CN114348010A - Parking scoring system and vehicle - Google Patents

Parking scoring system and vehicle Download PDF

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CN114348010A
CN114348010A CN202111538530.8A CN202111538530A CN114348010A CN 114348010 A CN114348010 A CN 114348010A CN 202111538530 A CN202111538530 A CN 202111538530A CN 114348010 A CN114348010 A CN 114348010A
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parking
score
vehicle
manual
controller
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丁磊
鱼潇
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Human Horizons Shanghai Autopilot Technology Co Ltd
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Human Horizons Shanghai Autopilot Technology Co Ltd
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Abstract

The invention provides a parking scoring system and a vehicle, which relate to the technical field of parking and comprise the following components: and the human-computer interaction terminal is connected with the parking controller and used for displaying a scoring request based on the parking completion state of the parking controller and feeding back a user score given by a user based on the scoring request to the parking controller. The method has the advantages of providing source data for analysis and application of parking behaviors of users and providing effective data support for perfection of an automatic parking system.

Description

Parking scoring system and vehicle
Technical Field
The invention relates to the technical field of parking, in particular to a parking scoring system and a vehicle.
Background
For many novices, the most difficult vehicle to drive is parked too much, and in order to solve the trouble, more and more vehicle models are equipped with automatic parking systems. The automatic parking system is a system for automatically parking in place without manual intervention as the name suggests, and can automatically park the automobile in a correct parking place. Although the automatic parking system provides great convenience for the car owner, the existing automatic parking system still has great improvement space, and the determination of the improvement direction of the automatic parking system needs a great amount of data support, for example, the improvement is performed based on the evaluation of the automatic parking behavior of the automatic parking system by the user, and the improvement is performed based on the parking habit of the car owner so as to provide personalized automatic parking service and the like.
In the prior art, generally, an automobile dealer collects the evaluation of a user on an automatic parking system and the parking habit of an automobile owner through a call-back mode or a questionnaire survey mode, but the quantity of collected data is limited, and the accuracy is not high. At present, a feedback mechanism aiming at each automatic parking behavior of a vehicle automatic parking system and an evaluation mechanism aiming at each manual parking behavior of a user are lacked in a vehicle, so that the perfection of the automatic parking system is lacked in effective data support.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a parking scoring system, which comprises:
the system comprises a human-computer interaction terminal, a parking controller and a control center, wherein the human-computer interaction terminal is connected with the parking controller and used for displaying a scoring request based on the parking completion state of the parking controller and feeding back a user score given by a user based on the scoring request to the parking controller;
preferably, the parking controller outputs the scoring request after the automatic parking of the vehicle is completed;
and the man-machine interaction terminal receives and displays the grading request.
Preferably, when a user manually parks the vehicle, the parking controller obtains a parking difficulty score, a parking completion position score and a parking fluency score within an effective parking period, and processes the parking difficulty score, the parking completion position score and the parking fluency score to obtain and output a manual parking score;
and the man-machine interaction terminal receives and displays the manual parking score after manual parking is finished.
Preferably, the effective parking period is a period between the starting time of manual parking and the ending time of manual parking;
the manual parking ending moment is the moment when the parking controller detects that the proportion of the overlapping area between the vehicle and the corresponding parking space in the total space area of the parking spaces is not less than a preset value, the gear of the vehicle is in a P gear, and the electronic parking braking system is triggered and activated;
the manual parking start time is a time when the overlap area is last detected to be switched from 0 to non-0 before the manual parking end time.
Preferably, the parking environment acquisition device is further included and is used for continuously acquiring parking environment data when a user manually parks the vehicle;
the parking controller is connected with the parking environment acquisition device, processes the parking environment data in the effective parking period to obtain parking environment parameters and parking space parameters, and performs weighted summation on the parking environment parameters and the parking space parameters according to preconfigured weight proportion to obtain the parking difficulty score.
Preferably, the parking system further comprises a parking position acquisition device, wherein the parking position acquisition device is used for acquiring parking position data when manual parking is completed;
the parking controller is connected with the parking position acquisition device, processes the parking position data to obtain a boundary distance between a vehicle and a corresponding parking space and a course angle of the vehicle, and processes according to the boundary distance and the course angle to obtain the parking completion position score.
Preferably, the parking controller counts the parking time corresponding to the effective parking time period and the gear switching times in the manual parking process, and processes the parking time period and the gear switching times to obtain the parking fluency score.
Preferably, the manual parking score is calculated by the following formula:
Smp=(Spp+Sps)/2*Spd
wherein S ismpFor representing said manual parking score, SppFor indicating said parking completion location score, SpsFor representing said parking fluency score, SpdFor indicating the parking difficulty score.
The application also provides a vehicle comprising the parking scoring system.
The technical scheme has the following advantages or beneficial effects: by collecting the automatic parking scores fed back by the user for each automatic parking behavior of the vehicle and scoring the manual parking behaviors of the user, source data are provided for analysis and application of the parking behaviors of the user, and effective data support is provided for perfection of an automatic parking system.
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FIG. 1 is a schematic diagram of a parking scoring system in accordance with a preferred embodiment of the present application;
fig. 2 is a flowchart illustrating a process of processing a manual parking score according to a preferred embodiment of the present application.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments. The present application is not limited to this embodiment, and other embodiments may be included in the scope of the present application as long as they meet the gist of the present application.
The system and the vehicle can collect the automatic parking score fed back by a user for each automatic parking behavior of the vehicle, score each manual parking behavior of the user, provide source data for analysis and application of the parking behavior of the user, and provide effective data support for perfection of the automatic parking system. Also, the scope of protection of the present application should not be limited by the examples used to illustrate the feasibility of the present application.
In an embodiment of the present invention, based on the above problems in the prior art, there is provided a parking scoring system, as shown in fig. 1, including:
and the human-computer interaction terminal 2 is connected with the parking controller 1 and used for displaying a scoring request based on the parking completion state of the parking controller 1 and feeding back a user score given by a user based on the scoring request to the parking controller 1.
In a preferred embodiment of the present invention, the parking controller 1 outputs a scoring request after the automatic parking of the vehicle is completed;
and the man-machine interaction terminal 2 receives and displays the grading request.
Specifically, in the present embodiment, a vehicle equipped with an automatic parking system usually starts an automatic parking function when the vehicle is continuously running at a low speed, the automatic parking function is used for searching for a parking space during the running of the vehicle, and when a user confirms that automatic parking is adopted, an automatic parking start instruction may be input through a central control large screen of the vehicle or a mobile terminal that is in communication connection with the vehicle, and the parking controller 1 starts automatic parking. Based on this, in this embodiment, after the vehicle starts the automatic parking function, the parking controller 1 may continuously monitor whether the automatic parking instruction is received to confirm whether the vehicle is automatically parked, if the automatic parking instruction is received, it indicates that the vehicle is automatically parked, and after the automatic parking is completed, a scoring request is sent to the human-computer interaction terminal 2 for display, and when the user checks the scoring request, the user may correspondingly give a score. The human-computer interaction terminal 2 can be a central control large screen of a vehicle or a mobile terminal which establishes communication connection with the vehicle.
As a preferred embodiment, a scoring template may be configured in advance, where the scoring template includes a plurality of scoring items, and a user may score each scoring item separately and finally obtain a total score by summarizing. After the user scoring is completed, the human-computer interaction terminal 2 can send the user scoring including the scoring of each scoring item and the total scoring to the parking controller 1 for storage, so that effective data support is provided for the improvement of a subsequent automatic parking system.
As another preferred embodiment, the parking controller 1 is further remotely connected to a cloud server, and the parking controller 1 may further send the user score to the cloud server for storage, so as to avoid excessively occupying the storage space of the parking controller 1.
In a preferred embodiment of the present invention, as shown in fig. 2, when a user manually parks a vehicle, a parking controller obtains a parking difficulty score, a parking completion position score, and a parking fluency score within an effective parking period, and processes the parking difficulty score, the parking completion position score, and the parking fluency score to obtain a manual parking score and outputs the manual parking score;
and the human-computer interaction terminal receives and displays the manual parking score after the manual parking is finished.
In this embodiment, when a user manually parks a vehicle, the user may find that the vehicle cannot be parked due to the fact that an obstacle exists in the first parking space or the vehicle is difficult to park in the first parking space in the process of trying to park the vehicle in the first parking space, and at this time, the user may replace the second parking space to manually park the vehicle. If the second parking space is successfully parked at the moment, the user has two manual parking behaviors in the scene, and the corresponding manual parking behavior does not have scoring significance because the first parking space is not successfully parked. Therefore, when a user manually parks the vehicle, an effective parking time period needs to be determined, and then a parking difficulty score, a parking completion position score and a parking fluency score of a manual parking behavior corresponding to the effective parking time period are obtained, and further the manual parking score is obtained according to the parking difficulty score, the parking completion position score and the parking fluency score. After the manual parking is finished, the manual parking score is sent to the human-computer interaction terminal 2 to be displayed, a user can visually see the score result of the manual parking behavior of the user on the human-computer interaction terminal 2, and interaction entertainment of the vehicle is improved.
In a preferred embodiment of the present invention, the effective parking period is a period between the start time of manual parking and the end time of manual parking;
the manual parking ending moment is the moment when the parking controller 1 detects that the proportion of the overlapping area between the vehicle and the corresponding parking space in the total space area of the parking spaces is not less than a preset value, the gear of the vehicle is in the P gear and the electronic parking brake system is triggered and activated;
the manual parking start time is a time when the overlap area is last detected to be switched from 0 to non-0 before the manual parking end time.
Specifically, since the start of the manual parking by the user cannot be detected based on the subjective intention of the user, but the manual parking end time may be detected based on the position of the vehicle and the state of the vehicle, in the present embodiment, the manual parking end time is determined, and the manual parking start time is obtained based on the manual parking end time advancing manner.
Further specifically, when the vehicle continuously runs at a low speed and starts the automatic parking function, the user may select automatic parking or manual parking, so that the user can accurately identify the start time and the end time of the manual parking when selecting the manual parking, at this time, the image acquisition may be continuously performed by a camera mounted on the vehicle, the parking controller 1 obtains and stores the change of the overlapping area between the vehicle and the corresponding parking space based on the acquired image processing, and when it is detected that the proportion of the overlapping area to the total area of the parking spaces is not less than a preset value, the gear of the vehicle is in the P gear and the electronic parking brake system triggers activation to indicate that the manual parking is ended. Still taking the example that the parking in the first parking space fails and the parking in the second parking space succeeds, the user may engage the P gear when the parking in the second parking space succeeds, and then trigger and activate the electronic parking brake system, if the time is 10 hours and 05 minutes, by searching and storing the change condition of the overlap area before the time to the time, two times of switching the overlap area from 0 to non-0 may occur, one is the time of starting parking in the first parking space, such as 10 hours and 00 minutes, and the other is the time of starting parking in the second parking space, such as 10 hours and 03 minutes, then the 10 hours and 03 minutes are taken as the start time of manual parking, and the effective parking time period is 10 hours and 03 minutes to 10 hours and 05 minutes.
In a preferred embodiment of the present invention, the parking environment acquisition device 3 is further included, and is configured to continuously acquire parking environment data when a user manually parks a vehicle;
the parking controller 1 is connected with the parking environment acquisition device 3, the parking controller 1 processes parking environment data in an effective parking period to obtain parking environment parameters and parking space parameters, and the parking environment parameters and the parking space parameters are weighted and summed according to pre-configured weight proportion to obtain a parking difficulty score.
Specifically, in this embodiment, the parking environment acquisition device 3 includes an environment acquisition sensor and an on-board camera, where the environment acquisition sensor includes, but is not limited to, a rainfall detection sensor, an illumination intensity detection sensor and a gradient detection sensor, and the parking environment data correspondingly includes rainfall, illumination intensity, road gradient, which are respectively acquired by the environment acquisition sensor, and parking space images acquired by the on-board camera.
Further, the parking lot image is processed by the parking lot controller to obtain the parking lot type, the parking lot boundary definition degree and the parking lot size of the parking lot, corresponding parking environment parameters are obtained by performing dimensionless processing on the rainfall, the illumination intensity and the road surface gradient based on the table, corresponding parking lot parameters are obtained by performing dimensionless processing on the parking lot type, the parking lot boundary definition degree and the parking lot size, and then the parking environment parameters and the parking lot parameters are weighted and summed according to the weight in the table I to obtain the parking difficulty score.
Table one:
Figure BDA0003413636430000091
the parking environment parameters obtained by non-dimensionalization processing are rainfall 0, illumination intensity 0.1 and road surface gradient 0, and the parking space parameters are parking space type 0.1, parking space boundary definition 0.1 and parking space size 0.1 respectively, so that the calculation formula of parking difficulty score is as follows:
0*0.1+0.1*0.1+0*0.1+0.1*0.2+0.1*0.1+0.1*0.4=0.08。
in a preferred embodiment of the present invention, the parking position acquisition device 4 is further included, and is configured to acquire parking position data when manual parking is completed;
the parking controller 1 is connected with the parking position acquisition device 4, the parking controller 1 processes the parking position data to obtain the boundary distance between the vehicle and the corresponding parking stall and the heading angle of the vehicle, and the parking completion position score is obtained by processing according to the boundary distance and the heading angle.
Specifically, in this embodiment, the parking position acquisition device 4 may be an on-board camera, and the parking position data is a parking completion position image acquired by the on-board camera.
Further, the parking controller processes the parking completion position image to obtain a boundary distance between the vehicle and the corresponding parking space and a heading angle of the vehicle, wherein the boundary distance comprises a front boundary distance and a rear boundary distance between the vehicle and the parking space and a left boundary distance and a right boundary distance between the vehicle and the parking space.
As a preferred embodiment, the first boundary threshold range, the second boundary threshold range, and the angle threshold range may be previously configured, while three evaluation conditions are previously configured:
the first condition is as follows: the front-to-back boundary distance is within a first boundary threshold range;
and a second condition: the left and right boundary distance is within a second boundary threshold range;
and (3) carrying out a third condition: the heading angle is within an angular threshold range.
Further, the parking controller may process the parking completion position score according to the processed boundary distance, the processed course angle and the three evaluation conditions based on the second table.
Table two:
Figure BDA0003413636430000101
and when the parking completion position image processed by the parking controller is in the parking space and only the condition three is met, the parking completion position score is 0.6.
In a preferred embodiment of the present invention, the parking controller 1 counts the parking time of the effective parking period and the number of gear switching times in the manual parking process, and processes the parking time and the number of gear switching times to obtain the parking fluency score.
Specifically, in this embodiment, the parking controller may obtain the parking fluency score based on the table three processing.
Table three:
parking duration P1 Less than 1min, taking the value of 100; the value is reduced by 10 to 0 after every 1min
Number of shift position switching times P2 The value is 100 when the number is not more than 3; reducing the value by 10 to 0 every more than 1 time
Taking the example that the number of gear switching times is 3, and the effective parking time period is from 10 hours 03 minutes to 10 hours 05, the parking time is 2min, the corresponding value of P1 is 90, and the value of P2 is 100. The parking controller further calculates and obtains a parking fluency score according to the following formula:
the parking fluency score is (P1+ P2)/2 is (90+100)/2 is 95.
In a preferred embodiment of the present invention, the manual parking score is calculated using the following formula:
Smp=(Spp+Sps)/2*Spd
wherein S ismpFor indicating a manual parking score, SppFor indicating a parking completion location score, SpsFor indicating parking fluency score, SpdFor indicating a parking difficulty score.
Specifically, in the present embodiment, based on the processing result, if the parking difficulty score is 0.08, the parking completion position score is 0.6, and the parking fluency score is 95, then
Manual parking score (0.6+95)/2 × 0.08-3.824.
The application also provides a vehicle comprising the parking scoring system.
While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention.

Claims (9)

1. A parking scoring system, comprising:
and the human-computer interaction terminal is connected with the parking controller and used for displaying a scoring request based on the parking completion state of the parking controller and feeding back a user score given by a user based on the scoring request to the parking controller.
2. The parking scoring system of claim 1, wherein the parking controller outputs the scoring request after automatic parking of the vehicle is completed;
and the man-machine interaction terminal receives and displays the grading request.
3. The parking scoring system according to claim 1, wherein the parking controller obtains a parking difficulty score, a parking completion position score and a parking fluency score within an effective parking period when a user manually parks the vehicle, and obtains and outputs a manual parking score according to the parking difficulty score, the parking completion position score and the parking fluency score;
and the man-machine interaction terminal receives and displays the manual parking score after manual parking is finished.
4. The vehicle parking scoring system of claim 3, wherein the effective parking period is a period between a start time of manual parking and an end time of manual parking;
the manual parking ending moment is the moment when the parking controller detects that the proportion of the overlapping area between the vehicle and the corresponding parking space in the total space area of the parking spaces is not less than a preset value, the gear of the vehicle is in a P gear, and the electronic parking braking system is triggered and activated;
the manual parking start time is a time when the overlap area is last detected to be switched from 0 to non-0 before the manual parking end time.
5. The vehicle parking scoring system of claim 3, further comprising a parking environment acquisition device for continuously acquiring parking environment data while a user manually parks the vehicle;
the parking controller is connected with the parking environment acquisition device, processes the parking environment data in the effective parking period to obtain parking environment parameters and parking space parameters, and performs weighted summation on the parking environment parameters and the parking space parameters according to preconfigured weight proportion to obtain the parking difficulty score.
6. The vehicle parking scoring system of claim 3 further comprising a parking location acquisition device for acquiring parking location data upon completion of manual parking;
the parking controller is connected with the parking position acquisition device, processes the parking position data to obtain a boundary distance between a vehicle and a corresponding parking space and a course angle of the vehicle, and processes according to the boundary distance and the course angle to obtain the parking completion position score.
7. The parking scoring system according to claim 3, wherein the parking controller counts a parking time corresponding to the effective parking time period and a gear switching number in a manual parking process, and processes the parking time period and the gear switching number to obtain the parking fluency score.
8. The vehicle parking scoring system of claim 3 wherein the manual parking score is calculated using the formula:
Smp=(Spp+Sps)/2*Spd
wherein S ismpFor representing said manual parking score, SppFor indicating said parking completion location score, SpsFor representing said parking fluency score, SpdFor indicating the parking difficulty score.
9. A vehicle comprising a parking scoring system as claimed in any one of claims 1 to 8.
CN202111538530.8A 2021-12-15 2021-12-15 Parking scoring system and vehicle Pending CN114348010A (en)

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Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007216809A (en) * 2006-02-15 2007-08-30 Denso Corp Driving evaluation device
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CN108463845A (en) * 2016-12-08 2018-08-28 奥迪股份公司 For providing and the method for the relevant result data of automotive environment
CN108944944A (en) * 2018-07-09 2018-12-07 深圳市易成自动驾驶技术有限公司 Automatic Pilot model training method, terminal and readable storage medium storing program for executing
CN110139790A (en) * 2016-10-04 2019-08-16 日产自动车株式会社 Control method for stopping and shutoff control unit
CN113252366A (en) * 2021-06-23 2021-08-13 奇瑞新能源汽车股份有限公司 Automatic parking evaluation method and device for vehicle, vehicle and storage medium
CN113479195A (en) * 2021-08-11 2021-10-08 戴姆勒股份公司 Method for automatic valet parking and system for carrying out said method

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007216809A (en) * 2006-02-15 2007-08-30 Denso Corp Driving evaluation device
CN104260722A (en) * 2014-09-23 2015-01-07 北京理工大学 Automatic parking system
CN110139790A (en) * 2016-10-04 2019-08-16 日产自动车株式会社 Control method for stopping and shutoff control unit
CN108463845A (en) * 2016-12-08 2018-08-28 奥迪股份公司 For providing and the method for the relevant result data of automotive environment
CN108944944A (en) * 2018-07-09 2018-12-07 深圳市易成自动驾驶技术有限公司 Automatic Pilot model training method, terminal and readable storage medium storing program for executing
CN113252366A (en) * 2021-06-23 2021-08-13 奇瑞新能源汽车股份有限公司 Automatic parking evaluation method and device for vehicle, vehicle and storage medium
CN113479195A (en) * 2021-08-11 2021-10-08 戴姆勒股份公司 Method for automatic valet parking and system for carrying out said method

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