阅读说明：本技术 一种用于智能驾驶的多波段雷达探测系统及方法 (Multi-band radar detection system and method for intelligent driving ) 是由 杨辉 于 2019-09-30 设计创作，主要内容包括：本发明属于智能驾驶技术领域,具体提供一种用于智能驾驶的多波段雷达探测系统及方法,该系统包括：定位模块,用于进行实时定位；探测模块,探测模块包括多个不同波段的雷达,用于进行路况探测；处理模块,用于对探测模块的探测数据进行处理；传输模块,用于当处理模块的处理结果为存在路况异常时,将异常结果及对应的定位信息进行上传；存储模块,用于存储接收到的异常结果及定位信息；标记模块,用于对异常结果的对应坐标位置进行标记。使用本申请,即使是在环境很恶劣的区域或者时间段,也能够及时知晓路面的异常情况,并提前作出应对,可减少智能驾驶的交通事故。同时,还提高了检测数据的利用率。(The invention belongs to the technical field of intelligent driving, and particularly provides a multiband radar detection system and a multiband radar detection method for intelligent driving, wherein the system comprises the following components: the positioning module is used for carrying out real-time positioning; the detection module comprises a plurality of radars with different wave bands and is used for detecting road conditions; the processing module is used for processing the detection data of the detection module; the transmission module is used for uploading the abnormal result and the corresponding positioning information when the processing result of the processing module indicates that the road condition is abnormal; the storage module is used for storing the received abnormal result and the positioning information; and the marking module is used for marking the corresponding coordinate position of the abnormal result. By using the method and the device, even in a severe environment area or a time period, the abnormal condition of the road surface can be timely known, and the response is made in advance, so that the traffic accidents of intelligent driving can be reduced. Meanwhile, the utilization rate of the detection data is also improved.)

1. A multi-band radar detection system for smart driving, comprising:

The positioning module is used for carrying out real-time positioning;

The detection module comprises a plurality of radars with different wave bands and is used for detecting road conditions;

The processing module is used for processing the detection data of the detection module;

the transmission module is used for uploading the abnormal result and the corresponding positioning information when the processing result of the processing module indicates that the road condition is abnormal;

The storage module is used for storing the received abnormal result and the positioning information;

and the marking module is used for marking the corresponding coordinate position of the abnormal result.

2. The multiband radar detection system of claim 1, wherein: the system also comprises a reminding module used for sending a maintenance signal after receiving the abnormal result.

3. The multiband radar detection system of claim 1, wherein: the system also comprises an image acquisition module for acquiring road condition images in real time;

when the transmission module uploads the abnormal result, the corresponding image is also uploaded;

The storage module is also used for storing the image corresponding to the abnormal result.

4. the multiband radar detection system of claim 1, wherein: the system also comprises a recovery module used for recovering the places marked as the exceptions.

5. The multiband radar detection system of claim 1, wherein: in the detection module, the radar is including installing one-line laser radar and four-wire laser radar in unmanned vehicle the place ahead to and install the eight line laser radar at the roof, and install one-line laser radar behind the car.

6. a multi-band radar detection method for smart driving, comprising:

a positioning step, namely performing real-time positioning;

Detecting, namely detecting road conditions by using a plurality of radars with different wave bands;

A processing step of processing the detected data;

A transmission step, when the processing result of the processing step is that the road condition is abnormal, uploading the abnormal result and the corresponding positioning information;

A storage step of storing the received abnormal result and the positioning information;

and marking the corresponding coordinate position of the abnormal result.

7. The multiband radar detection method for smart driving according to claim 6, wherein: the method also comprises a reminding step of sending a maintenance signal.

8. The multiband radar detection method for smart driving according to claim 6, wherein: the method also comprises an image acquisition step, wherein the road condition is acquired in real time;

In the transmission step, uploading the image corresponding to the abnormal condition;

The storing step can only store the image corresponding to the abnormal condition.

9. the multiband radar detection method for smart driving according to claim 6, wherein: and a recovery step of recovering the places marked as the exceptions.

10. The multiband radar detection method for smart driving according to claim 6, wherein: in the detection step, the radar comprises a first-line laser radar and a four-line laser radar which are arranged in front of the unmanned automobile, an eight-line laser radar which is arranged on the roof of the unmanned automobile and a first-line laser radar which is arranged behind the unmanned automobile.

Technical Field

The invention belongs to the technical field of intelligent driving, and particularly relates to a multiband radar detection system and method for intelligent driving.

background

The intelligent driving mainly comprises three links of network navigation, autonomous driving and manual intervention. The precondition for realizing intelligent driving is that the vehicle sensor can obtain relevant visual and auditory signals and information and control the corresponding follow-up system through cognitive calculation.

Compared with traditional driving, the intelligent driving technology does not depend on the eyes of a driver to observe the environment, and the environment is detected in real time through the sensing equipment. Therefore, the demand for sensors is large for intelligent driving.

The radar is slightly influenced by the environment and has the characteristics of all weather and all day long, so that a long-distance target can be detected no matter whether the target is in the daytime or at night, and the radar is widely applied to the field of intelligent driving on the basis of the reasons.

with the development of intelligent driving technology, single radar detection cannot meet the requirements of people, and the combination of radars with multiple wave bands for road detection is becoming the mainstream development direction at present. At present, on advanced intelligent cars, nearly 20 sensors have been assembled, most of which are radars (combination of radars in different bands).

The invention is a Chinese patent with publication number CN104002747A, and discloses a multi-laser radar grid map fusion system based on unmanned vehicles, which comprises radars with various wave bands installed in all directions of vehicles, wherein data of the radars are transmitted to a first industrial personal computer through a switch by utilizing Ethernet, the first industrial personal computer analyzes and preprocesses the data, respectively processes the data aiming at different radars, rasterizes effective data and transmits a code value to the first industrial personal computer responsible for data fusion through the Ethernet, then performs data fusion and rasterizes the data by utilizing a grid map fusion method, and finally transmits the code value to a second industrial personal computer through the Ethernet.

Through the patent, the risk that the unmanned automobile and the assistant driving automobile collide with the barrier can be reduced, and the safety of the automobile in the driving process is improved.

However, with this system, when there is a fault on the road surface, such as a road block or a pit, the vehicle needs to perform detection and data processing and then react each time it travels through the road. Besides, when each vehicle runs on the same road obstacle, the vehicle needs to be detected and subjected to data processing, and then reacts. The utilization rate of data is low.

in addition, although the radar is slightly influenced by the environment, the radar is not completely not influenced by the environment, each vehicle needs to be overhauled and subjected to data processing and judgment every time when passing through a road obstacle, and then reacts, so that the condition of traffic accidents due to untimely detection can occur in an area or a time period with severe environment.

Disclosure of Invention

The invention provides a multiband radar detection system and method for intelligent driving, aiming at the problems that in the prior art, each vehicle needs to be overhauled and subjected to data processing and judgment every time, and then reacts, and traffic accidents possibly occur due to untimely detection in a severe environment area or time period.

The basic scheme provided by the invention is as follows:

A multi-band radar detection system for smart driving, comprising:

The positioning module is used for carrying out real-time positioning;

The detection module comprises a plurality of radars with different wave bands and is used for detecting road conditions;

The processing module is used for processing the detection data of the detection module;

the transmission module is used for uploading the abnormal result and the corresponding positioning information when the processing result of the processing module indicates that the road condition is abnormal;

The storage module is used for storing the received abnormal result and the positioning information;

and the marking module is used for marking the corresponding coordinate position of the abnormal result.

Basic scheme theory of operation and beneficial effect:

when the system detects the abnormality of the road surface, the abnormal condition and the corresponding positioning information are sent, and the abnormal result is marked by the marking module. In this way, when another vehicle is navigating, the abnormality can be known in advance, and when the abnormal road point is reached, countermeasures such as deceleration can be taken in advance.

Compared with the prior art, the method can timely know the abnormal condition of the road surface even in a severe environment area or time period, and can respond in advance. Traffic accidents caused by intelligent driving can be reduced.

besides, after each vehicle detects abnormal road conditions, the abnormal road conditions are uploaded and marked, and through the mode, all vehicles share abnormal road condition data, and the utilization rate of detected data is improved.

and the system further comprises a reminding module for sending a maintenance signal after receiving the abnormal result.

When the manager receives the overhaul signal, the maintainer can be dispatched to overhaul the abnormity in time.

The system further comprises an image acquisition module for acquiring road condition images in real time;

When the transmission module uploads the abnormal result, the corresponding image is also uploaded;

the storage module is also used for storing the image corresponding to the abnormal result.

After the images are collected and uploaded, workers can roughly judge the type of the abnormal condition according to the images before starting to overhaul, so that the method is accurate and more targeted, and the overhaul efficiency can be improved.

Further, the system also comprises a recovery module used for recovering the places marked as the abnormity.

After the overhaul personnel investigate and overhaul the abnormal place, the manager can remove the mark of the place in time and restore the place to the normal state, thus preventing the condition of the road from being investigated and overhauled, and the abnormal mark is not cleared late, thereby causing unnecessary reminding and stopping when the intelligently driven vehicle drives the road section.

Further, among the detection module, the radar is including installing one-line laser radar and four-wire laser radar in unmanned vehicle the place ahead to and install the eight line laser radar at the roof, and install one-line laser radar behind the car.

Thus, the surroundings of the vehicle can be detected in all directions.

Based on the system, the application also provides a multiband radar method for intelligent driving, which comprises the following steps:

A positioning step, namely performing real-time positioning;

Detecting, namely detecting road conditions by using a plurality of radars with different wave bands;

A processing step of processing the detected data;

A transmission step, when the processing result of the processing step is that the road condition is abnormal, uploading the abnormal result and the corresponding positioning information;

a storage step of storing the received abnormal result and the positioning information;

And marking the corresponding coordinate position of the abnormal result.

When the abnormality of the road surface is detected, the abnormal condition and the corresponding positioning information are sent, and the abnormal result is marked. In this way, when another vehicle is navigating, the abnormality can be known in advance, and when the abnormal road point is reached, countermeasures such as deceleration can be taken in advance.

Compared with the prior art, the method can timely know the abnormal condition of the road surface even in a severe environment area or time period, and can respond in advance. Traffic accidents caused by intelligent driving can be reduced.

in addition, each vehicle can upload and mark after detecting abnormal road conditions, and therefore all vehicles can share abnormal road condition data and the utilization rate of detected data is improved.

Further, the method also comprises a reminding step of sending a maintenance signal.

after the manager receives the maintenance signal, the manager can be timely excluded to maintain the abnormal result.

Further, the method also comprises an image acquisition step, wherein the road condition is acquired in real time;

In the transmission step, uploading the image corresponding to the abnormal condition;

The storing step can only store the image corresponding to the abnormal condition.

after the images are collected and uploaded, workers can roughly judge the type of the abnormal condition according to the images before starting to overhaul, so that the method is accurate and more targeted, and the overhaul efficiency can be improved.

further, a recovery step is included, and the places marked as the abnormal places are recovered.

After the overhaul personnel investigate and overhaul the abnormal place, the manager can remove the mark of the place in time and restore the place to the normal state, thus preventing the condition of the road from being investigated and overhauled, and the abnormal mark is not cleared late, thereby causing unnecessary reminding and stopping when the intelligently driven vehicle drives the road section.

further, in the detecting step, the radar includes a line laser radar and a four-line laser radar installed in front of the unmanned vehicle, and an eight-line laser radar installed at a roof, and a line laser radar installed at a rear of the vehicle.

Thus, the surroundings of the vehicle can be detected in all directions.

Drawings

FIG. 1 is a logic diagram of a first embodiment of a multi-band radar detection system and method for intelligent driving according to the present invention;

Fig. 2 is a flowchart of a multiband radar detection system and method for intelligent driving according to a first embodiment of the present invention.

Detailed Description

The following is further detailed by way of specific embodiments: