CN116279506A - Vehicle running monitoring method, device, vehicle-mounted equipment and storage medium - Google Patents
Vehicle running monitoring method, device, vehicle-mounted equipment and storage medium Download PDFInfo
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- CN116279506A CN116279506A CN202310584933.9A CN202310584933A CN116279506A CN 116279506 A CN116279506 A CN 116279506A CN 202310584933 A CN202310584933 A CN 202310584933A CN 116279506 A CN116279506 A CN 116279506A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 96
- 238000000034 method Methods 0.000 title claims abstract description 59
- 238000012806 monitoring device Methods 0.000 claims abstract description 21
- 230000004888 barrier function Effects 0.000 abstract description 30
- 238000007790 scraping Methods 0.000 description 7
- 230000006870 function Effects 0.000 description 5
- 238000004891 communication Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/02—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to ambient conditions
- B60W40/06—Road conditions
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/08—Interaction between the driver and the control system
- B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2420/00—Indexing codes relating to the type of sensors based on the principle of their operation
- B60W2420/40—Photo, light or radio wave sensitive means, e.g. infrared sensors
- B60W2420/403—Image sensing, e.g. optical camera
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2420/00—Indexing codes relating to the type of sensors based on the principle of their operation
- B60W2420/40—Photo, light or radio wave sensitive means, e.g. infrared sensors
- B60W2420/408—Radar; Laser, e.g. lidar
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2552/00—Input parameters relating to infrastructure
- B60W2552/50—Barriers
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/10—Internal combustion engine [ICE] based vehicles
- Y02T10/40—Engine management systems
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- Transportation (AREA)
- Mechanical Engineering (AREA)
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- Mathematical Physics (AREA)
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Abstract
The invention discloses a vehicle running monitoring method, a vehicle running monitoring device, vehicle-mounted equipment and a storage medium, wherein the vehicle running monitoring method comprises the following steps: monitoring a driving road condition in front of the vehicle by a monitoring device provided on the vehicle; judging whether the monitored running road condition in front of the vehicle meets a preset bottom scratch risk condition or not; and outputting prompt information when the condition of the running road in front of the vehicle is monitored to meet the preset bottom scratch risk condition. The method can pre-judge the risk of the bottom scratch of the vehicle, and prompt the driver for the barrier in advance when the condition of the running road in front of the vehicle is monitored to meet the preset risk condition of the bottom scratch, so that the problem of the bottom scratch of the motor vehicle caused by the barrier at the bottom of the vehicle when the driver drives the vehicle is solved.
Description
Technical Field
The present invention relates to the field of vehicle driving safety, and in particular, to a vehicle driving monitoring method, device, vehicle-mounted apparatus, and storage medium.
Background
At present, the automobiles on the market are basically provided with front and rear view cameras, so that drivers can more comprehensively know road surface conditions, and the driving track is prejudged, thereby avoiding collision of the vehicles and avoiding personal and property loss of the drivers.
However, the vehicle bottom is often ignored by people, and the driver is more difficult to grasp the condition of the vehicle bottom than the surrounding condition of the vehicle, so that the vehicle bottom is sometimes difficult to avoid to scratch, and particularly, the condition is more easy to happen for the driver who frequently runs on roads with severe conditions such as mountain roads. In addition, the existing new energy automobiles are increasingly hot, and the battery in the chassis is easily ignited due to the scratch of the bottom of the automobile, so that driving safety accidents are caused.
Disclosure of Invention
The invention mainly aims to provide a vehicle running monitoring method, a vehicle running monitoring device, vehicle-mounted equipment and a storage medium, and aims to solve the technical problem that a vehicle bottom barrier is scratched on the bottom of a motor vehicle when the motor vehicle is driven.
In order to achieve the above object, the present invention provides a vehicle travel monitoring method including:
monitoring a driving road condition in front of the vehicle by a monitoring device provided on the vehicle;
Judging whether the monitored running road condition in front of the vehicle meets a preset bottom scratch risk condition or not;
and outputting prompt information when the condition of the running road in front of the vehicle is monitored to meet the preset bottom scratch risk condition.
Optionally, the step of determining whether the monitored running road condition in front of the vehicle meets a preset scratch risk condition includes:
acquiring flatness data and obstacle data of a driving road in front of a vehicle, wherein the flatness data and the obstacle data are monitored by the monitoring equipment;
and judging whether the running road condition meets a preset bottom scratch risk condition according to the flatness data and/or the obstacle data.
Optionally, the step of determining whether the running road condition meets a preset bottom scratch risk condition according to the flatness data includes:
according to the flatness data, analyzing through preset scratch risk conditions to obtain a first analysis result;
and if the first analysis result is that the running road is uneven, judging that the running road condition meets a preset bottom scratch risk condition.
Optionally, the step of determining whether the running road condition meets a preset bottom scratch risk condition according to the obstacle data includes:
According to the obstacle data, analyzing through the vehicle track and the chassis height of the vehicle to obtain a second analysis result;
if the second analysis result shows that the obstacle can scratch the vehicle, judging that the running road condition meets a preset bottom scratch risk condition.
Optionally, the step of obtaining a second analysis result by analyzing the vehicle track and the chassis height according to the obstacle data includes:
analyzing through the vehicle track according to the position data of the obstacle to obtain a third analysis result;
and if the third analysis result shows that the vehicle is at risk of scratch, analyzing through the chassis height of the vehicle according to the height data of the obstacle to obtain a second analysis result.
Optionally, the step of obtaining a third analysis result by analyzing the vehicle track according to the position data of the obstacle includes:
if the position of the obstacle is located on the vehicle track of the vehicle, a third analysis result is that the vehicle is at risk of scratch;
if the position of the obstacle is not located on the vehicle track of the vehicle, a third analysis result shows that the vehicle is free of scratch risk.
Optionally, if the third analysis result indicates that the vehicle does not have scratch risk, analyzing through the chassis height of the vehicle according to the height data of the obstacle, and obtaining the second analysis result includes:
if the height of the obstacle is higher than the chassis height of the vehicle, the second analysis result is that the obstacle can scratch the vehicle;
and if the height of the obstacle is lower than the chassis height of the vehicle, the second analysis result is that the obstacle cannot scratch the vehicle.
The embodiment of the invention also provides a vehicle running monitoring device, which comprises:
the monitoring module monitors the running road condition in front of the vehicle through monitoring equipment arranged on the vehicle;
the judging module is used for judging whether the monitored running road condition in front of the vehicle meets a preset bottom scratch risk condition or not;
and the prompt module is used for outputting prompt information when the condition of the running road in front of the vehicle is monitored to meet the preset bottom scratch risk condition.
The embodiment of the invention also provides vehicle-mounted equipment, which comprises a memory, a processor and a vehicle running monitoring program stored in the memory and capable of running on the processor, wherein the vehicle running monitoring program realizes the steps of the vehicle running monitoring method when being executed by the processor.
The embodiment of the invention also provides a computer readable storage medium, wherein the computer readable storage medium stores a vehicle running monitoring program, and the vehicle running monitoring program realizes the steps of the vehicle running monitoring method when being executed by a processor.
The vehicle running monitoring method, the vehicle running monitoring device, the vehicle-mounted equipment and the storage medium provided by the embodiment of the invention monitor the running road condition in front of the vehicle through the monitoring equipment arranged on the vehicle; judging whether the monitored running road condition in front of the vehicle meets a preset bottom scratch risk condition or not; and outputting prompt information when the condition of the running road in front of the vehicle is monitored to meet the preset bottom scratch risk condition. Therefore, through the technical scheme of the invention, the risk of scraping the bottom of the vehicle can be prejudged, and when the condition of the running road in front of the vehicle is monitored to meet the preset risk condition of scraping the bottom, the barrier prompt is carried out on the driver in advance, so that the bottom of the motor vehicle is prevented from being scraped, and the technical problem that the bottom of the motor vehicle is scraped by the barrier at the bottom of the vehicle when the motor vehicle is driven is solved.
Drawings
FIG. 1 is a schematic diagram of functional modules of an in-vehicle apparatus to which a vehicle travel monitoring device of the present invention belongs;
FIG. 2 is a flow chart of an exemplary embodiment of a method for monitoring vehicle travel in accordance with the present invention;
FIG. 3 is a flow chart of another exemplary embodiment of a method for monitoring vehicle travel in accordance with the present invention;
FIG. 4 is a schematic flow chart of the method for monitoring vehicle driving according to the present invention using flatness data for judgment;
FIG. 5 is a schematic diagram of a flow chart of determining using obstacle data in the vehicle driving monitoring method of the present invention;
FIG. 6 is a flow chart of the method for monitoring the driving of a vehicle according to the present invention;
fig. 7 is a schematic overall flow chart of another exemplary embodiment of a vehicle travel monitoring method of the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The main solutions of the embodiments of the present invention are: acquiring flatness data and obstacle data of a driving road in front of a vehicle, wherein the flatness data and the obstacle data are monitored by the monitoring equipment; and judging whether the running road condition meets a preset bottom scratch risk condition according to the flatness data and/or the obstacle data. According to the flatness data, analyzing through preset scratch risk conditions to obtain a first analysis result; and if the first analysis result is that the running road is uneven, judging that the running road condition meets a preset bottom scratch risk condition. According to the obstacle data, analyzing through the vehicle track and the chassis height of the vehicle to obtain a second analysis result; if the second analysis result shows that the obstacle can scratch the vehicle, judging that the running road condition meets a preset bottom scratch risk condition. Analyzing through the vehicle track according to the position data of the obstacle to obtain a third analysis result; and if the third analysis result shows that the vehicle is at risk of scratch, analyzing through the chassis height of the vehicle according to the height data of the obstacle to obtain a second analysis result. If the position of the obstacle is located on the vehicle track of the vehicle, a third analysis result is that the vehicle is at risk of scratch; if the position of the obstacle is not located on the vehicle track of the vehicle, a third analysis result shows that the vehicle is free of scratch risk. If the height of the obstacle is higher than the chassis height of the vehicle, the second analysis result is that the obstacle can scratch the vehicle; and if the height of the obstacle is lower than the chassis height of the vehicle, the second analysis result is that the obstacle cannot scratch the vehicle. Therefore, the problem that the motor vehicle is scratched by the vehicle bottom barrier of the driving vehicle is solved, the barrier prompt for the driver is realized, and the scratch between the motor vehicle and the barrier is avoided.
Based on the scheme of the invention, starting from the problem that the vehicle bottom obstacle cannot be detected in the vehicle running safety monitoring, so that scratch is caused, the vehicle running monitoring method is designed, the effectiveness of the vehicle running monitoring method is verified on the aspect of monitoring the road condition when the vehicle runs, and finally the safety of the vehicle running monitoring by the method is obviously improved.
The embodiment of the invention considers that when the related technology carries out the driving track prejudgement, the front or the rear of the vehicle is only monitored, the vehicle bottom is ignored, and compared with the surrounding situation of the vehicle, the driver is more difficult to master the situation of the vehicle bottom.
Therefore, in the embodiment of the invention, starting from the problem that the vehicle bottom obstacle cannot be detected in the vehicle running safety monitoring, so that scratch is caused, the vehicle running monitoring method is designed, the effectiveness of the vehicle running monitoring method is verified on the condition of a monitored road when the vehicle runs, and finally the safety of the vehicle running monitoring by the method is obviously improved.
Specifically, referring to fig. 1, fig. 1 is a schematic diagram of functional blocks of an in-vehicle apparatus to which the vehicle travel monitoring device of the present invention belongs. The vehicle travel monitoring device may be independent of a device of the vehicle-mounted apparatus that is capable of vehicle travel monitoring, and may be carried on the vehicle-mounted apparatus in the form of hardware or software. The vehicle-mounted equipment can be intelligent mobile equipment with a data processing function such as a mobile phone and a tablet personal computer, and can also be fixed vehicle-mounted equipment or a server with a data processing function.
In this embodiment, the vehicle-mounted device to which the vehicle travel monitoring apparatus belongs includes at least an output module 110, a processor 120, a memory 130, and a communication module 140.
The memory 130 stores therein an operating system and a vehicle travel monitoring program, and the vehicle travel monitoring device can monitor a travel road condition in front of the vehicle by a monitoring apparatus provided on the vehicle; judging whether the monitored running road condition in front of the vehicle meets a preset bottom scratch risk condition or not; and outputting prompt information when the condition of the running road in front of the vehicle is monitored to meet the preset bottom scratch risk condition. Monitoring by the vehicle travel monitoring program, obtaining information such as a travel monitoring result, and storing the information in the memory 130; the output module 110 may be a display screen or the like. The communication module 140 may include a WIFI module, a mobile communication module, a bluetooth module, and the like, and communicates with an external device or a server through the communication module 140.
Wherein the vehicle travel monitoring program in memory 130 when executed by the processor performs the steps of:
monitoring a driving road condition in front of the vehicle by a monitoring device provided on the vehicle;
Judging whether the monitored running road condition in front of the vehicle meets a preset bottom scratch risk condition or not;
and outputting prompt information when the condition of the running road in front of the vehicle is monitored to meet the preset bottom scratch risk condition.
Further, the vehicle travel monitoring program in the memory 130 when executed by the processor further performs the steps of:
acquiring flatness data and obstacle data of a driving road in front of a vehicle, wherein the flatness data and the obstacle data are monitored by the monitoring equipment;
and judging whether the running road condition meets a preset bottom scratch risk condition according to the flatness data and/or the obstacle data.
Further, the vehicle travel monitoring program in the memory 130 when executed by the processor further performs the steps of:
according to the flatness data, analyzing through preset scratch risk conditions to obtain a first analysis result;
and if the first analysis result is that the running road is uneven, judging that the running road condition meets a preset bottom scratch risk condition.
Further, the vehicle travel monitoring program in the memory 130 when executed by the processor further performs the steps of:
according to the obstacle data, analyzing through the vehicle track and the chassis height of the vehicle to obtain a second analysis result;
If the second analysis result shows that the obstacle can scratch the vehicle, judging that the running road condition meets a preset bottom scratch risk condition.
Further, the vehicle travel monitoring program in the memory 130 when executed by the processor further performs the steps of:
analyzing through the vehicle track according to the position data of the obstacle to obtain a third analysis result;
and if the third analysis result shows that the vehicle is at risk of scratch, analyzing through the chassis height of the vehicle according to the height data of the obstacle to obtain a second analysis result.
Further, the vehicle travel monitoring program in the memory 130 when executed by the processor further performs the steps of:
if the position of the obstacle is located on the vehicle track of the vehicle, a third analysis result is that the vehicle is at risk of scratch;
if the position of the obstacle is not located on the vehicle track of the vehicle, a third analysis result shows that the vehicle is free of scratch risk.
Further, the vehicle travel monitoring program in the memory 130 when executed by the processor further performs the steps of:
if the height of the obstacle is higher than the chassis height of the vehicle, the second analysis result is that the obstacle can scratch the vehicle;
And if the height of the obstacle is lower than the chassis height of the vehicle, the second analysis result is that the obstacle cannot scratch the vehicle.
According to the scheme, the running road condition in front of the vehicle is monitored through the monitoring equipment arranged on the vehicle; judging whether the monitored running road condition in front of the vehicle meets a preset bottom scratch risk condition or not; and outputting prompt information when the condition of the running road in front of the vehicle is monitored to meet the preset bottom scratch risk condition. Based on preset monitoring equipment and processing the collected information, the problem that the motor vehicle is scratched by the vehicle bottom obstacle when the motor vehicle is driven can be solved. According to the technical scheme, the risk of scraping the bottom of the vehicle can be prejudged, and when the condition of the running road in front of the vehicle is monitored to meet the preset risk condition of scraping the bottom, the barrier prompt is carried out on the driver in advance, so that the problem that the barrier at the bottom of the vehicle is scraped when the vehicle is driven is solved.
The method embodiments of the present invention are presented based on the above-described vehicle-mounted device architecture, but not limited to the above-described framework.
Referring to fig. 2, fig. 2 is a flowchart illustrating an exemplary embodiment of a vehicle driving monitoring method according to the present invention. The vehicle running monitoring method comprises the following steps:
step S01, monitoring the running road condition in front of the vehicle through monitoring equipment arranged on the vehicle;
the execution subject of the method of the present embodiment may be a vehicle running monitoring device, or may be a vehicle running monitoring vehicle-mounted apparatus or a server, and the present embodiment is exemplified by a vehicle running monitoring device that may be integrated into a vehicle-mounted apparatus having a data processing function.
In order to solve the problem that the current motor vehicle monitoring equipment only monitors the front and back of a vehicle, and a driver can intuitively observe the left and right of the vehicle, but often the obstacles appearing at the bottom of the vehicle and the concave-convex surface of the road surface are difficult to find whether the obstacles and the concave-convex surface of the road surface can cause scratch and scratch of the chassis of the vehicle, the protection of the battery stored on the chassis is particularly important relative to the popularization of a new energy automobile, and in order to realize the monitoring of the obstacles and the concave-convex surface of the road surface, the following steps are adopted:
firstly, special monitoring equipment is arranged at the bottom and the front of the vehicle, and the monitoring equipment can catch obstacles and jolts which possibly appear on the current road section. Including but not limited to cameras, radar, and other sensing devices.
And finally, capturing the road condition on the current road section in time through the monitored equipment, and acquiring data of the obstacle and the concave-convex road surface through the monitored equipment.
Step S02, judging whether the monitored running road condition in front of the vehicle meets a preset bottom scratch risk condition;
after the monitoring equipment acquires the obstacle or the concave-convex condition of the road surface of the current road section, in order to judge whether the road is scratched or not, the following steps are adopted:
firstly, analyzing the acquired data according to a processor, and analyzing through set bottom scratch risk conditions;
finally, judging whether the barrier or concave-convex condition of the current road section meets the bottom scratch risk condition, wherein the processor comprises, but is not limited to, equipment with a data processing and analyzing function such as a central console of an automobile and a mobile phone, and the like, and the equipment can calculate according to a specific algorithm to obtain whether the acquired data meets the bottom scratch risk condition.
And step S03, outputting prompt information when the condition of the running road in front of the vehicle is monitored to meet the preset bottom scratch risk condition.
When the condition of the current road section is known to meet the bottom scratch risk information, the following steps are adopted to prompt a driver:
Firstly, receiving a message that the equipment judges that scratch can occur;
finally, according to the distance situation of the obstacle or the concave-convex road surface obtained by the monitoring equipment, prompt tones with different frequencies are sent to the driver.
According to the scheme, the running road condition in front of the vehicle is monitored through the monitoring equipment arranged on the vehicle; judging whether the monitored running road condition in front of the vehicle meets a preset bottom scratch risk condition or not; and outputting prompt information when the condition of the running road in front of the vehicle is monitored to meet the preset bottom scratch risk condition. Therefore, through the technical scheme of the invention, the risk of scraping the bottom of the vehicle can be prejudged, and when the condition of the running road in front of the vehicle is monitored to meet the preset risk condition of scraping the bottom, the barrier prompt is carried out on the driver in advance, so that the bottom of the motor vehicle is prevented from being scraped, and the technical problem that the bottom of the motor vehicle is scraped by the barrier at the bottom of the vehicle when the motor vehicle is driven is solved.
Referring to fig. 3, fig. 3 is a flowchart illustrating another exemplary embodiment of a vehicle driving monitoring method according to the present invention.
Based on the embodiment shown in fig. 2, the step S02 of determining whether the monitored running road condition in front of the vehicle meets the preset bottom scratch risk condition includes:
Step S021, flatness data and obstacle data of a road running in front of the vehicle, which are monitored by the monitoring equipment, are obtained;
step S022, judging whether the running road condition meets a preset bottom scratch risk condition according to the flatness data and/or the obstacle data.
Specifically, after the monitoring device has acquired current road surface data, analyzing according to the acquired flatness data and/or barrier data, and determining whether the current road section meets the bottom scratch risk condition according to an analysis result, wherein the method comprises the following steps of:
firstly, after the monitoring equipment acquires the information that the current road has a leveling problem or an obstacle, acquiring the flatness data or the obstacle data of the road section by the monitoring equipment, wherein the flatness data comprise, but are not limited to, the distance between the current concave-convex position and a vehicle, the height or the depth of the current concave-convex position and the like; obstacle data includes, but is not limited to, the location, height, etc. of the obstacle.
And then analyzing the data according to the acquired data, and judging whether the running road condition meets the bottom scratch risk condition according to the analysis result, wherein the bottom scratch risk condition is whether the road surface is flat, the position of the obstacle is on the running track of the vehicle and the height of the obstacle is higher than the chassis of the vehicle in the embodiment.
In the determination of the flatness, if the vehicle is scratched by the concave-convex degree of the running road section, the vehicle is determined to meet the bottom scratch risk condition, and in the determination of the obstacle, when the obstacle position is on the running track of the vehicle and the obstacle height is higher than the chassis of the vehicle, the vehicle is determined to meet the bottom scratch risk condition. The flatness data and the obstacle data can be independently subjected to bottom scratch risk condition judgment, and can also be combined for judgment.
According to the scheme, flatness data and obstacle data of a road on which the vehicle is driven in front, which are monitored by the monitoring equipment, are obtained; and judging whether the running road condition meets a preset bottom scratch risk condition according to the flatness data and/or the obstacle data. Therefore, the judgment of the running road section condition is realized, support is provided for the prompt of scratch, and the accuracy of the scratch judgment is improved by applying a specific algorithm.
Referring to fig. 4, fig. 4 is a schematic flow chart of the vehicle running monitoring method according to the present invention, which involves judgment using flatness data.
Based on the embodiment shown in fig. 3, the step S022, according to the flatness data and/or the obstacle data, determines whether the running road condition meets a preset bottom scratch risk condition, includes:
Step S0221, analyzing through a preset scratch risk condition according to the flatness data to obtain a first analysis result;
step S0222, if the first analysis result is that the running road is uneven, determining that the running road condition meets a preset bottom scratch risk condition.
Specifically, in this embodiment, the determination of the bottom scratch risk condition is performed by using the flatness data, and in other embodiments, the determination of the bottom scratch risk condition may be performed by using the obstacle data, or may be performed by combining the two. The embodiment is realized by the following steps:
firstly, obtaining uneven data of a road surface through monitoring equipment, analyzing according to the evenness data through scratch risk conditions to obtain a first analysis result, wherein when no concave and convex parts exist on the road surface, the obtained first analysis result is that the current road section is level, and when the concave and convex parts exist on the road surface, the obtained first analysis result is that the current road section is uneven;
and finally, if the obtained first analysis result is that the current road section is uneven, judging that the current running road section meets the bottom scratch risk condition.
When the obtained first analysis result is that the current road section is smooth, the current road section is judged to not meet the bottom scratch risk condition, and then a prompt is not sent to a driver, but whether the running road section meets the bottom scratch risk condition is continuously monitored.
According to the scheme, specifically, according to the flatness data, analysis is performed through preset scratch risk conditions, and a first analysis result is obtained; and if the first analysis result is that the running road is uneven, judging that the running road condition meets a preset bottom scratch risk condition. Therefore, the flatness analysis of the driving road section is realized, the problem of scraping and rubbing the bottom of the vehicle caused by uneven road surface is solved, and the safety of driving the vehicle is improved.
Referring to fig. 5, fig. 5 is a schematic flow chart of the vehicle running monitoring method according to the present invention, which involves judgment using obstacle data.
Based on the embodiment shown in fig. 3, step S022, the step of determining whether the running road condition meets a preset bottom scratch risk condition according to the flatness data and/or the obstacle data further includes:
step S0223, analyzing through the travelling path and the chassis height of the vehicle according to the obstacle data to obtain a second analysis result;
Step S0224, if the second analysis result is that the obstacle may cause scratch to the vehicle, determining that the running road condition meets a preset bottom scratch risk condition.
Specifically, after the obstacle data is obtained after the monitoring device is monitored, the obstacle data is analyzed, and according to the analysis result, the condition of the running road is judged to meet the preset bottom scratch condition, and the following steps are adopted to realize:
firstly, after position data and height data of an obstacle are obtained, carrying out first analysis on the position data of the obstacle by adopting a running track of a vehicle;
then, if the result of the first analysis is that the obstacle is on the running track of the vehicle, the risk that the current vehicle is scratched can be known;
then, highly analyzing the barrier with scratch risk to obtain a second analysis result;
finally, when the second analysis result shows that the height of the obstacle is higher than the chassis height of the vehicle, the obstacle can be known to scratch the vehicle, and the running road condition is judged to meet the bottom scratch risk condition.
The method comprises the steps of judging a bottom scratch risk condition of an obstacle, and analyzing the position and the height of the obstacle, the running track of a vehicle and the height of a chassis in the embodiment. In other embodiments, the bottom scratch risk condition may be modified according to the actual road conditions.
According to the scheme, the second analysis result is obtained by analyzing the vehicle track and the chassis height according to the obstacle data; if the second analysis result shows that the obstacle can scratch the vehicle, judging that the running road condition meets a preset bottom scratch risk condition. Therefore, the analysis of barrier data is realized by combining the bottom scratch risk condition, data support is provided for the accuracy of the bottom scratch prompt, the barrier scratch during driving of the vehicle is avoided, and the driving safety is improved.
Referring to fig. 6, fig. 6 is a schematic flow chart of a vehicle running monitoring method according to the present invention, which involves obtaining an analysis result of obstacle data.
Based on the embodiment shown in fig. 5, step S0223, according to the obstacle data, the step of analyzing by the track and the chassis height of the vehicle, and obtaining the second analysis result includes:
step S02231, analyzing through the vehicle track according to the position data of the obstacle to obtain a third analysis result;
step S02232, if the third analysis result indicates that the vehicle is at risk of scratch, analyzing through the chassis height of the vehicle according to the height data of the obstacle, so as to obtain a second analysis result.
Specifically, after the position data of the obstacle is acquired, in order to judge whether the position of the obstacle is at risk of scratch, the method is realized by the following steps:
firstly, according to the acquired obstacle position data, analyzing by combining the running track of the vehicle to obtain a third analysis result, wherein in the embodiment, the running track of the vehicle is obtained by monitoring the road section by the monitoring equipment, for example, the current road section is a steering intersection, a straight running and the like, the running track can be obtained by pre-judging, and the third analysis result that the vehicle has a scratch risk can be obtained by combining the acquired obstacle position;
finally, the third analysis result is that the vehicle is at risk of scratch, and the second analysis result is obtained by combining the height data of the obstacle and the chassis height of the vehicle, wherein the chassis height data of the vehicle can be input into a vehicle running monitoring device in advance or can be obtained by monitoring equipment in a camera, radar and other modes.
According to the scheme, specifically, according to the position data of the obstacle, the third analysis result is obtained through analysis of the vehicle track; and if the third analysis result shows that the vehicle is at risk of scratch, analyzing through the chassis height of the vehicle according to the height data of the obstacle to obtain a second analysis result. The position and the height data of the obstacle are combined, the bottom scratch risk of the vehicle is analyzed, an accurate scratch risk prompt is obtained, the driver is prevented from being prompted according to a single condition after the obstacle is found, and the accuracy of scratch risk analysis is improved.
Further, based on the embodiment shown in fig. 6, the step S02231 of analyzing the vehicle track according to the position data of the obstacle, and the step of obtaining the third analysis result may include:
if the position of the obstacle is located on the vehicle track of the vehicle, a third analysis result is that the vehicle is at risk of scratch;
if the position of the obstacle is not located on the vehicle track of the vehicle, a third analysis result shows that the vehicle is free of scratch risk.
Specifically, in order to obtain whether a vehicle is at risk of scratch or not, the following steps are adopted:
firstly, analyzing according to the acquired obstacle position information and combining the running track of the vehicle;
then, two possibilities are obtained, namely that the obstacle is not located on the running track of the vehicle and that the obstacle is located on the running track of the vehicle;
and finally, when the obstacle is not positioned on the running track of the vehicle, obtaining a third analysis result that the vehicle is free from scratch risk, and when the obstacle is positioned on the running track of the vehicle, obtaining the third analysis result that the vehicle is free from scratch risk.
When the analysis result shows that the vehicle has no scratch risk, the road surface condition can be known to not meet the bottom scratch risk, and the follow-up road surface condition is continuously monitored through the monitoring equipment at the moment, and the road surface condition can be closed through user operation.
According to the scheme, particularly, if the position of the obstacle is located on the track of the vehicle, a third analysis result shows that the vehicle is at risk of scratch; if the position of the obstacle is not located on the vehicle track of the vehicle, a third analysis result shows that the vehicle is free of scratch risk. Whether the barrier is scratched to the vehicle or not is judged preliminarily, the judgment accuracy of the bottom scratch risk condition is improved, and the pre-prompt of the vehicle scratch is realized.
Further, based on the embodiment shown in fig. 6, in step S02232, if the third analysis result indicates that the vehicle is at risk of scratch, the step of obtaining the second analysis result by analyzing the chassis height of the vehicle according to the height data of the obstacle may include:
if the height of the obstacle is higher than the chassis height of the vehicle, the second analysis result is that the obstacle can scratch the vehicle;
and if the height of the obstacle is lower than the chassis height of the vehicle, the second analysis result is that the obstacle cannot scratch the vehicle.
Specifically, in order to judge whether the barrier meets the bottom scratch risk condition, the following steps are adopted to realize:
Firstly, analyzing according to the acquired obstacle height data and combining the chassis height of the vehicle;
then, two analysis situations are obtained, namely, the barrier height is higher than the chassis height of the vehicle and the barrier height is lower than the chassis height of the vehicle;
finally, according to the two analysis conditions, a second analysis result is obtained, wherein the obstacle can scratch the vehicle and the obstacle cannot scratch the vehicle.
When the second analysis result shows that the obstacle cannot scratch the vehicle, the obstacle data is judged to not meet the bottom scratch risk condition, and at the moment, the obstacle is positioned on the running track of the vehicle, so that the running road is continuously monitored and analyzed until no obstacle information exists; when the obstacle can scratch the vehicle, a prompt is sent to the driver, and the scratch of the vehicle is avoided.
According to the scheme, particularly, if the height of the obstacle is higher than the chassis height of the vehicle, the second analysis result is that the obstacle can scratch the vehicle; and if the height of the obstacle is lower than the chassis height of the vehicle, the second analysis result is that the obstacle cannot scratch the vehicle. Therefore, the analysis of the bottom scratch risk condition of the obstacle data is completed, whether the driver is prompted is selected according to the obtained analysis result, the scratch of the vehicle is avoided, and the driving safety is improved.
Further, as another exemplary embodiment, the present embodiment may perform travel road monitoring by a monitoring apparatus, and the flow of the vehicle travel monitoring method is as shown in fig. 7:
firstly, a vehicle runs on a road, and when a bumpy road section is met, the vehicle senses bumpy fluctuation of the current road section;
then, monitoring equipment such as a camera and a radar are opened to collect the current road section conditions, and whether obstacles exist at present or not is collected;
then, if no obstacle is detected on the current road section, the current road section is continuously monitored, the road section jolt is not sensed from the vehicle, and the function can be turned off according to the requirement of a driver. When the obstacle is detected to exist on the driving road section, analyzing the acquired obstacle data through a specific algorithm;
then, judging whether the obstacle is on the running track of the vehicle or not according to the position information of the obstacle and the running track of the vehicle, continuously monitoring the road through monitoring equipment when the obstacle is not on the running track, and further analyzing the obstacle when the obstacle is on the advancing track;
then, through the high data of barrier, combine the chassis height of vehicle, judge whether the barrier can cause the scratch to the vehicle, when the barrier height is less than the vehicle chassis, judge that the barrier can not cause the scratch to the vehicle, then continue to collect the road surface situation through monitoring facilities, when the barrier height is higher than the vehicle chassis, judge that the barrier can cause the scratch to the vehicle.
And finally, according to the result calculated by the special algorithm, carrying out scratch reminding on the driver.
According to the scheme, the running road condition in front of the vehicle is monitored through the monitoring equipment arranged on the vehicle; judging whether the monitored running road condition in front of the vehicle meets a preset bottom scratch risk condition or not; and outputting prompt information when the condition of the running road in front of the vehicle is monitored to meet the preset bottom scratch risk condition. Therefore, recognition, data acquisition and scratch analysis of the obstacle are realized, the scratch of the obstacle to the vehicle is avoided, and the safety of driving the vehicle is improved.
In addition, an embodiment of the present invention further provides a vehicle running monitoring device, where the vehicle running monitoring device includes:
the monitoring module monitors the running road condition in front of the vehicle through monitoring equipment arranged on the vehicle;
the judging module is used for judging whether the monitored running road condition in front of the vehicle meets a preset bottom scratch risk condition or not;
and the prompt module is used for outputting prompt information when the condition of the running road in front of the vehicle is monitored to meet the preset bottom scratch risk condition.
In addition, the embodiment of the invention also provides vehicle-mounted equipment, which comprises a memory, a processor and a vehicle running monitoring program stored in the memory and capable of running on the processor, wherein the vehicle running monitoring program realizes the steps of the vehicle running monitoring method when being executed by the processor.
Because all the technical solutions of all the embodiments are adopted when the running monitoring program of the vehicle is executed by the processor, the running monitoring program of the vehicle has at least all the beneficial effects brought by all the technical solutions of all the embodiments, and the description is omitted herein.
In addition, the embodiment of the invention also provides a computer readable storage medium, wherein the computer readable storage medium stores a vehicle running monitoring program, and the vehicle running monitoring program realizes the steps of the vehicle running monitoring method when being executed by a processor.
Because all the technical solutions of all the embodiments are adopted when the running monitoring program of the vehicle is executed by the processor, the running monitoring program of the vehicle has at least all the beneficial effects brought by all the technical solutions of all the embodiments, and the description is omitted herein.
Compared with the prior art, the vehicle running monitoring method, the vehicle running monitoring device, the vehicle-mounted equipment and the storage medium provided by the embodiment of the invention monitor the running road condition in front of the vehicle through the monitoring equipment arranged on the vehicle; judging whether the monitored running road condition in front of the vehicle meets a preset bottom scratch risk condition or not; and outputting prompt information when the condition of the running road in front of the vehicle is monitored to meet the preset bottom scratch risk condition. Therefore, the problem that the motor vehicle is scratched by the vehicle bottom barrier of the driving vehicle is solved, the barrier prompt for the driver is realized, and the scratch between the motor vehicle and the barrier is avoided. Based on the scheme of the invention, starting from the problem that the vehicle bottom obstacle cannot be detected in real-world vehicle running safety monitoring, so that scratch is caused, the vehicle running monitoring method is designed, the effectiveness of the vehicle running monitoring method is verified on the condition of a monitored road when the vehicle runs, and finally the safety of vehicle running monitoring by the method is obviously improved.
Compared with the prior art, the embodiment of the invention has the following advantages:
1. The driver can clearly know the road conditions at the bottom and in front of the vehicle, so that the driver can drive more confidently, and the driving experience of the driver is improved.
2. If collision and scratch can be indicated in advance when the vehicle bottom is predicted on a severe road of a mountain road, the situation that a driver love a vehicle scratches can be avoided, and property is lost.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) as above, comprising several instructions for causing a vehicle-mounted device (which may be a mobile phone, a computer, a server, a controlled terminal, or a network device, etc.) to perform the method of each embodiment of the present invention.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (10)
1. A vehicle travel monitoring method, characterized by comprising the steps of:
monitoring a driving road condition in front of the vehicle by a monitoring device provided on the vehicle;
judging whether the monitored running road condition in front of the vehicle meets a preset bottom scratch risk condition or not;
and outputting prompt information when the condition of the running road in front of the vehicle is monitored to meet the preset bottom scratch risk condition.
2. The vehicle travel monitoring method according to claim 1, wherein the step of determining whether the monitored travel road condition in front of the vehicle satisfies a preset scratch risk condition includes:
acquiring flatness data and obstacle data of a driving road in front of a vehicle, wherein the flatness data and the obstacle data are monitored by the monitoring equipment;
and judging whether the running road condition meets a preset bottom scratch risk condition according to the flatness data and/or the obstacle data.
3. The vehicle travel monitoring method according to claim 2, wherein the step of judging whether the travel road condition satisfies a preset bottom scratch risk condition according to the flatness data includes:
according to the flatness data, analyzing through preset scratch risk conditions to obtain a first analysis result;
and if the first analysis result is that the running road is uneven, judging that the running road condition meets a preset bottom scratch risk condition.
4. The vehicle travel monitoring method according to claim 2, wherein the step of judging whether the travel road condition satisfies a preset bottom scratch risk condition according to the obstacle data includes:
according to the obstacle data, analyzing through the vehicle track and the chassis height of the vehicle to obtain a second analysis result;
if the second analysis result shows that the obstacle can scratch the vehicle, judging that the running road condition meets a preset bottom scratch risk condition.
5. The vehicle travel monitoring method according to claim 4, wherein the step of obtaining a second analysis result by analyzing a track and a chassis height of the vehicle based on the obstacle data includes:
Analyzing through the vehicle track according to the position data of the obstacle to obtain a third analysis result;
and if the third analysis result shows that the vehicle is at risk of scratch, analyzing through the chassis height of the vehicle according to the height data of the obstacle to obtain a second analysis result.
6. The vehicle travel monitoring method according to claim 5, wherein the step of analyzing by the locus of the vehicle based on the position data of the obstacle, obtaining a third analysis result includes:
if the position of the obstacle is located on the vehicle track of the vehicle, a third analysis result is that the vehicle is at risk of scratch;
if the position of the obstacle is not located on the vehicle track of the vehicle, a third analysis result shows that the vehicle is free of scratch risk.
7. The vehicle travel monitoring method according to claim 5, wherein if the third analysis result is that the vehicle has no risk of scratch, the step of obtaining a second analysis result by analyzing a chassis height of the vehicle according to the height data of the obstacle comprises:
If the height of the obstacle is higher than the chassis height of the vehicle, the second analysis result is that the obstacle can scratch the vehicle;
and if the height of the obstacle is lower than the chassis height of the vehicle, the second analysis result is that the obstacle cannot scratch the vehicle.
8. A vehicle travel monitoring device, characterized by comprising:
the monitoring module monitors the running road condition in front of the vehicle through monitoring equipment arranged on the vehicle;
the judging module is used for judging whether the monitored running road condition in front of the vehicle meets a preset bottom scratch risk condition or not;
and the prompt module is used for outputting prompt information when the condition of the running road in front of the vehicle is monitored to meet the preset bottom scratch risk condition.
9. An in-vehicle apparatus comprising a memory, a processor, and a vehicle travel monitor program stored on the memory and operable on the processor, the vehicle travel monitor program when executed by the processor implementing the steps of the vehicle travel monitor method according to any one of claims 1-7.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a vehicle travel monitoring program which, when executed by a processor, implements the steps of the vehicle travel monitoring method according to any one of claims 1-7.
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