CN108407803A - A kind of automatic parking control algolithm based on driving experience - Google Patents
A kind of automatic parking control algolithm based on driving experience Download PDFInfo
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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
- B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
- B60W30/06—Automatic manoeuvring for parking
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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
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- B60W10/20—Conjoint control of vehicle sub-units of different type or different function including control of steering systems
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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
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- 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
- B60W40/12—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 parameters of the vehicle itself, e.g. tyre models
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- B60W2555/00—Input parameters relating to exterior conditions, not covered by groups B60W2552/00, B60W2554/00
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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
- B60W2710/00—Output or target parameters relating to a particular sub-units
- B60W2710/20—Steering systems
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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
- B60W2720/00—Output or target parameters relating to overall vehicle dynamics
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Abstract
本发明公开了一种基于驾驶经验的自动泊车控制算法,该方法借鉴熟练驾驶员的泊车经验,将泊车过程分为6步:第1步将汽车行驶至泊车纵向起始位置,即S0段;第2步控制泊车车速并将方向盘快速打死,即S1段;第3步在方向盘打死后,将车速提升至最大泊车车速,即S2段;第4步在汽车方向角到达一定角度θ时,将汽车车速降低至最小稳定车速,并将方向盘快速反方向打死,即S3段;第5步在方向盘反方向打死后,将车速提升至最大泊车车速,即S4段;第6步将方向盘迅速回正,即S5段。本发明的一种基于驾驶经验的自动泊车控制算法纯几何运算、计算量小,对硬件设备要求低,过程简单易行,实用性强,便于商业化。
The invention discloses an automatic parking control algorithm based on driving experience. The method refers to the parking experience of skilled drivers and divides the parking process into six steps: the first step is to drive the car to the longitudinal starting position of parking, That is, the S 0 section; the second step is to control the parking speed and quickly kill the steering wheel, that is, the S 1 section; the third step is to increase the vehicle speed to the maximum parking speed after the steering wheel is killed, that is, the S 2 section; the fourth step When the direction angle of the car reaches a certain angle θ, reduce the speed of the car to the minimum stable speed, and quickly kill the steering wheel in the opposite direction, that is, S 3 segment; step 5, after the steering wheel is turned to death in the opposite direction, increase the speed of the car to the maximum parking Car speed, that is, S 4 segment; Step 6 quickly return the steering wheel, that is, S 5 segment. The automatic parking control algorithm based on driving experience of the present invention has pure geometrical calculation, small amount of calculation, low requirements on hardware equipment, simple and easy process, strong practicability, and is convenient for commercialization.
Description
技术领域technical field
本发明涉及汽车智能控制技术领域,具体涉及一种基于驾驶经验的自动泊车控制算法。The invention relates to the technical field of automobile intelligent control, in particular to an automatic parking control algorithm based on driving experience.
背景技术Background technique
近年来,随着经济的高速发展和人们生活水平的不断提高,汽车已经成为人们生活中的重要组成部分和主要的交通工具。然而,随着汽车保有量的增加,停车空间越来越小,对驾驶员的操作要求也越来越高,对于经验不足的驾驶员来说,很难轻松地将汽车泊入拥挤的停车位中。In recent years, with the rapid development of the economy and the continuous improvement of people's living standards, cars have become an important part of people's lives and the main means of transportation. However, with the increase of car ownership, the parking space is getting smaller and smaller, and the driver's operating requirements are getting higher and higher. For inexperienced drivers, it is difficult to easily park the car into a crowded parking space. middle.
目前,在自动泊车技术领域,自动泊车控制方法主要有两种:(1)路径规划和路径跟踪:首先借助传感器获取泊车可行驶区域,并结合车辆的几何参数,预先规划出一条理想的泊车轨迹,然后设计各种控制器跟踪该泊车轨迹;(2)基于经验知识算法:分析驾驶员在泊车时用到的经验知识,采用模糊控制、神经网络等先进控制算法,进行模拟建模以实现自动泊车。但是,这些算法计算复杂、计算量大、对系统的实时性要求高,这将增加算法实现成本,不利于实际应用。例如,路径规划和路径跟踪算法,在路径跟踪过程中,为提高跟踪精度需要系统实时反馈,计算量、实时性要求高;基于经验知识的算法需要采用先进控制算法实现,实现复杂、不利于实际应用。At present, in the field of automatic parking technology, there are two main methods of automatic parking control: (1) path planning and path tracking: firstly, the parking drivable area is obtained by means of sensors, and an ideal road is planned in advance in combination with the geometric parameters of the vehicle. Then design various controllers to track the parking trajectory; (2) Algorithm based on empirical knowledge: analyze the empirical knowledge used by the driver when parking, and use advanced control algorithms such as fuzzy control and neural network to carry out Simulation modeling for automated parking. However, these algorithms are computationally complex, require a large amount of calculation, and require high real-time performance of the system, which will increase the cost of algorithm implementation and is not conducive to practical applications. For example, path planning and path tracking algorithms, in the path tracking process, in order to improve the tracking accuracy, real-time feedback from the system is required, and the calculation amount and real-time requirements are high; the algorithm based on empirical knowledge needs to be realized by advanced control algorithm, which is complex and unfavorable to practice. application.
因此,为解决上述问题,需要提出一种计算量小、实时性好、成本低,利用实际应用的自动泊车控制算法。Therefore, in order to solve the above problems, it is necessary to propose an automatic parking control algorithm with a small amount of calculation, good real-time performance, low cost, and practical application.
发明内容Contents of the invention
本发明的目的是为了解决现有技术中的上述缺陷,提供一种基于驾驶经验的自动泊车控制算法,该算法计算量小、实时性好,实现成本低、便于实际应用。The object of the present invention is to solve the above-mentioned defects in the prior art, and provide an automatic parking control algorithm based on driving experience, which has a small amount of calculation, good real-time performance, low implementation cost, and is convenient for practical application.
本发明的目的可以通过采取如下技术方案达到:The purpose of the present invention can be achieved by taking the following technical solutions:
一种基于驾驶经验的自动泊车控制算法,所述的自动泊车控制算法包括下列步骤:A kind of automatic parking control algorithm based on driving experience, described automatic parking control algorithm comprises the following steps:
S1、根据泊车位参数、泊车空间和汽车参数判断车位和泊车空间是否过小,如果过小则不再进行自动泊车,否则,转入下一步骤,其中泊车空间距离的判断根据下式得到:S1. Judging whether the parking space and parking space are too small according to the parking space parameters, parking space and car parameters. formula to get:
式中,LP和WP分别为车位长和宽,LPmin和WPmin分别为最小车位长和宽,H为道路宽度,Hmin为最小泊车空间宽度,Rvmin为汽车最小转弯半径,Rmin为汽车后轴中点的最小转弯半径,Lv和Wv分别为汽车的长和宽,L为汽车的轴距,Lf和Lr分别为汽车的前悬长和后悬长,Df、Dr、Di、Do、Drb、DEB为保证泊车安全设定的安全距离,D2为泊车横向起始位置,也即车辆靠近车位一侧与车位的距离;In the formula, L P and W P are the length and width of the parking space, respectively, L Pmin and W Pmin are the length and width of the minimum parking space, H is the width of the road, H min is the width of the minimum parking space, R vmin is the minimum turning radius of the car, R min is the minimum turning radius at the midpoint of the rear axle of the car, L v and W v are the length and width of the car respectively, L is the wheelbase of the car, L f and L r are the front overhang length and rear overhang length of the car respectively, D f , D r , D i , D o , D rb , and D EB are the safety distances set to ensure parking safety, and D 2 is the lateral starting position of parking, that is, the distance between the side of the vehicle close to the parking space and the parking space;
S2、计算汽车方向盘需要反向打死时的汽车方向角θ,以及泊车纵向起始位置D1,其中,汽车方向角θ根据下式计算:S2. Calculate the vehicle direction angle θ when the steering wheel of the vehicle needs to be reversed, and the parking longitudinal starting position D 1 , wherein the vehicle direction angle θ is calculated according to the following formula:
K3=y1+Rmincos(ψT)+S1ψS-WP-Wv/2-D2,ψT=vK1/(ωL),K1=-log(cos(δfmax)),K 3 =y 1 +R min cos(ψ T )+S 1 ψ S -W P -W v /2-D 2 , ψ T =vK 1 /(ωL), K 1 =-log(cos(δ fmax )),
δfmax=arctan(L/Rvmin),ψS=vK2/(Lδfmax),S1=vt1;δ fmax = arctan(L/R vmin ), ψ S = vK 2 /(Lδ fmax ), S 1 = vt 1 ;
式中,S1为汽车方向盘转向过程中汽车行驶的距离,v是车速,δfmax为等效前轮最大转向角,WP为车位宽,其中,泊车纵向起始位置D1由下式计算得到:In the formula, S 1 is the distance traveled by the car during steering wheel steering, v is the vehicle speed, δ fmax is the maximum steering angle of the equivalent front wheels, W P is the width of the parking space, and the longitudinal starting position D 1 of parking is given by the following formula Calculated to get:
x1=Dr+Lr,y1=Rmin-Wv/2-Do+WP; x 1 =D r +L r , y 1 =R min -W v /2-D o +W P ;
S3、将汽车行驶至泊车纵向起始位置D1;S3, drive the car to the parking longitudinal starting position D1 ;
S4、在到达泊车纵向起始位置D1位置后,以汽车最低稳定车速vmin进行泊车,同时以方向盘最大稳定转速ωsteering进行快速转向;S4. After reaching the parking longitudinal starting position D1 , park the vehicle at the minimum stable speed vmin , and simultaneously perform rapid steering at the maximum stable speed of the steering wheel ω steering ;
S5、当方向盘打死后,将车速提至最大泊车车速vmax,继续泊车;S5. When the steering wheel is driven to death, increase the vehicle speed to the maximum parking speed v max and continue parking;
S6、当汽车的方向角达到θ时,方向盘以最大稳定转速ωsteering进行反方向转向,同时将车速降至vmin;S6. When the steering angle of the car reaches θ, the steering wheel turns in the opposite direction at the maximum stable speed ω steering , and at the same time reduces the speed of the car to v min ;
S7、当方向盘再次打死后,将车速提至最大泊车车速vmax;S7. When the steering wheel is driven to death again, the vehicle speed is raised to the maximum parking speed v max ;
S8、待汽车的方向角回正后,即汽车车身与车位平行,将车速迅速降至0,并停车;S8. After the direction angle of the car returns to positive, that is, the car body is parallel to the parking space, the speed of the car is quickly reduced to 0, and the car is stopped;
S9、汽车以vmin的速度前向行驶,并将方向盘迅速回正,回正后再将车倒至停车位置,至此泊车步骤完成。S9. The car is moving forward at the speed of v min , and the steering wheel is quickly returned to the center position, and then the car is reversed to the parking position after returning to the center position, and the parking step is completed.
进一步地,所述的泊车横向起始位置D2的取值范围为0.4-1.0m。Further, the value range of the parking transverse starting position D 2 is 0.4-1.0m.
本发明相对于现有技术具有如下的优点及效果:Compared with the prior art, the present invention has the following advantages and effects:
本发明提出的自动泊车控制算法采用几何直接推导获得,参数简单、物理含义清晰;自动泊车控制算法中的计算是在泊车开始前计算完成,泊车过程无需反馈,计算量小、实时性好,实现成本低、便于实际应用。The automatic parking control algorithm proposed by the present invention is obtained by geometric direct derivation, with simple parameters and clear physical meaning; the calculation in the automatic parking control algorithm is completed before the parking starts, and the parking process does not need feedback, and the calculation amount is small and real-time Good performance, low implementation cost, and convenient for practical application.
附图说明Description of drawings
图1是自动平行泊车入位示意图;Figure 1 is a schematic diagram of automatic parallel parking;
图中:S0段为车辆行驶至泊车纵向起始位置的过程;S1段为控制车速并将方向盘快速打死的过程;S2段为将方向盘打死后,提升车速至最大泊车车速vmax的过程;S3段为汽车方向角达到θ时,方向盘以最大稳定转速ωsteering进行反方向转向的过程;S4段为方向盘反方向打死后,再次将车速提至最大泊车车速vmax的过程;S5段为方向盘迅速回正过程;In the figure: Section S 0 is the process of driving the vehicle to the longitudinal starting position of parking; Section S 1 is the process of controlling the speed of the vehicle and quickly driving the steering wheel to death; Section S 2 is the process of raising the vehicle speed to the maximum parking position after driving the steering wheel to death The process of the vehicle speed v max ; the S 3 segment is the process in which the steering wheel turns in the opposite direction at the maximum stable speed ω steering when the steering angle of the car reaches θ; the S 4 segment is the process of raising the vehicle speed to the maximum parking again after the steering wheel is driven in the opposite direction The process of the vehicle speed v max ; the S 5th stage is the process of the steering wheel returning to the center quickly;
图2是泊车过程中的安全间隙示意图;Fig. 2 is a schematic diagram of a safety gap during parking;
图3是本发明控制汽车泊车入位过程的效果图;Fig. 3 is the effect drawing of the present invention's control car parking process;
图4是本发明在控制汽车泊车入位过程中速度和前轮转向角的变化过程;Fig. 4 is the change process of the speed and the front wheel steering angle in the process of controlling the parking of the car in the present invention;
图中:v为车速,δf为等效前轮转向角,与方向盘转向角θsteering的关系有,θsteering=i×δf,i为方向盘传动比。In the figure: v is the vehicle speed, δ f is the equivalent front wheel steering angle, the relationship with the steering wheel steering angle θ steering is, θ steering =i×δ f , and i is the steering wheel transmission ratio.
具体实施方式Detailed ways
为使本发明实施例的目的、技术方案和优点更加清楚,下面将结合本发明实施例中的附图,对本发明实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例是本发明一部分实施例,而不是全部的实施例。基于本发明中的实施例,本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例,都属于本发明保护的范围。In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
实施例Example
请参阅图1和图2所示,本实施例具体公开了一种基于驾驶经验的自动泊车控制算法,具体实施步骤如下:Please refer to Fig. 1 and Fig. 2, the present embodiment specifically discloses a kind of automatic parking control algorithm based on driving experience, and the specific implementation steps are as follows:
步骤S1、根据泊车位参数、泊车空间和汽车参数判断车位和泊车空间是否过小,如果过小则不再进行自动泊车,否则,转入下一步骤,判断公式可根据下式得到:Step S1, judge whether the parking space and parking space are too small according to the parking space parameters, parking space and car parameters, if they are too small, no longer perform automatic parking, otherwise, go to the next step, and the judgment formula can be obtained according to the following formula:
式中,LP和WP分别为车位长和宽,LPmin和WPmin分别为最小车位长和宽,H为道路宽度,Hmin为最小泊车空间宽度,Rvmin为汽车最小转弯半径,Rmin为汽车后轴中点的最小转弯半径,Lv和Wv分别为汽车的长和宽,L为汽车的轴距,Lf和Lr分别为汽车的前悬长和后悬长,Df、Dr、Di、Do、Drb、DEB为保证泊车安全设定的安全距离,D2为泊车横向起始位置,也即车辆靠近车位一侧与车位的距离,其取值优选为0.4-1.0m。In the formula, L P and W P are the length and width of the parking space, respectively, L Pmin and W Pmin are the length and width of the minimum parking space, H is the width of the road, H min is the width of the minimum parking space, R vmin is the minimum turning radius of the car, R min is the minimum turning radius at the midpoint of the rear axle of the car, L v and W v are the length and width of the car respectively, L is the wheelbase of the car, L f and L r are the front overhang length and rear overhang length of the car respectively, D f , D r , D i , Do, D rb , and D EB are the safety distances set to ensure parking safety, and D 2 is the lateral starting position of parking, that is, the distance between the side of the vehicle close to the parking space and the parking space. The value is preferably 0.4-1.0m.
步骤S2、计算汽车方向盘需要反向打死时的汽车方向角θ,以及泊车纵向起始位置D1,汽车方向角θ根据下式计算:Step S2, calculate the vehicle direction angle θ when the steering wheel of the vehicle needs to be reversed, and the parking longitudinal starting position D 1 , the vehicle direction angle θ is calculated according to the following formula:
K3=y1+Rmincos(ψT)+S1ψS-WP-Wv/2-D2,ψT=vK1/(ωL),K1=-log(cos(δfmax)),K 3 =y 1 +R min cos(ψ T )+S 1 ψ S -W P -W v /2-D 2 , ψ T =vK 1 /(ωL), K 1 =-log(cos(δ fmax )),
δfmax=arctan(L/Rvmin),ψS=vK2/(Lδfmax), δ fmax = arctan(L/R vmin ), ψ S = vK 2 /(Lδ fmax ),
式中,S1为汽车方向盘转向过程中汽车行驶的距离;v是车速;δfmax为等效前轮最大转向角;WP为车位宽;In the formula, S1 is the distance traveled by the car during steering wheel steering; v is the vehicle speed; δ fmax is the equivalent front wheel maximum steering angle; W P is the parking space width;
泊车纵向起始位置D1,可由下式计算得到:The parking longitudinal starting position D 1 can be calculated by the following formula:
x1=Dr+Lr,y1=Rmin-Wv/2-Do+WP x 1 =D r +L r , y 1 =R min -W v /2-D o +W P
步骤S3、将汽车行驶至泊车纵向起始位置D1;Step S3, drive the car to the parking longitudinal starting position D1 ;
步骤S4、在到达泊车纵向起始位置D1后,以汽车最低稳定车速vmin进行泊车,同时以方向盘最大稳定转速ωsteering进行快速转向;Step S4, after reaching the parking longitudinal starting position D1 , park the vehicle at the minimum stable speed vmin , and at the same time perform rapid steering at the maximum stable speed of the steering wheel ωsteering ;
步骤S5、当方向盘打死后,将车速提至最大泊车车速vmax,继续泊车;Step S5, when the steering wheel is driven to death, increase the vehicle speed to the maximum parking speed v max , and continue parking;
步骤S6、当汽车的方向角达到θ时,方向盘以最大稳定转速ωsteering进行反方向转向,同时将车速降至vmin;Step S6, when the steering angle of the car reaches θ, the steering wheel turns in the opposite direction at the maximum stable speed ω steering , and at the same time reduces the speed of the car to v min ;
步骤S7、当方向盘再次打死后,将车速提至最大泊车车速vmax;Step S7, when the steering wheel is driven to death again, increase the vehicle speed to the maximum parking speed v max ;
步骤S8、待汽车的方向角回正后,即汽车车身与车位平行,将车速迅速降至0,并停车;Step S8, after the direction angle of the car is back to normal, that is, the car body is parallel to the parking space, the speed of the car is quickly reduced to 0, and the car is stopped;
步骤S9、汽车以vmin的速度前向行驶,并将方向盘迅速回正,回正后再将车倒至停车位置,至此泊车步骤完成。Step S9 , the car is moving forward at a speed of v min , and the steering wheel is quickly returned to the center position, and then the car is reversed to the parking position after returning to the center position, and the parking step is completed.
整个泊车过程分6段进行,其中,第1段为S0段,为车辆行驶至泊车纵向起始位置的过程;第2段位S1段,为控制车速并将方向盘快速打死的过程;第3段为S2段,为将方向盘打死后,提升车速至最大泊车车速vmax的过程;第4段为S3段,为汽车方向角达到θ时,方向盘以最大稳定转速ωsteering进行反方向转向的过程;第5段为S4段,为方向盘反方向打死后,再次将车速提至最大泊车车速vmax的过程;第6段为S5段,为方向盘迅速回正过程。The whole parking process is divided into 6 sections, among which, the first section is S 0 section, which is the process of driving the vehicle to the longitudinal starting position of parking; the second section is S 1 section, which is the process of controlling the speed of the vehicle and quickly driving the steering wheel to death ; The third section is S2 section, which is the process of raising the vehicle speed to the maximum parking speed v max after the steering wheel is killed; the fourth section is S3 section, which is the maximum stable speed of the steering wheel ω when the steering angle of the car reaches θ Steering is the process of turning in the opposite direction; the 5th segment is S 4 segment, which is the process of raising the vehicle speed to the maximum parking speed v max again after the steering wheel is turned to death in the opposite direction; the 6th segment is S 5 segment, which is the process of quickly returning the steering wheel positive process.
为了验证本发明的效果,采用本发明的自动泊车算法进行泊车仿真试验。仿真采用的汽车参数为:Lv=4.155m,Wv=1.645m,L=2.405m,Lf=0.8m,Lr=0.95m,Rvmin=4.75m;安全距离Df、Dr、Di、Do、Drb、DEB设为0.2m,将Dr设为0.4m;泊车纵向起始位置D2设为0.5m;最低稳定车速vmin为2km/h;最高泊车车速vmax为5km/h;车位尺寸LP×WP为7m×2m;道路宽度H为4m。验证对比结果如图3和图4所示。由图3可以看出本发明算法能够使车辆精确、无碰撞地泊在设计的泊车终点区域内,并且能够获得比较理想的泊车效果。由图4可以看出,泊车过程中的车速变化与预期一致,同时,泊车时间较短。由此表明本发明方法,既满足了泊车精度要求又能满足的泊车时间要求,泊车方法简单易行,达到了本发明期望达到的目的。In order to verify the effect of the present invention, the automatic parking algorithm of the present invention is used to carry out a parking simulation test. The vehicle parameters used in the simulation are: L v = 4.155m, W v = 1.645m, L = 2.405m, L f = 0.8m, L r = 0.95m, R vmin = 4.75m; safety distances D f , D r , D i , Do, D rb , D EB are set to 0.2m, and D r is set to 0.4m; the parking longitudinal starting position D 2 is set to 0.5m; the minimum stable speed v min is 2km/h; the maximum parking speed v max is 5km/h; parking space size L P ×W P is 7m×2m; road width H is 4m. The verification comparison results are shown in Figure 3 and Figure 4. It can be seen from Fig. 3 that the algorithm of the present invention can park the vehicle accurately and without collision in the designed parking end area, and can obtain a relatively ideal parking effect. It can be seen from Figure 4 that the vehicle speed changes during parking are consistent with expectations, and at the same time, the parking time is short. This shows that the method of the present invention not only satisfies the parking precision requirement but also satisfies the parking time requirement, the parking method is simple and easy, and the desired purpose of the present invention is achieved.
上述实施例为本发明较佳的实施方式,但本发明的实施方式并不受上述实施例的限制,其他的任何未背离本发明的精神实质与原理下所作的改变、修饰、替代、组合、简化,均应为等效的置换方式,都包含在本发明的保护范围之内。The above-mentioned embodiment is a preferred embodiment of the present invention, but the embodiment of the present invention is not limited by the above-mentioned embodiment, and any other changes, modifications, substitutions, combinations, Simplifications should be equivalent replacement methods, and all are included in the protection scope of the present invention.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109866761A (en) * | 2019-03-05 | 2019-06-11 | 重庆长安汽车股份有限公司 | Automatic parking paths planning method, system and computer readable storage medium |
CN111762153A (en) * | 2020-06-02 | 2020-10-13 | 武汉理工大学 | Automatic parking method of car based on 5G communication mode |
CN114475782A (en) * | 2022-02-28 | 2022-05-13 | 东风汽车集团股份有限公司 | Automatic parking control optimization method and system |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20120089294A1 (en) * | 2010-10-06 | 2012-04-12 | Meike Fehse | Device and method for supporting a driver of a motor vehicle during a driving maneuver |
CN102658819A (en) * | 2012-05-16 | 2012-09-12 | 涂亚庆 | Automobile automatic parking method based on humanoid intelligent control |
CN102874252A (en) * | 2012-08-30 | 2013-01-16 | 江苏大学 | Method and system for assisting in parking track planning and correcting |
CN103158701A (en) * | 2011-12-09 | 2013-06-19 | 现代自动车株式会社 | System and method of deriving parking trajectory for vehicle |
CN105197010A (en) * | 2014-06-04 | 2015-12-30 | 长春孔辉汽车科技股份有限公司 | Auxiliary parking system and auxiliary parking control method |
-
2018
- 2018-02-05 CN CN201810109501.1A patent/CN108407803B/en not_active Expired - Fee Related
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20120089294A1 (en) * | 2010-10-06 | 2012-04-12 | Meike Fehse | Device and method for supporting a driver of a motor vehicle during a driving maneuver |
CN103158701A (en) * | 2011-12-09 | 2013-06-19 | 现代自动车株式会社 | System and method of deriving parking trajectory for vehicle |
CN102658819A (en) * | 2012-05-16 | 2012-09-12 | 涂亚庆 | Automobile automatic parking method based on humanoid intelligent control |
CN102874252A (en) * | 2012-08-30 | 2013-01-16 | 江苏大学 | Method and system for assisting in parking track planning and correcting |
CN105197010A (en) * | 2014-06-04 | 2015-12-30 | 长春孔辉汽车科技股份有限公司 | Auxiliary parking system and auxiliary parking control method |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109866761A (en) * | 2019-03-05 | 2019-06-11 | 重庆长安汽车股份有限公司 | Automatic parking paths planning method, system and computer readable storage medium |
CN109866761B (en) * | 2019-03-05 | 2020-07-10 | 重庆长安汽车股份有限公司 | Automatic parking path planning method, system and computer readable storage medium |
CN111762153A (en) * | 2020-06-02 | 2020-10-13 | 武汉理工大学 | Automatic parking method of car based on 5G communication mode |
CN114475782A (en) * | 2022-02-28 | 2022-05-13 | 东风汽车集团股份有限公司 | Automatic parking control optimization method and system |
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