile teaching vehicle and a test method, and the intelligent network connection automobile teaching vehicle comprises a sensing module, a calculation platform, a control module, a teaching interaction module, an external accessory platform and an open type vehicle body. The sensing module is used for sensing environment information and comprises a laser radar, a millimeter wave radar, an ultrasonic radar, a combined navigation system and a visual sensor; the computing platform is used for receiving and processing the sensing data and generating a decision instruction; the control module is used for controlling the motion state of the intelligent network connection automobile teaching vehicle; the teaching interaction module comprises a display which is used for displaying intelligent network connection automobile teaching vehicle data and teaching content. The external accessory platform is used for carrying a plurality of accessories; and the open type vehicle body is used for carrying the sensing module, the computing platform, the control module, the teaching interaction module and the external accessory platform. Therefore, the construction of the intelligent network connection automobile teaching vehicle is realized.

Description

Technical Field

[0001] The present invention relates to the field of autonomous driving vehicle control and testing technology, and in particular to an intelligent networked vehicle teaching vehicle and a testing method. Background Art

[0002] The intelligent connected vehicle teaching vehicle is a comprehensive teaching platform for intelligent connected vehicle engineering education, which aims to help students deeply understand key technologies such as autonomous driving technology, vehicle networking systems, and electronic control modules. As an experimental platform for autonomous driving technology and intelligent control systems, the design and performance of the intelligent connected vehicle teaching vehicle directly affect the effectiveness of teaching and testing.

[0003] Existing intelligent networked vehicle teaching vehicles often have the following technical problems, especially in structure and function design: First, the technical fields involved in intelligent connected vehicles are extensive, and the knowledge system that low-level technicians and students need to master is complex and difficult to learn; Second, there is a disconnect between the theoretical knowledge and practical application of existing courses. Students lack sufficient practical links and find it difficult to transform theoretical knowledge into practical skills. Third, most of the existing intelligent connected car teaching vehicles are designed by modifying passenger cars based on driving safety considerations, and the wiring harness layout is hidden inside the car body, making it difficult for students to observe and operate. Summary of the invention

[0004] The summary of the invention is used to introduce concepts in a brief form, which will be described in detail in the detailed implementation section below. The summary of the invention is not intended to identify the key features or essential features of the technical solution claimed for protection, nor is it intended to limit the scope of the technical solution claimed for protection.

[0005] The present invention proposes an intelligent networked vehicle teaching vehicle and a testing method to solve one or more of the technical problems mentioned in the above background technology part.

[0006] The present invention provides an intelligent network-connected vehicle teaching vehicle, comprising: The perception module is used to perceive the surrounding environment information of the intelligent networked vehicle teaching vehicle, generate perception data, and send the perception data to the computing platform. The perception module includes laser radar, millimeter wave radar, ultrasonic radar, integrated navigation system and visual sensor; A computing platform, which is used to receive and process the perception data of the perception module, generate decision instructions, and send the decision instructions to the control module. The computing platform connects the perception module and the control module through a communication network; A control module, which is used to receive and process decision instructions from the computing platform and control the motion state of the intelligent networked vehicle teaching vehicle. The control module includes a chassis wire control system, which includes a wire control steering system, a wire control drive system, and a wire control brake system; A teaching interaction module, which is used for teaching interaction. The teaching interaction module includes a display, which is used to display the teaching vehicle data and teaching content of the intelligent networked vehicle; External accessory platform: The external accessory platform is used to carry multiple accessories; Open body: The open body is used to carry the perception module, computing platform, control module, teaching interaction module and external accessory platform.

[0007] Optional, multiple accessories include ultrasonic radar host, lidar adapter, wire-controlled VCU controller and computing platform.

[0008] Optionally, the multiple accessories also include a fuse box and an autonomous driving system power switch; the fuse box is used to provide circuit protection; the autonomous driving system power switch is used to control the power switch of the power supply system.

[0009] Optionally, the communication network includes a first communication bus and a second communication bus, the computing platform is connected to the millimeter wave radar and the ultrasonic radar through the first communication bus, and the computing platform is connected to the chassis wire control system through the second communication bus.

[0010] Optionally, the intelligent networked vehicle teaching vehicle of the present invention further includes: The safety module is used to receive preset instructions to change the motion state of the intelligent connected vehicle teaching vehicle. The safety module includes a first emergency stop switch, a second emergency stop switch and a remote control emergency stop controller.

[0011] Optionally, the teaching interaction module also includes a retractable keyboard and mouse platform.

[0012] Optionally, a testing method of an intelligent networked vehicle teaching vehicle of the present invention includes: The intelligent connected vehicle teaching vehicle is tested, including safety function test, autonomous driving map recording test, straight driving test and curve driving test.

[0013] Optionally, the test also includes a parking function test, an adaptive cruise function test, a traffic light function test, an emergency braking function test, an obstacle avoidance function test or a comprehensive test.

[0014] The present invention has the following beneficial effects: by modifying the intelligent network function on the basis of the traditional electric Baja car, a comprehensive teaching platform is provided for learners, and various aspects of autonomous driving technology can be learned in actual operation. Specifically, through the open body design, the various modules and accessories of the intelligent network car teaching car, such as the perception module, calculation, control module, teaching interaction module and external accessory platform, are clearly visible, which is convenient for learners to understand the working principle of each system, and improve their practical ability through practical operations such as disassembly, debugging and fault detection. In addition, the system screens qualified intelligent network car teaching cars through various test methods such as safety function test, automatic driving map recording test, straight driving test and curve driving test, ensuring that they can be safely and effectively operated and demonstrated in the actual teaching process. This modification method enables students to not only master the design and application of intelligent network car chassis wire control system, perception module, computing platform, etc., but also deeply understand the principle and implementation process of autonomous driving technology through intuitive teaching interaction and testing methods, providing a systematic and practical learning platform. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The above and other features, advantages and aspects of the embodiments of the present invention will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the accompanying drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and that components and elements are not necessarily drawn to scale.

[0016] Figure 1 It is an exemplary structural schematic diagram of an intelligent networked vehicle teaching vehicle of the present invention. DETAILED DESCRIPTION

[0017] The present invention will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be construed as being limited to the embodiments set forth herein. On the contrary, these embodiments are provided to provide a more thorough and complete understanding of the present invention. It should be understood that the drawings and embodiments of the present invention are only for exemplary purposes and are not intended to limit the scope of protection of the present invention.

[0018] It should also be noted that, for ease of description, only the parts related to the invention are shown in the drawings. In the absence of conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other.

[0019] It should be noted that the concepts such as "first" and "second" mentioned in the present invention are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0020] It should be noted that the modifications of "one" and "plurality" mentioned in the present invention are illustrative rather than restrictive, and those skilled in the art should understand that, unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0021] The names of the messages or information exchanged between multiple devices of the present invention are only for illustrative purposes, and are not used to limit the scope of these messages or information.

[0022] The present invention will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments.

[0023] like Figure 1 FIG. 1 is a schematic diagram of an exemplary structure of an intelligent networked vehicle teaching vehicle according to the present invention, which specifically includes the following modules: The perception module 101 is used to perceive the surrounding environment information of the intelligent network-connected vehicle teaching vehicle, generate perception data, and send the perception data to the computing platform. The perception module 101 includes a laser radar, a millimeter-wave radar, an ultrasonic radar, a combined navigation system, and a visual sensor; In some embodiments, the perception module 101 is responsible for collecting environmental information around the intelligent networked vehicle teaching vehicle, obtaining environmental data, and sending the environmental data to the computing platform. Among them, the perception module 101 includes a laser radar, a millimeter wave radar, an ultrasonic radar, a combined navigation system and a visual sensor. Among them, the perception module 101 obtains high-precision three-dimensional spatial information through a laser radar, the millimeter wave radar is used to detect the relative speed and distance of objects, the ultrasonic radar is suitable for close-range obstacle detection, and the visual sensor can capture image data to assist target recognition and classification. The combined navigation system is composed of a combined navigation host, a data transmission terminal, a first receiving antenna and a second receiving antenna.

[0024] In practice, the laser radar can be a 16-line mechanical laser radar installed on the roof beam of the intelligent networked vehicle teaching vehicle. The bottom of the laser radar has a bracket with an adjustable angle for learning practical training content such as laser radar assembly calibration. The laser radar is first connected to the laser radar adapter, and then the laser radar adapter is connected to the computing platform network port through a network cable. The millimeter wave radar is installed on the front bumper of the vehicle body, and a universal joint bracket is provided to be installed on the rear side of the millimeter wave radar. The millimeter wave radar is first connected to the first communication bus through a dedicated wiring harness, and then connected to the computing platform through the first communication bus. The ultrasonic radar includes an ultrasonic radar host, a first probe, a second probe, a third probe and a fourth probe. The first probe is installed on the left side of the intelligent networked vehicle teaching vehicle, the second probe is installed on the right side of the intelligent networked vehicle teaching vehicle, the third probe is installed on the left front side of the intelligent networked vehicle teaching vehicle, and the fourth probe is installed on the right front side of the intelligent networked vehicle teaching vehicle. Each probe is first connected to the ultrasonic radar host, and the ultrasonic radar host converts the probe data and sends it to the computing platform 102 through the first communication bus. The visual sensor is installed in front of the intelligent networked vehicle teaching vehicle and is directly connected to the computing platform 102 via USB. The integrated navigation host and the data transmission terminal are mounted on the external accessory platform 105, the first receiving antenna is installed in front of the roof of the intelligent networked vehicle teaching vehicle, and the second receiving antenna is installed behind the roof of the intelligent networked vehicle teaching vehicle. The integrated navigation host is connected to the computing platform via RS-232. The first communication bus can be a first CAN bus.

[0025] Among them, the 16-line mechanical laser radar is a laser scanning technology that measures the distance of surrounding objects by rotating laser sensors, and has the characteristics of high precision and high resolution. Millimeter wave radar uses the millimeter wave frequency band for detection. Millimeter wave radar can work stably under different weather conditions, is suitable for measuring the distance, speed and angle of target objects, and is often used in applications such as adaptive cruise and automatic parking of automobiles. Ultrasonic radar detects the position of objects by emitting high-frequency sound waves and receiving reflected waves. It is often used for close-range obstacle detection, such as automatic parking systems. Its working principle is related to the propagation of sound waves and is suitable for low-speed driving scenarios. A visual sensor is a sensor that captures images through a camera and converts them into digital signals. It is commonly used in applications such as environmental perception, image recognition, and object detection, and is an indispensable perception device in autonomous driving systems. A universal joint bracket is a support structure that allows two connected parts to move relative to each other in multiple axes. In mechanical devices, universal joint brackets are often used to connect and support different components to provide flexibility in movement. CAN bus (Controller Area Network) is a multi-host communication protocol commonly used in automobiles and industrial equipment for communication between microcontrollers and devices. It can ensure high-speed and reliable data transmission in complex systems. The probe is a tool used to contact, sense or detect objects. In a sensor system, the probe usually refers to the sensing element or the part that interacts with the environment and can convert the sensed data into a processable signal. The ultrasonic radar host is the core component of the ultrasonic radar system, responsible for transmitting and receiving ultrasonic signals, processing the received reflected wave signals, and calculating the distance and position of the target object. The host works with the sensor probe to detect and locate obstacles. The receiving antenna refers to a device specially designed to receive radio wave signals. USB (Universal Serial Bus) is a standardized interface for connecting computers and other electronic devices. The integrated navigation host is a device that integrates multiple navigation technologies to provide high-precision positioning, attitude and speed information. The data transmission terminal is a device used for wireless data communication, which is often used to transmit data from remote devices to servers or cloud platforms through cellular networks. RS-232 is a common serial communication protocol standard that is widely used in connections between computers and external devices. The serial communication protocol refers to a communication method in which data is transmitted one bit at a time in sequence during the communication process. Unlike parallel communication, serial communication transmits only one data bit at a time, so it usually uses fewer cables and hardware resources and is suitable for long-distance transmission or occasions with low transmission speed requirements.

[0026] The computing platform 102 is used to receive and process the perception data of the perception module 101, generate decision instructions, and send the decision instructions to the control module 103. The computing platform connects the perception module 101 and the control module 103 through a communication network; In some embodiments, the computing platform 102 is used to receive and process the perception data from the perception module 101, and generate a decision instruction to send to the control module 103. The computing platform 102 is connected to the perception module 101 through a first communication bus, and is connected to the control module 103 through a second communication bus. In practice, the computing platform is installed on an external accessory platform and runs the Ubuntu operating system, wherein the Ubuntu operating system version is not less than 18.04. The computing platform also integrates the intelligent networked vehicle automatic driving control software. When the intelligent networked vehicle teaching vehicle drives automatically, the perception module 101 will send the perception data to the computing platform, which is processed by the intelligent networked vehicle automatic driving control software, generates a decision instruction, and sends it to the control module 103 through the second communication bus. The second communication bus can be a second CAN bus. Among them, Ubuntu is a Linux distribution that is widely used in desktops, servers and cloud computing environments.

[0027] The control module 103 is used to receive the decision instruction of the computing platform 102 and control the motion state of the intelligent networked vehicle teaching vehicle. The control module 103 includes a chassis wire control system, which includes a wire control steering system, a wire control drive system and a wire control brake system; In some embodiments, the control module 103 includes a chassis wire control system, and the control module 103 adjusts the chassis wire control system by receiving decision instructions from the computing platform 102, thereby controlling the motion state of the intelligent networked vehicle teaching vehicle. The chassis wire control system includes a wire control steering system, a wire control drive system and a wire control brake system, and the wire control drive system includes an original vehicle drive system and a wire control VCU controller. The wire control steering system is used to accurately control the steering angle of the intelligent networked vehicle teaching vehicle and adjust the steering mechanism through an electric control signal. The wire control brake system is used to control the brake system of the intelligent networked vehicle teaching vehicle through an electric control signal to realize the deceleration and parking functions of the intelligent networked vehicle teaching vehicle. The wire control drive system is used to control the power output of the intelligent networked vehicle teaching vehicle, adjust the acceleration and deceleration state of the intelligent networked vehicle teaching vehicle, and ensure that the intelligent networked vehicle teaching vehicle travels according to the predetermined trajectory.

[0028] Among them, the chassis wire control system refers to a system in which the entire intelligent networked vehicle teaching vehicle chassis part (including steering, drive and brake, etc.) is controlled by electronic signals. The wire control steering system is an electronic steering system that replaces the traditional mechanical steering system with electronic control signals. The wire control drive system is a drive system that replaces the traditional mechanical connection with electronic signals. The wire control brake system controls the brakes through electronic signals instead of relying on the traditional mechanical hydraulic brake system. The wire control VCU controller is an electronic control unit that is responsible for coordinating and managing the work of all the vehicle's wire control systems.

[0029] A teaching interaction module 104, which is used for teaching interaction. The teaching interaction module 104 includes a display, which is used to display the teaching vehicle data and teaching content of the intelligent networked vehicle; In some embodiments, the teaching interaction module 104 is used to perform interactive operations during the teaching stage. The teaching module includes a display, which can display real-time data and teaching content of the smart connected vehicle teaching vehicle. In practice, the display can display the preset driving route of the smart connected vehicle teaching vehicle to help provide real-time feedback and operational guidance during the teaching process.

[0030] An external accessory platform 105, the external accessory platform 105 is used to carry multiple accessories; In some embodiments, the external accessory platform 105 is a flat plate cut from an alloy, fixed to the frame at the rear of the intelligent networked vehicle teaching vehicle through screw holes, and equipped with multiple accessories, including a combined navigation host, a data transmission terminal, an ultrasonic radar host, a lidar adapter, a computing platform, a wire-controlled VCU controller, a fuse box, and an automatic driving system power switch. Among them, the automatic driving system power switch is a switching device for controlling the power supply of the automatic driving system. It can realize the rapid power-on or power-off of the automatic driving system, ensuring that the system can be safely started or shut down when needed. The fuse box is a device for centralized management and protection of circuit safety, and usually contains multiple fuses or circuit breakers. Its main function is to prevent the circuit from being damaged due to short circuit, overload or abnormal current.

[0031] The open vehicle body 106 is used to carry the perception module 101 , the computing platform 102 , the control module 103 , the teaching interaction module 104 and the external accessory platform 105 .

[0032] In some embodiments, the open vehicle body 106 is used to carry the perception module 101, the computing platform 102, the control module 103, the teaching interaction module 104 and the external accessory platform 105 to support the stable operation and structural integration of the intelligent networked vehicle teaching vehicle. In practice, the open vehicle body can be an electric Baja car. Among them, the electric Baja car is an electric off-road racing car designed for off-road performance and driving tests in extreme environments.

[0033] Among them, multiple accessories include a combined navigation system, an ultrasonic radar host, a lidar adapter, a wire-controlled VCU controller and a computing platform.

[0034] In some embodiments, the multiple accessories consist of a combined navigation system, an ultrasonic radar host, a lidar adapter, a wire-controlled VCU controller, and a computing platform.

[0035] Among them, multiple accessories also include a fuse box and an automatic driving system power switch; the fuse box is used to provide circuit protection; the automatic driving system power switch is used to control the power switch of the power supply system.

[0036] In some embodiments, the plurality of accessories further include a fuse box and an automatic driving system power switch, wherein the fuse box is used to prevent the circuit from being damaged due to short circuit, overload or abnormal current. The automatic driving system power switch is a switch state used to control the power supply of the power supply system.

[0037] The communication network includes a first communication bus and a second communication bus. The computing platform 102 is connected to the millimeter wave radar and the ultrasonic radar through the first communication bus, and the computing platform 102 is connected to the chassis wire control system through the second communication bus.

[0038] In some embodiments, the communication network is divided into a first communication bus and a second communication bus. The millimeter wave radar and ultrasonic radar are connected to the computing platform 102 through the first communication bus, and the computing platform 102 is connected to the chassis wire control system through the second communication bus.

[0039] Among them, an intelligent networked vehicle teaching vehicle of the present invention also includes: The safety module 107 is used to receive preset instructions to change the motion state of the intelligent networked vehicle teaching vehicle. The safety module 107 includes a first emergency stop switch, a second emergency stop switch and a remote control emergency stop controller.

[0040] In some embodiments, the safety module 107 changes the running state of the intelligent networked vehicle by receiving a preset instruction, and the safety module 107 includes a first emergency stop switch, a second emergency stop switch and a remote emergency stop controller. The first emergency stop switch is installed on the left side of the rear of the intelligent networked vehicle teaching vehicle, and the second emergency stop switch is installed on the right side of the rear of the intelligent networked vehicle teaching vehicle. The remote emergency stop controller can remotely send the same instruction as the first emergency stop switch or the second emergency stop switch. In practice, the preset instruction can be an emergency stop, which can be sent to the wire control brake system to control the motion state of the intelligent networked vehicle teaching vehicle, or first sent to the computing platform, and then sent by the computing platform to the wire control VCU controller to control the motion state of the intelligent networked vehicle teaching vehicle. Among them, the emergency stop switch is a safety device for immediately stopping the operation of a device or system in an emergency. The remote emergency stop controller is a device for remotely activating the emergency stop function of an intelligent networked vehicle. It is usually used to remotely send an emergency stop instruction through a wireless signal when an abnormality occurs in the intelligent networked vehicle teaching vehicle or needs to stop quickly, so as to immediately interrupt the normal operation state of the intelligent networked vehicle teaching vehicle.

[0041] The teaching interaction module 104 also includes a retractable keyboard and mouse platform.

[0042] In some embodiments, the teaching interaction module 104 further includes a retractable keyboard and mouse platform, which is used to input control information to modify the driving state of the intelligent networked vehicle teaching vehicle. In practice, the driving route of the intelligent networked vehicle teaching vehicle can be modified through the retractable keyboard and mouse platform.

[0043] Among them, a testing method of an intelligent networked vehicle teaching vehicle of the present invention includes: The intelligent connected vehicle teaching vehicle is tested, including safety function test, autonomous driving map recording test, straight driving test and curve driving test.

[0044] In some embodiments, the testing method is divided into a first factory test and a second factory test. The first factory test includes a safety function test, an autonomous driving map recording test, a straight driving test, and a curve driving test. The second factory test includes a parking function test, an adaptive cruise function test, a traffic light function test, an emergency braking function test, an obstacle avoidance function test, or a comprehensive test. When the intelligent networked vehicle teaching vehicle passes all the tests in the first factory test, the second factory test is carried out. The test items of the second factory test are adjusted according to the actual environment. When all the test items of the second factory test are passed, these test items are combined for a comprehensive test. The intelligent networked vehicle teaching vehicle that passes the comprehensive test evaluation is judged to meet the factory standards.

[0045] Safety function testing is a comprehensive inspection of the safety mechanism of intelligent connected vehicles to ensure that necessary safety measures can be taken in a timely manner in abnormal or emergency situations. In practice, safety function testing includes emergency stop switches, remote emergency stop controllers, and safety hazard handling in abnormal communication situations. During the test, the emergency stop switch and remote emergency stop controller need to verify whether they can cut off the power of the intelligent connected vehicle teaching vehicle in time when receiving the emergency stop command and stop the operation of the intelligent connected vehicle teaching vehicle. In particular, when communication is abnormal or interrupted, the system should be able to automatically determine and perform emergency stop operations to avoid safety accidents caused by faults in the intelligent connected vehicle teaching vehicle.

[0046] The autonomous driving map recording test generates a map for autonomous driving by combining the positioning information of the navigation system with the environmental information obtained by the laser radar and ultrasonic radar. If the error between the driving route in the generated map and the preset driving route is less than the preset deviation rate, the test is considered to have passed. In practice, the preset deviation rate can be 15%. The map information generated by the first autonomous driving map recording test can be used for straight-line driving tests and curve driving tests of other intelligent connected vehicle teaching vehicles.

[0047] The straight-line driving test is the most basic and intuitive road test in the autonomous driving system. In practice, the test is conducted on a closed straight section of road to check whether the intelligent networked vehicle teaching vehicle can maintain the lane position smoothly and accurately during the straight-line driving process, ensuring that the intelligent networked vehicle teaching vehicle will not deviate from the predetermined route.

[0048] The curve driving test is a common road test in autonomous driving systems. In practice, the test can be judged by testing whether the intelligent networked vehicle teaching vehicle can deviate from the preset lane while driving on the curve.

[0049] Among them, the tests also include parking function test, adaptive cruise function test, traffic light function test, emergency braking function test, obstacle avoidance function test or comprehensive test.

[0050] In some embodiments, the parking function test is designed to verify whether the autonomous driving system has the ability to park in a specific scenario, to ensure that the autonomous driving system can park safely under preset conditions, and to avoid accidents caused by system failure or improper operation. In practice, the test is to test whether the intelligent networked vehicle teaching car can automatically complete the parking operation at the end of the preset trip.

[0051] The adaptive cruise function test verifies whether the intelligent connected vehicle can automatically adjust its speed during cruising to adapt to the distance and speed changes of the intelligent connected vehicle teaching vehicle in front. In practice, the intelligent connected vehicle teaching vehicle needs to simulate different road scenes and maintain a certain safe distance from the intelligent connected vehicle teaching vehicle in front to ensure that the intelligent connected vehicle teaching vehicle can automatically increase or decrease speed according to the speed changes of the intelligent connected vehicle teaching vehicle in front, and automatically decelerate or stop when the distance between the vehicles is too close.

[0052] The traffic light function test verifies whether the autonomous driving system can correctly identify traffic lights and adjust the driving state of the intelligent networked vehicle teaching car according to the changes in the traffic lights, ensuring that the autonomous driving intelligent networked vehicle teaching car can follow traffic rules and respond correctly when the traffic lights change. In practice, different traffic light scenarios are simulated to verify whether the intelligent networked vehicle teaching car can stop at a red light, start at a green light, and respond appropriately at a yellow light (such as slowing down to prepare to stop).

[0053] The emergency braking function test is designed to verify whether the autonomous driving system can take emergency braking measures in time when encountering an emergency to avoid accidents and ensure that the intelligent networked vehicle teaching car can respond quickly and stop safely when encountering sudden obstacles or other emergency situations. In practice, by simulating sudden obstacles (such as pedestrians, obstacles, etc.), the intelligent networked vehicle teaching car is tested to see whether it can accurately judge and initiate emergency braking in a short time.

[0054] The obstacle avoidance test is designed to verify whether the autonomous driving system can quickly identify obstacles and take reasonable avoidance measures when encountering obstacles, ensuring that the intelligent connected car can take effective avoidance actions when obstacles appear to avoid collisions. In practice, by setting up different types of obstacles, the intelligent connected car teaching car is tested to see whether it can detect and respond appropriately in time to avoid collisions with obstacles.

[0055] The comprehensive test is a comprehensive evaluation of the individual tests completed by the intelligent networked vehicle teaching vehicle, which aims to verify whether the intelligent networked vehicle teaching vehicle can complete all tasks in actual driving and has good comprehensive performance. In practice, the intelligent networked vehicle teaching vehicle needs to complete multiple completed individual tests to check whether it can pass smoothly in a continuous test process and whether the various systems can work together.

[0056] In these embodiments, by modifying the traditional electric Baja car with intelligent network functions, a comprehensive teaching platform is provided for learners, so that they can learn various aspects of autonomous driving technology in actual operation. Specifically, through the open body design, the various modules and accessories of the intelligent network-connected vehicle teaching car, such as the perception module, computing platform, control module, teaching interaction module and external accessory platform, are clearly visible, which facilitates learners to understand the working principles of each system and improve their practical ability through practical operations such as disassembly, debugging and fault detection. In addition, the system screens qualified intelligent network-connected vehicle teaching cars through various test methods such as safety function testing, autonomous driving map recording testing, straight driving testing and curve driving testing, ensuring that they can be safely and effectively operated and demonstrated in the actual teaching process. This modification method enables students to not only master the design and application of intelligent network-connected vehicle chassis wire control systems, perception modules, computing platforms, etc., but also deeply understand the principles and implementation processes of autonomous driving technology through intuitive teaching interactions and testing methods, providing a systematic and practical learning platform.

[0057] The above descriptions are only some preferred embodiments of the present invention and the explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the present invention is not limited to the technical solutions formed by the specific combination of the above technical features, but also should cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above inventive concept. For example, the above features are replaced with the technical features with similar functions disclosed in the present invention (but not limited to) to form a technical solution.

Claims

1. An intelligent network-connected vehicle teaching vehicle, characterized in that: include: A perception module, which is used to perceive the surrounding environment information of the intelligent network-connected vehicle teaching vehicle, generate perception data, and send the perception data to the computing platform. The perception module includes a laser radar, a millimeter-wave radar, an ultrasonic radar, a combined navigation system, and a visual sensor; A computing platform, the computing platform is used to receive and process the perception data of the perception module, generate a decision instruction, and send the decision instruction to the control module, the computing platform is connected to the perception module and the control module via a communication network; A control module, the control module is used to receive and process the decision instructions of the computing platform and control the motion state of the intelligent network-connected vehicle teaching vehicle, the control module includes a chassis wire control system, and the chassis wire control system includes a wire control steering system, a wire control drive system and a wire control brake system; A teaching interaction module, the teaching interaction module is used for teaching interaction, the teaching interaction module includes a display, and the display is used to display the teaching vehicle data and teaching content of the intelligent networked vehicle; An external accessory platform, the external accessory platform is used to carry multiple accessories; An open vehicle body is used to carry the perception module, the computing platform, the control module, the teaching interaction module and the external accessory platform.

2. The intelligent network-connected vehicle teaching vehicle according to claim 1, characterized in that: The multiple accessories include an ultrasonic radar host, a lidar adapter, a wire-controlled VCU controller and a computing platform.

3. The intelligent network-connected vehicle teaching vehicle according to claim 2, characterized in that: The multiple accessories also include a fuse box and an automatic driving system power switch; the fuse box is used to provide circuit protection; the automatic driving system power switch is used to control the power switch of the power supply system.

4. The intelligent network-connected vehicle teaching vehicle according to claim 1, characterized in that: The communication network includes a first communication bus and a second communication bus, the computing platform is connected to the millimeter wave radar and the ultrasonic radar through the first communication bus, and the computing platform is connected to the chassis wire control system through the second communication bus.

5. The intelligent network-connected vehicle teaching vehicle according to claim 1, characterized in that: Also includes: A safety module is used to receive preset instructions to change the motion state of the intelligent network-connected vehicle teaching vehicle. The safety module includes a first emergency stop switch, a second emergency stop switch and a remote control emergency stop controller.

6. The intelligent network-connected vehicle teaching vehicle according to claim 1, characterized in that: The teaching interaction module also includes a retractable keyboard and mouse platform.

7. A method for testing an intelligent network-connected vehicle teaching vehicle, characterized in that: include: The intelligent connected vehicle teaching vehicle is tested, and the tests include safety function test, automatic driving map recording test, straight-line driving test and curve driving test.

8. The test method for the intelligent network-connected vehicle teaching vehicle according to claim 7, characterized in that: The test also includes a parking function test, an adaptive cruise function test, a traffic light function test, an emergency braking function test, an obstacle avoidance function test or a comprehensive test.

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