CN110785676A - Upper obstacle detection method, device, system, vehicle and storage medium - Google Patents

Upper obstacle detection method, device, system, vehicle and storage medium Download PDF

Info

Publication number
CN110785676A
CN110785676A CN201880040372.3A CN201880040372A CN110785676A CN 110785676 A CN110785676 A CN 110785676A CN 201880040372 A CN201880040372 A CN 201880040372A CN 110785676 A CN110785676 A CN 110785676A
Authority
CN
China
Prior art keywords
target
frame
detected
distance
radar
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201880040372.3A
Other languages
Chinese (zh)
Inventor
李怡强
陆新飞
王凯
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Zhuoyu Technology Co ltd
Original Assignee
Shenzhen Dajiang Innovations Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen Dajiang Innovations Technology Co Ltd filed Critical Shenzhen Dajiang Innovations Technology Co Ltd
Publication of CN110785676A publication Critical patent/CN110785676A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/88Radar or analogous systems specially adapted for specific applications
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/88Radar or analogous systems specially adapted for specific applications
    • G01S13/93Radar or analogous systems specially adapted for specific applications for anti-collision purposes
    • G01S13/931Radar or analogous systems specially adapted for specific applications for anti-collision purposes of land vehicles

Landscapes

  • Engineering & Computer Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Physics & Mathematics (AREA)
  • Electromagnetism (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • General Physics & Mathematics (AREA)
  • Radar Systems Or Details Thereof (AREA)
  • Traffic Control Systems (AREA)

Abstract

The invention provides an upper obstacle detection method, an upper obstacle detection device, an upper obstacle detection system, a vehicle and a storage medium, wherein the method comprises the following steps: the method comprises the steps of obtaining signal parameters of radar signals reflected by a target to be detected in a target time period in the running process of a vehicle, then obtaining a relative position relation between the target to be detected and the vehicle according to the signal parameters, and further determining whether the target to be detected is an obstacle above the vehicle according to the relative position relation and the change trend of signal energy in the signal parameters in the target time period. Therefore, the technical scheme provided by the embodiment of the invention can realize the detection of the upper obstacle on the premise of not increasing the system hardware overhead, reduce the false alarm probability of the front obstacle and improve the running stability of the vehicle.

Description

Upper obstacle detection method, device, system, vehicle and storage medium
Technical Field
The embodiment of the invention relates to an obstacle detection technology, in particular to an upper obstacle detection method, an upper obstacle detection device, an upper obstacle detection system, a vehicle and a storage medium, and belongs to the technical field of auxiliary driving.
Background
With the continuous development of Advanced Driver Assistance System (ADAS) and Automated Driving (AD) technologies, millimeter wave radars as important sensors are also rapidly developing.
However, the millimeter wave radar is generally used for checking an obstacle in front of the vehicle, and the detection accuracy of the obstacle above the road on which the vehicle is located is poor. Specifically, an upper obstacle represented by a gantry or a guideboard is easily recognized as a stationary vehicle by the millimeter-wave radar due to strong scattering, which may cause an emergency braking of the autonomous vehicle, resulting in poor stability of the vehicle in traveling. In order to solve the problem, in the prior art, a radar with an additional pitching receiving channel is generally adopted to detect an obstacle above; however, such radar increases the amount of calculation, and a chip with stronger processing capability needs to be selected for data processing.
In the prior art, the scheme of combining a millimeter wave radar with a pitching receiving channel and a high-processing-capacity chip can greatly improve the detection cost. Therefore, how to detect the upper obstacle through the traditional low-cost millimeter wave radar becomes a technical problem to be solved in the field urgently on the premise of not increasing the overhead of system hardware.
Disclosure of Invention
The invention provides an upper obstacle detection method, an upper obstacle detection device, an upper obstacle detection system, a vehicle and a storage medium, which are used for realizing the detection of an upper obstacle on the premise of not increasing the system hardware overhead, reducing the false alarm probability of a front obstacle and improving the driving stability of the vehicle.
In a first aspect, the present invention provides an overhead obstacle detection method, including:
acquiring signal parameters of radar signals reflected by a target to be detected in a target time period in the running process of a vehicle;
acquiring the relative position relation between the target to be detected and the vehicle according to the signal parameters;
and determining whether the target to be detected is an obstacle above the vehicle or not according to the relative position relation and the change trend of the signal energy in the signal parameter in the target time period.
In a second aspect, the present invention provides an overhead obstacle detection apparatus, including:
a memory;
a processor; and
a computer program;
wherein the computer program is stored in the memory and configured to be executed by the processor to implement the method of the first aspect.
In a third aspect, the present invention provides an overhead obstacle detection system, comprising:
the upper obstacle detecting device according to the second aspect;
and the radar is used for sending out a detection radar signal and receiving the radar signal reflected by the target to be detected.
In a fourth aspect, the present invention provides a vehicle comprising: the upper obstacle detection system according to the third aspect.
In a fifth aspect, the present invention provides a computer readable storage medium having stored thereon a computer program for execution by a processor to perform the method according to the first aspect.
According to the upper obstacle detection method, the device, the system, the vehicle and the storage medium provided by the invention, the radar has a fixed pitching antenna directional diagram, the closer the radar is to the target to be detected, the larger the elevation angle is, and therefore, the lower the signal energy of the radar signal reflected by the target to be detected is, so that the accurate identification of the target to be detected can be realized through the change trend between the relative position relation between the vehicle and the target to be detected and the signal energy of the radar signal.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
FIG. 1 is an oblique view of a road in a driving scene of a vehicle according to an embodiment of the present invention;
FIG. 2 is a top view of a road in a driving scenario of the vehicle shown in FIG. 1 according to an embodiment of the present invention;
FIG. 3 is a right side view of a road in the driving scenario of the vehicle shown in FIG. 1 in accordance with an embodiment of the present invention;
fig. 4 is a schematic flow chart illustrating a method for detecting an overhead obstacle according to an embodiment of the present invention;
fig. 5 is a schematic flow chart illustrating another method for detecting an upper obstacle according to an embodiment of the present invention;
fig. 6 is a schematic flow chart illustrating another method for detecting an upper obstacle according to an embodiment of the present invention;
fig. 7 is a schematic physical structure diagram of an upper obstacle detection device according to an embodiment of the present invention;
fig. 8 is a schematic diagram of an overhead obstacle detection system according to an embodiment of the present invention;
fig. 9 is a schematic structural diagram of a vehicle according to an embodiment of the present invention.
With the foregoing drawings in mind, certain embodiments of the disclosure have been shown and described in more detail below. These drawings and written description are not intended to limit the scope of the disclosed concepts in any way, but rather to illustrate the concepts of the disclosure to those skilled in the art by reference to specific embodiments.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
The specific application scenarios of the invention are as follows: a detection scenario for an upper obstacle in front of the vehicle.
Specifically, please refer to fig. 1 and fig. 2, wherein fig. 1 shows an oblique view of a road in a driving scene of a vehicle, and fig. 2 shows a top view of the road in the driving scene of the vehicle shown in fig. 1. The coordinate system shown in fig. 1 and 2 is a radar coordinate system, wherein the X-axis direction points to the edge of the road, the Y-axis direction points to the front of the road, and the Z-axis direction is a vertical upward direction.
As shown in fig. 1 and 2, in the driving scene of the vehicle, upper obstacles are arranged on both sides of the road, wherein the position shown by U1 is the scattering center of the upper obstacle on the left side of the road, and the position shown by U2 is the scattering center of the upper obstacle on the right side of the road, and the scattering is strong, so that the radar easily recognizes the obstacles as a stationary vehicle, and further, the vehicle may be braked suddenly, and the driving stability of the vehicle may be affected.
The invention provides a method for detecting an upper obstacle, which aims to solve the technical problems in the prior art and provides the following solving ideas: and determining whether the target to be detected is an upper obstacle or not by utilizing the relative position relationship between the vehicle and the target to be detected and the change trend between the signal energy of the radar signal reflected by the target to be detected.
The following describes the technical solutions of the present invention and how to solve the above technical problems with specific embodiments. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present invention will be described below with reference to the accompanying drawings.
Example one
The embodiment of the invention provides a method for detecting an upper obstacle. Hereinafter, the inventive concept of the upper obstacle detection method provided in the embodiment of the present invention will be briefly described.
Specifically, referring to fig. 3, fig. 3 shows a right view of a road in the driving scene of the vehicle shown in fig. 1, which shows a driving diagram between the vehicle and an obstacle above the right side of the road.
As shown in fig. 3, R represents a straight line distance between the scattering center U2 of the obstacle above the right side of the road and the vehicle, and a side angle between the straight line distance and the Y axis direction in the radar coordinate system is denoted as "a", which may be simply referred to as an elevation angle between the obstacle above the right side of the road and the vehicle.
As can be seen from the schematic diagram shown in fig. 3, as the vehicle travels forward along the Y-axis direction, the obstacle on the right side of the road is closer to the vehicle, and the elevation angle a is larger, whereas in the fixed elevation antenna pattern of the radar, the larger the elevation angle is, the weaker the signal energy of the radar signal reflected by the obstacle on the right side of the road is. In contrast, for a ground obstacle located on the same plane as the vehicle, the closer the vehicle is to the ground obstacle, the stronger the energy of the radar signal reflected by the ground obstacle.
Therefore, whether the target to be detected is an upper obstacle or not can be determined based on the relative position relationship between the vehicle and the target to be detected and the variation trend between the signal energy of the radar signal reflected by the target to be detected.
Based on this, referring to fig. 4, the method for detecting an upper obstacle according to the embodiment of the present invention includes the following steps:
s402, in a target time interval in the vehicle running process, signal parameters of radar signals reflected by the target to be detected are obtained.
Therefore, the radar can externally transmit a detection radar signal, when the radar meets an obstacle, the detection radar signal can be reflected to the radar through the blocking of the obstacle, and therefore if the radar receives the reflected radar signal, the fact that the obstacle exists in the front can be determined. Therefore, the radar signal according to the embodiment of the present invention is: the signal is sent by the radar and is received by the radar after being reflected by the target to be detected.
Hereinafter, for convenience of explanation, a signal emitted by a radar is referred to as a detection radar signal, and a signal reflected by an obstacle (an object to be detected according to an embodiment of the present invention) and received by the radar is referred to as a radar signal.
In a specific implementation process, the start frame of the target period may be a sending time of the detection radar signal or a receiving time of the radar signal, and the end frame may be a current frame.
In one possible scenario, the ending frame of the target period is the current frame, and the starting frame of the target period is a frame of the radar which initially receives the reflected radar signal.
In another possible scenario, the ending frame of the target period is the current frame, and the starting frame of the target period is a frame from which the radar starts tracking the reflected radar signal after the radar initially sends out the detection radar signal.
It should be noted that a frame of a radar signal emitted by the radar (referred to as a transmission frame for short) may be different from a frame of a radar signal that starts tracking (referred to as a tracking frame for short).
Specifically, if the radar starts to track the radar signal in a certain frame after sending the detection radar signal, the start frame is a frame after sending the detection radar signal and starts to track the radar signal, at this time, the radar may not record the frame interval between the transmission frame and the tracking frame, and the frame interval is generally fixed, and may be preset in an execution device of the method for detecting the obstacle above the radar (hereinafter, referred to as an upper obstacle detection device for short) or in a radar or other readable storage locations.
Or, if the radar starts to track the radar signal in the same frame as the detection radar signal is sent out, the transmission frame is the same as the tracking frame.
In another possible scenario, the starting frame of the target period may also be a frame of the radar signal emitted by the radar. And will not be described in detail.
It should be noted that the aforementioned target time period may be a time period formed by transmitting, reflecting and receiving one or more radar signals. For example, if the target time interval includes the transmission of a plurality of radar signals, the start frame of the target time interval is the start frame of the first radar signal in the plurality of radar signals (the foregoing at least three methods are not described again). In addition, considering that the radar continuously sends out radar signals to the outside during normal operation, the embodiment of the present invention is directed to detection of an object to be detected, and therefore, the plurality of radar signals may be radar signals reflected by the object to be detected.
The signal parameters related to the embodiments of the present invention may include, but are not limited to: the time of transmission of the radar signal (which may be represented by a frame), the time of reception of the radar signal (which may also be represented by a frame), and the signal energy of the radar signal. Wherein the signal energy can pass through P iThe unit is decibel (dB), where i represents the frame number, the start frame of the frame number is a frame from which the radar transmits a probe radar signal and starts tracking the radar signal, and the end frame is a frame from which the radar receives the radar signal.
The signal parameters of the radar signals are recorded during the process of detecting the obstacles by the radar, so that the step can be realized by acquiring data from a radar processor.
At this time, the specific implementation manner of acquiring the signal parameter of the radar signal is related to the relationship between the detection device of the obstacle above the radar and the radar.
In one possible design, the upper obstacle detection device may be disposed inside the radar, and may be implemented as one or more processors (or processing modules) inside the radar, independent from the main processor, or may be implemented as one or more processing modules in the main processor. In this implementation scenario, the upper obstacle detection device may perform information interaction with a main processor of the radar, and request the main processor to obtain the signal parameters.
In another possible design, the upper obstacle detecting device may be provided independently of the radar, and in this case, data interaction may be implemented between the upper obstacle detecting device and the processor of the radar through wired or wireless communication. The wireless communication method may include, but is not limited to: Wireless-Fidelity (WiFi), bluetooth, Near Field Communication (NFC). In a specific implementation scene, the upper obstacle detection device can send a request to a processor of the radar in a wired or wireless mode, and the processor of the radar feeds data back to the upper obstacle detection device according to the request to achieve acquisition of signal parameters; alternatively, an automatic transmission rule, for example, a periodic transmission method, a real-time transmission method, or the like may be provided in the processor of the radar, and the upper obstacle detecting device may be configured to receive only the signal parameter transmitted by the processor of the radar by a wired or wireless method.
S404, acquiring the relative position relation between the target to be detected and the vehicle according to the signal parameters.
Based on the aforementioned inventive concept, the relative position relationship is used to represent the distance relationship between the target to be detected and the vehicle. Specifically, the relative positional relationship according to the embodiment of the present invention may include: a first distance between the vehicle and the object to be detected. I.e. the distance R shown in fig. 3.
In particular, this step can be realized by the transmission time of the detection radar signal and the reception time of the radar signal in the signal parameters.
For example, if the transmitting time of the detection radar signal is t1, the receiving time of the radar signal is t2, and the signal propagation speed is v, the propagation time of the radar signal between the radar and the target to be detected is (t2-t1), and thus the product of the propagation time and the signal propagation speed is obtained and divided by 2, and the first distance is obtained, which can be specifically expressed as: (t2-t1) v/2.
And S406, determining whether the target to be detected is an upper obstacle of the vehicle according to the relative position relationship and the change trend of the signal energy in the signal parameter in the target time period.
Based on the inventive concept shown in fig. 3, when the step of S406 in the scheme is implemented, it can be implemented in a manner as shown in fig. 5:
s4062, acquiring a trend parameter between the first distance and the signal energy in the target time period.
The embodiment of the invention provides a trend parameter, and the change trend between the first distance and the signal energy is represented by the trend parameter. Specifically, the trend parameter may be determined according to the variation of the first distance and the variation of the signal energy.
Specifically, the embodiment of the present invention provides two realizable ways for obtaining the trend parameter:
first, a trend parameter may be obtained over successive frames. The method can be realized by the following specific means:
1.1) acquiring a distance deviation value corresponding to each frame in a target time interval, wherein the distance deviation value is the difference between a first distance corresponding to the frame and a first distance average value in continuous multiple frames in the target time interval;
1.2) acquiring a signal energy deviation value corresponding to each frame in a target time period, wherein the signal energy deviation value is the difference between the signal energy corresponding to the frame and the average value of the signal energy in continuous multiple frames in the target time period;
1.3) acquiring a first change parameter and a second change parameter, wherein the first change parameter is the sum of products of distance deviation values and energy deviation values of frames in continuous multiple frames in a target time period; the second change parameter is the square sum of the distance deviation value of each frame in continuous multiple frames in the target time interval;
1.4) obtaining the ratio of the first variation parameter to the second variation parameter to be used as the trend parameter corresponding to the continuous multiframes.
Specifically, the method can be implemented by the following formula (formula one):
Figure BDA0002321683220000071
wherein the content of the first and second substances,
Figure BDA0002321683220000072
Figure BDA0002321683220000073
wherein S represents a trend parameter corresponding to a plurality of continuous frames, and R iIndicating a first distance, R, between the object to be detected and the vehicle at the i-th frame ·Mean value, P, representing a first distance between the object to be detected and the vehicle within successive frames iRepresenting the signal energy between the object to be detected and the vehicle at the i-th frame, P *Representing the average value of the signal energy between the object to be detected and the vehicle in successive frames i 0Representing the start of successive multiframes, i eIndicating the end frame of consecutive multiframes.
In one possible design, the consecutive multiframes may be specified as a target time period, at which time i 0Start frame, i, representing a target period eAn end frame indicating a target period.
Further, the aforementioned consecutive multiframes within the target period refer to at least two consecutive frames within the target period.
Second, a trend parameter within a single frame may be obtained. The method can be realized by the following specific means:
2.1) acquiring a distance deviation value corresponding to each frame except for the initial frame in the target time period, wherein the distance deviation value is the difference between a first distance corresponding to the frame and a first distance corresponding to the initial frame;
2.2) acquiring a signal energy deviation value corresponding to each frame except the initial frame in the target time period, wherein the signal energy deviation value is the difference between the signal energy corresponding to the frame and the signal energy corresponding to the initial frame;
and 2.3) acquiring the ratio of the signal energy deviation value to the distance deviation value in each frame except the initial frame in the target time interval to serve as a trend parameter corresponding to the frame.
Specifically, the method can be realized by the following formula (expressed as formula two):
Figure BDA0002321683220000074
wherein S is iIndicates a trend parameter, R, corresponding to the ith frame iIndicating a first distance, R, between the object to be detected and the vehicle at the i-th frame jA first distance, P, between the object to be detected and the vehicle corresponding to a start frame representing a target period iRepresenting the signal energy between the object to be detected and the vehicle at the i-th frame, P jIndicating the signal energy between the object to be detected and the vehicle corresponding to the start frame, and i indicating any frame except the start frame in the object period.
In addition to this, other variants of the second implementation are possible. For example, in one possible design, for any frame except the starting frame, when the signal energy deviation value and the distance deviation value corresponding to the frame are obtained, the signal energy and the distance corresponding to the starting frame may be replaced by: after the signal energy and the distance corresponding to the frame (or the specified number of frames, wherein the specified book number is an integer greater than 1) before the frame are obtained, the signal energy deviation value and the distance deviation value are obtained, and then the ratio of the signal energy deviation value to the distance deviation value is obtained to be used as the trend parameter corresponding to the frame.
It should be noted that, when the trend parameter is obtained through the first formula or the second formula, the obtaining sequence between the distance deviation value and the energy deviation value in the embodiment of the present invention is not particularly limited, and the two steps may be executed simultaneously or sequentially.
S4064, determining whether the target to be detected is an upper obstacle of the vehicle according to the trend parameter and a preset trend threshold value.
Specifically, in the foregoing steps, different trend parameters can be obtained, and based on the inventive concept shown in fig. 3, the determination of whether the target to be detected is an obstacle above the vehicle can be achieved by comparing the trend parameters with a preset trend threshold.
Specifically, if the detection is implemented through the first formula in S4062, the trend parameter corresponding to the consecutive multiple frames may be compared with a preset trend threshold, and if the trend parameter corresponding to the consecutive multiple frames is smaller than the trend threshold, it is determined that the target to be detected is an obstacle above the vehicle. Otherwise, if the trend parameter corresponding to the continuous multiple frames is larger than or equal to the trend threshold, determining that the target to be detected is not the obstacle above the vehicle.
Because the first formula is a trend parameter in a plurality of continuous frames, the detection can be realized by a direct comparison mode, and the first formula has higher accuracy and is beneficial to improving the detection accuracy.
If the detection is implemented by the formula two in S4062, since the formula two obtains the trend parameter in a single frame, in order to adapt to different detection requirements, the following three possible implementation manners are provided in the embodiment of the present invention:
in the first mode, in any frame except the initial frame in the target time period, the trend parameter corresponding to the frame is compared with the trend threshold, and if the trend parameter corresponding to the frame is smaller than the trend threshold, the target to be detected is determined to be an obstacle above the vehicle. Otherwise, if the trend parameter corresponding to the frame is larger than or equal to the trend threshold, determining that the target to be detected is not the obstacle above the vehicle.
The realization mode has less data processing amount and is beneficial to improving the detection efficiency.
In a second mode, in any frame except the initial frame in the target time period, if the trend parameter corresponding to the frame is smaller than the trend threshold, the number of continuous frames with the trend parameter smaller than the trend parameter threshold is obtained, and therefore, if the number of the continuous frames is larger than or equal to the preset frame threshold, the target to be detected is determined to be an obstacle above the vehicle, wherein the frame threshold is at least two frames.
It can be known that, if the number of the aforementioned consecutive frames is smaller than the preset frame threshold, it is determined that the object to be detected is not an obstacle above the vehicle.
That is, if the determination result of a single frame is yes, in order to further ensure that the determination result is not an accidental situation, the target to be detected is determined as an obstacle above the vehicle only when at least two frames are both determined as yes. Compared with the first mode, the implementation mode is equivalent to the addition of a secondary inspection process, so that the accidental situations can be further avoided, and the detection accuracy is further improved.
And thirdly, acquiring the average value of the trend parameters corresponding to the frames except the initial frame in the target time period, and determining that the target to be detected is the upper obstacle of the vehicle if the average value of the trend parameters is smaller than a trend threshold value.
In the implementation mode, the average value of the trend parameter of the whole target time interval can represent the relative position relation and the change trend of the signal energy in the target time interval, and the detection accuracy is improved.
By the scheme, the detection of the target to be detected can be realized.
In addition, it should be noted that the trend threshold in each of the foregoing implementations may be set as needed, and the trend threshold in each of the different implementations may be set to the same value, or may be set to different thresholds in combination with different detection requirements.
For example, in one possible design, the aforementioned trend threshold may be set to the same value, e.g., to 0.05.
In addition, as can be seen from fig. 1 and 2, the upper obstacle above the road is generally closer to the boundary line of the road, that is, the lateral distance in the X-axis direction is generally within a certain distance threshold range, and therefore, the characteristic can be used as an auxiliary characteristic in the detection step.
At this time, the relative position relationship in the embodiment of the present invention may further include a second distance in addition to the first distance, where the second distance is a distance between the target to be detected and the radar pointing line. For example, the second distance of the upper left obstacle shown in fig. 1 is the distance between the upper left obstacle and the radar pointing line; the second distance of the upper right obstacle shown in fig. 1 is the distance between the upper right obstacle and the radar pointing line.
In particular, the method may be implemented with reference to the method shown in fig. 6. As shown in fig. 6, before executing S406, the method further includes the steps of:
s4052, a first distance and a second distance are respectively obtained for each frame in the target time interval.
The first distance is a linear distance between the target to be detected and the vehicle, and is not described in detail.
S4054, judging whether the target to be detected is an obstacle to be detected above according to the first distance and the second distance.
If so, S406 is executed, that is, the step of determining whether the target to be detected is an upper obstacle of the vehicle according to the relative position relationship and the variation trend of the signal energy in the target time period is executed, which is not described again.
If not, executing S408, and determining that the target to be detected is not the upper obstacle of the vehicle.
Specifically, the determination process may be: and if the first distance is greater than the first distance threshold value and the second distance is less than a preset second distance threshold value, determining that the target to be detected is an obstacle to be detected above. Otherwise, if the first distance is smaller than or equal to the first distance threshold value and/or the second distance is larger than or equal to a preset second distance threshold value, determining that the target to be detected is not the obstacle to be detected.
In addition, it should be noted that the implementation shown in fig. 6 is a possible design, and the execution order of the lateral feature detection and the trend parameter detection implemented by the embodiment of the present invention is not particularly limited. That is, if the transverse characteristic detection is used as an auxiliary detection step for detecting the trend parameter, the target to be detected can be finally determined to be the obstacle to be detected only if the detection results of the transverse characteristic detection and the detection results of the trend parameter detection are both yes; otherwise, if the detection result of at least one detection step is negative, determining that the target to be detected is not the obstacle to be detected.
Therefore, in other possible designs, the detection of the trend parameter may be performed first, and if the detection result is yes, the transverse characteristic detection as shown in fig. 6 is performed, and at this time, if the detection result is yes, it may be determined that the target to be detected is the obstacle to be detected above
In addition to the foregoing flow, as shown in fig. 3, the embodiment of the present invention further provides a possible detection method: the detection of the target to be detected is realized by using the elevation angle a shown in fig. 3. In this case, the detection method may be used as an auxiliary solution to any of the above-mentioned realizable solutions, so that, on the premise that the inspection results of the above-mentioned solutions are all yes, if the elevation angle detection result is also yes, it is determined that the target to be detected is an obstacle to be detected above. Otherwise, if the detection result of any detection step is negative, determining that the target to be detected is not the obstacle to be detected.
Specifically, if the elevation angle is used as a detection basis for the above obstacle, the variation trend between the elevation angle and the signal energy may be obtained in a manner similar to the implementation manner of the first distance, and the detection of the target to be detected may be implemented by comparing a second trend parameter capable of representing the variation trend with a second trend threshold. The implementation is the same as above, and is not described in detail.
In addition, considering that the conventional radar may not have a measurement tool for an elevation angle, if the elevation angle is used as a detection basis for an obstacle above, the elevation angle measurement tool needs to be provided, which increases the hardware equipment cost to some extent.
Besides detecting the target to be detected based on the scheme to determine whether the target to be detected is an obstacle above the vehicle, the radar can also detect the obstacle in front of the vehicle, and the detection mode can be realized by adopting a similar means of the detection method provided by the embodiment of the invention besides the existing mode.
Specifically, as described in the implementation scenario shown in fig. 3, as the vehicle travels forward, the signal energy of the radar signal reflected by the ground obstacle is higher, and thus, in a manner similar to fig. 1, according to the relative positional relationship and the trend of the signal energy of the radar signal in the target period, if the signal energy of the radar signal increases as the first distance decreases, it may be determined as the ground obstacle of the vehicle.
In addition, the scheme can be realized only by the radar capable of realizing the transmission and the reception of the radar signals, so that the embodiment of the invention has no special limitation on the type of the radar.
In one possible implementation scenario, such as the background art automatic driving or assisted driving scenario, the radar involved in the foregoing implementation steps may be a millimeter wave radar.
It is to be understood that some or all of the steps or operations in the above-described embodiments are merely examples, and other operations or variations of various operations may be performed by the embodiments of the present invention. Further, the various steps may be performed in a different order presented in the above-described embodiments, and it is possible that not all of the operations in the above-described embodiments are performed.
Based on the above-mentioned method for detecting an obstacle, the embodiment of the present invention further provides an embodiment of an apparatus for implementing the steps and methods of the above-mentioned method embodiment.
An embodiment of the present invention provides an upper obstacle detection device, referring to fig. 7, the upper obstacle detection device 700 includes:
a memory 710;
a processor 720; and
a computer program;
wherein the computer program is stored in the memory 710 and configured to be executed by the processor 720 to implement the methods as described in the above embodiments.
In addition, as shown in fig. 7, a transceiver 730 is further disposed in the upper obstacle detecting device 700 for data transmission or communication with other devices, which is not described herein again.
As shown in fig. 7, the memory 710, the processor 720 and the transceiver 730 are connected via a bus and communicate with each other.
The number of the processors 720 in the upper obstacle detection device 700 may be one or more, and the processors 720 may also be referred to as a processing unit, which may implement a certain control function. The processor 720 may be a general purpose processor, a special purpose processor, or the like.
In an alternative design, the processor 720 may also store instructions that can be executed by the processor to cause the upper obstacle detection apparatus 700 to perform the method described in the above method embodiment.
In yet another possible design, the upper obstacle detecting device 700 may include circuitry that may perform the functions of transmitting or receiving or communicating in the foregoing method embodiments.
Optionally, the number of the memories 710 in the upper obstacle detection device 700 may be one or more, and the memories 710 have instructions or intermediate data stored thereon, and the instructions may be executed on the processor, so that the upper obstacle detection device 700 performs the method described in the above method embodiments. Optionally, other related data may also be stored in the memory 710. Optionally, processor 720 may also store instructions and/or data therein. The processor 720 and the memory 710 may be provided separately or may be integrated together.
Further, the processor 720 may be referred to as a processing unit. The transceiver 730 may be referred to as a transceiver unit, a transceiver circuit, a transceiver, or the like, and is used for implementing the transceiving function of the upper obstacle detecting device 700.
Specifically, in a possible implementation scenario, if the upper obstacle detection apparatus 700 is used to implement the operation corresponding to the upper obstacle detection method in the embodiment shown in fig. 4, the transceiver 730 is used to acquire the signal parameters of the radar signal reflected by the target to be detected.
The transceiver 730 may further perform other corresponding communication functions. And processor 720 is configured to perform the corresponding determination or control operations, and optionally, may store corresponding instructions in memory 710. The specific processing manner of each component can be referred to the related description of the previous embodiment.
The processor 720 and the transceiver 730 described in the embodiments of the present invention may be implemented on an Integrated Circuit (IC), an analog IC, a Radio Frequency Integrated Circuit (RFIC), a mixed signal IC, an Application Specific Integrated Circuit (ASIC), a Printed Circuit Board (PCB), an electronic device, or the like. The processor and transceiver may also be fabricated using various 1C process technologies, such as Complementary Metal Oxide Semiconductor (CMOS), N-type metal oxide semiconductor (NMOS), P-type metal oxide semiconductor (PMOS), Bipolar Junction Transistor (BJT), Bipolar CMOS (bicmos), silicon germanium (SiGe), gallium arsenide (GaAs), and the like.
Alternatively, the upper obstacle detecting device 700 may be a stand-alone device or may be part of a larger device.
Furthermore, an embodiment of the present invention provides a readable storage medium, on which a computer program is stored, the computer program being executed by a processor to implement the method described in the foregoing embodiment.
Furthermore, the embodiment of the present invention also provides a computer program product, which is used to execute the method described in the foregoing embodiment when the computer program is executed by a computer.
In a possible design, the program in the eighth aspect may be stored in whole or in part on a storage medium packaged with the processor, or in part or in whole on a memory not packaged with the processor.
Also, an embodiment of the present invention provides an overhead obstacle detection system, please refer to fig. 8, where the overhead obstacle detection system 800 includes:
upper obstacle detecting device 700;
and a radar 810 for emitting a detection radar signal and receiving the radar signal reflected by the target to be detected.
In one possible design, the radar is a millimeter wave radar.
In addition, an embodiment of the present invention further provides a vehicle, please refer to fig. 9, where the vehicle 900 includes: upper obstacle detection system 800. The vehicle 900 may be a conventional vehicle including the overhead obstacle detection system 800, or a vehicle equipped with an ADAS system, or an autonomous vehicle. In one possible embodiment, the radar 810 in the vehicle 900 may be disposed at the head or a front portion of the vehicle 900, thereby acquiring environmental information in front of the vehicle; the upper obstacle detecting device 700 may be disposed in the vehicle interior, for example, near the vehicle control device, and is not limited thereto. Communication between the radar 810 and the upper obstacle detection device 700 in the vehicle 900 may be through a CAN bus, an ethernet link, wireless communication, near field communication, etc., without limitation.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims (22)

1. An overhead obstacle detection method, comprising:
acquiring signal parameters of radar signals reflected by a target to be detected in a target time period in the running process of a vehicle;
acquiring the relative position relation between the target to be detected and the vehicle according to the signal parameters;
and determining whether the target to be detected is an obstacle above the vehicle or not according to the relative position relation and the change trend of the signal energy in the signal parameter in the target time period.
2. The method of claim 1, wherein the relative positional relationship comprises: a first distance between the vehicle and the object to be detected.
3. The method according to claim 2, wherein the determining whether the object to be detected is an obstacle above the vehicle according to the relative positional relationship and the trend of change of the signal energy in the target period comprises:
acquiring a trend parameter between the first distance and the signal energy in the target time period;
and determining whether the target to be detected is an obstacle above the vehicle or not according to the trend parameter and a preset trend threshold value.
4. The method of claim 3, wherein obtaining a trend parameter between the first distance and the signal energy over the target time period comprises:
acquiring a distance deviation value corresponding to each frame in the target time period, wherein the distance deviation value is the difference between a first distance corresponding to the frame and a first distance average value in continuous multiple frames in the target time period;
acquiring a signal energy deviation value corresponding to each frame in the target time period, wherein the signal energy deviation value is the difference between the signal energy corresponding to the frame and the average value of the signal energy in the continuous multiple frames;
acquiring a first variation parameter and a second variation parameter, wherein the first variation parameter is the sum of products of the distance deviation value and the energy deviation value of each frame in the continuous multiple frames; the second variation parameter is the square sum of the distance deviation values of all frames in the continuous multiple frames;
and acquiring the ratio of the first variation parameter to the second variation parameter to serve as the trend parameter corresponding to the continuous multiframes.
5. The method according to claim 4, wherein the determining whether the target to be detected is an obstacle above the vehicle according to the trend parameter and a preset trend threshold comprises:
and if the trend parameter corresponding to the continuous multiframes is smaller than the trend threshold value, determining that the target to be detected is an obstacle above the vehicle.
6. The method of claim 3, wherein obtaining a trend parameter between the first distance and the signal energy over the target time period comprises:
acquiring a distance deviation value corresponding to each frame except for the initial frame in the target time period, wherein the distance deviation value is the difference between a first distance corresponding to the frame and a first distance corresponding to the initial frame;
acquiring a signal energy deviation value corresponding to each frame except for the initial frame in the target time period, wherein the signal energy deviation value is the difference between the signal energy corresponding to the frame and the signal energy corresponding to the initial frame;
and acquiring the ratio of the signal energy deviation value to the distance deviation value in each frame except for the initial frame in the target time period to serve as a trend parameter corresponding to the frame.
7. The method according to claim 6, wherein the determining whether the object to be detected is an obstacle above the vehicle according to the trend parameter and a preset trend threshold comprises:
and if the trend parameter corresponding to any frame except the initial frame in the target time interval is smaller than the trend threshold, determining that the target to be detected is an upper obstacle of the vehicle.
8. The method according to claim 6, wherein the determining whether the object to be detected is an obstacle above the vehicle according to the trend parameter and a preset trend threshold comprises:
if the trend parameter corresponding to any frame except the initial frame in the target time interval is smaller than the trend threshold, acquiring the number of continuous frames of which the trend parameter is smaller than the trend parameter threshold;
and if the number of the continuous frames is larger than or equal to a preset frame threshold, determining that the target to be detected is an obstacle above the vehicle, wherein the frame threshold is at least two frames.
9. The method according to claim 6, wherein the determining whether the object to be detected is an obstacle above the vehicle according to the trend parameter and a preset trend threshold comprises:
acquiring the average value of the trend parameters corresponding to each frame except for the initial frame in the target time period;
and if the average value of the trend parameters is smaller than the trend threshold value, determining that the target to be detected is an obstacle above the vehicle.
10. The method according to any one of claims 1 to 9, wherein the relative positional relationship further includes a second distance, which is a distance between the target to be detected and a directional line of the radar.
11. The method according to claim 10, wherein before determining whether the object to be detected is an obstacle above the vehicle according to the relative positional relationship and the trend of change in the signal energy over the target period, the method further comprises:
respectively acquiring a first distance and the second distance in each frame of the target time interval, wherein the first distance is a linear distance between the target to be detected and the vehicle;
judging whether the target to be detected is an obstacle to be detected above according to the first distance and the second distance;
and if so, determining whether the target to be detected is an obstacle above the vehicle according to the relative position relation and the change trend of the signal energy in the target time period.
12. The method according to claim 11, wherein the determining whether the target to be detected is a candidate obstacle according to the first distance and the second distance comprises:
and if the first distance is greater than a first distance threshold value and the second distance is less than a preset second distance threshold value, determining that the target to be detected is the obstacle to be detected above.
13. Method according to any of claims 1-9, characterized in that the radar signal is a signal emitted by a radar and received by the radar after reflection by the object to be detected.
14. The method of claim 13, wherein the ending frame of the target period is a current frame and the starting frame of the target period is a frame in which the radar initially receives the reflected radar signal.
15. The method of claim 13, wherein the ending frame of the target period is a current frame and the starting frame of the target period is a frame from which the radar starts tracking the reflected radar signal after the radar initially emits the radar signal.
16. The method of claim 13, wherein the radar is a millimeter wave radar.
17. An overhead obstacle detection device, comprising:
a memory;
a processor; and
a computer program;
wherein the computer program is stored in the memory and configured to be executed by the processor to implement the method of any one of claims 1-16.
18. The apparatus of claim 17, further comprising:
a transceiver to acquire signal parameters of a radar signal.
19. An overhead obstacle detection system, comprising:
an overhead obstacle detecting device according to claim 17 or 18;
and the radar is used for sending out a detection radar signal and receiving the radar signal reflected by the target to be detected.
20. The system of claim 19, wherein the radar is a millimeter wave radar.
21. A vehicle, comprising: an overhead obstacle detection system as claimed in claim 19 or 20.
22. A computer-readable storage medium, having stored thereon a computer program for execution by a processor to perform the method of any one of claims 1-16.
CN201880040372.3A 2018-11-30 2018-11-30 Upper obstacle detection method, device, system, vehicle and storage medium Pending CN110785676A (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2018/118770 WO2020107474A1 (en) 2018-11-30 2018-11-30 Method and device for detecting obstacles above, system, vehicle and storage medium

Publications (1)

Publication Number Publication Date
CN110785676A true CN110785676A (en) 2020-02-11

Family

ID=69383078

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201880040372.3A Pending CN110785676A (en) 2018-11-30 2018-11-30 Upper obstacle detection method, device, system, vehicle and storage medium

Country Status (2)

Country Link
CN (1) CN110785676A (en)
WO (1) WO2020107474A1 (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113341417A (en) * 2021-06-09 2021-09-03 深圳市九洲电器有限公司 Detection radar-based road obstacle detection method, vehicle and storage medium
CN113640811A (en) * 2021-08-13 2021-11-12 浙江吉利控股集团有限公司 Data processing method and device, electronic equipment and storage medium
CN114190821A (en) * 2020-09-16 2022-03-18 尚科宁家(中国)科技有限公司 Cleaning robot capable of walking smoothly

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1502047A (en) * 2001-02-09 2004-06-02 �����ѧ�͹�ҵ�о���֯ Lidar system and method
CN101216561A (en) * 2008-01-02 2008-07-09 凌子龙 Automatic backing parking radar
JP2008232833A (en) * 2007-03-20 2008-10-02 Denso Corp Noise floor intensity calculation method and fmcw radar
JP2012018058A (en) * 2010-07-07 2012-01-26 Honda Elesys Co Ltd Lader device and computer program
CN103033808A (en) * 2012-12-24 2013-04-10 西安电子工程研究所 Method and device of railway roadblock detection and alarm based on radar return characteristics
CN103513234A (en) * 2012-06-19 2014-01-15 中国科学院电子学研究所 Moving object rapid detection method based on matrix recovery and system thereof
JP2014006071A (en) * 2012-06-21 2014-01-16 Toyota Motor Corp Upper structure detection device
CN106383339A (en) * 2016-08-30 2017-02-08 电子科技大学 Mirror-image object inhibition method of multi-site radar signal-level combined detection
JP2017227622A (en) * 2016-06-17 2017-12-28 株式会社デンソーテン Radar device and radar device control method
CN108205136A (en) * 2016-12-20 2018-06-26 北京行易道科技有限公司 radar and detection device
JP2018119985A (en) * 2018-04-06 2018-08-02 株式会社デンソーテン Radar device, vehicle control system, and signal processing method

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1502047A (en) * 2001-02-09 2004-06-02 �����ѧ�͹�ҵ�о���֯ Lidar system and method
JP2008232833A (en) * 2007-03-20 2008-10-02 Denso Corp Noise floor intensity calculation method and fmcw radar
CN101216561A (en) * 2008-01-02 2008-07-09 凌子龙 Automatic backing parking radar
JP2012018058A (en) * 2010-07-07 2012-01-26 Honda Elesys Co Ltd Lader device and computer program
CN103513234A (en) * 2012-06-19 2014-01-15 中国科学院电子学研究所 Moving object rapid detection method based on matrix recovery and system thereof
JP2014006071A (en) * 2012-06-21 2014-01-16 Toyota Motor Corp Upper structure detection device
CN103033808A (en) * 2012-12-24 2013-04-10 西安电子工程研究所 Method and device of railway roadblock detection and alarm based on radar return characteristics
JP2017227622A (en) * 2016-06-17 2017-12-28 株式会社デンソーテン Radar device and radar device control method
CN106383339A (en) * 2016-08-30 2017-02-08 电子科技大学 Mirror-image object inhibition method of multi-site radar signal-level combined detection
CN108205136A (en) * 2016-12-20 2018-06-26 北京行易道科技有限公司 radar and detection device
JP2018119985A (en) * 2018-04-06 2018-08-02 株式会社デンソーテン Radar device, vehicle control system, and signal processing method

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
冯冬青;崔盈慧;张西雅;: "基于雷达散射截面的汽车前方障碍物分类识别", no. 01, pages 114 - 117 *
王兰英: "船舶导航雷达目标自动检测算法研究", vol. 39, no. 39, pages 106 - 108 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114190821A (en) * 2020-09-16 2022-03-18 尚科宁家(中国)科技有限公司 Cleaning robot capable of walking smoothly
CN113341417A (en) * 2021-06-09 2021-09-03 深圳市九洲电器有限公司 Detection radar-based road obstacle detection method, vehicle and storage medium
CN113341417B (en) * 2021-06-09 2024-04-19 深圳市九洲电器有限公司 Road surface obstacle detection method based on detection radar, vehicle and storage medium
CN113640811A (en) * 2021-08-13 2021-11-12 浙江吉利控股集团有限公司 Data processing method and device, electronic equipment and storage medium
CN113640811B (en) * 2021-08-13 2024-06-14 浙江吉利控股集团有限公司 Data processing method, device, electronic equipment and storage medium

Also Published As

Publication number Publication date
WO2020107474A1 (en) 2020-06-04

Similar Documents

Publication Publication Date Title
US11635766B2 (en) Method for docking and automatically charging robot, charging station and robot
KR101172240B1 (en) Sensor and alignment adjusting method
US9188667B2 (en) Moving object detecting apparatus, moving object detecting method, and computer readable recording medium
CN110785676A (en) Upper obstacle detection method, device, system, vehicle and storage medium
JP5146674B2 (en) Radar interference avoidance apparatus and radar interference avoidance method
CN110782465B (en) Ground segmentation method and device based on laser radar and storage medium
WO2020082985A1 (en) Detection method, device, and system
US20210356556A1 (en) Radio Signal Sending Method and Apparatus
JP7361804B2 (en) Communication method and communication device
CN111699404B (en) Driving auxiliary target acquisition method and device, radar, driving system and vehicle
WO2014073558A1 (en) In-vehicle radar device and slope determination method used in same device
WO2020177647A1 (en) Method using radio signal to probe target entity, and related device
CN109991596A (en) For detecting the device and method of target
US10444343B2 (en) Mobile navigation method and system
CN113267768A (en) Detection method and device
CN115015851A (en) Method, radar system and software product for avoiding interference between radar sensors of a motor vehicle
WO2020238311A1 (en) Radar signal transmitting method and device
JP2019070567A (en) Moving object recognizing radar device
CN109050583B (en) Urban rail train anti-collision early warning method and system
CN105445728B (en) Method for early warning and Vehicle radar system
CN106093458A (en) Single launching beam triantennary microwave speed and vehicle detect radar and detection method
KR20150098439A (en) Vehicle detecting system based on radar and detecting method thereof
CN114360186A (en) Construction early warning method and equipment
JPWO2017104224A1 (en) Driving support information transmission system, receiver, driving support system, and driving support information transmission method
CN112630767A (en) Method and device for reporting and receiving information

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
TA01 Transfer of patent application right
TA01 Transfer of patent application right

Effective date of registration: 20240522

Address after: Building 3, Xunmei Science and Technology Plaza, No. 8 Keyuan Road, Science and Technology Park Community, Yuehai Street, Nanshan District, Shenzhen City, Guangdong Province, 518057, 1634

Applicant after: Shenzhen Zhuoyu Technology Co.,Ltd.

Country or region after: China

Address before: 518057 Shenzhen Nanshan High-tech Zone, Shenzhen, Guangdong Province, 6/F, Shenzhen Industry, Education and Research Building, Hong Kong University of Science and Technology, No. 9 Yuexingdao, South District, Nanshan District, Shenzhen City, Guangdong Province

Applicant before: SZ DJI TECHNOLOGY Co.,Ltd.

Country or region before: China