TW202028903A - System and method for allowing autonomous vehicle to specify a parking space - Google Patents

System and method for allowing autonomous vehicle to specify a parking space Download PDF

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TW202028903A
TW202028903A TW108102791A TW108102791A TW202028903A TW 202028903 A TW202028903 A TW 202028903A TW 108102791 A TW108102791 A TW 108102791A TW 108102791 A TW108102791 A TW 108102791A TW 202028903 A TW202028903 A TW 202028903A
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parking
unit
driving
parking space
servo
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施凱文
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易停網股份有限公司
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Abstract

A system for allowing autonomous vehicles to specify a parking space, which is a system for combining an automatic driving vehicle with a parking path of a specific parking position on a road driving path, including: a decision servo, an automatic driving cloud servo, and a wireless network Linking; an autonomous vehicle, a parking lot, and more than one parking space, wherein a learning module APP is an application for a driver to operate; a training unit, a starting unit, automatically driving to the designated predetermined position; a parking path database, a plurality of path data, available for the decision servo to be transmitted to the autopilot cloud servo, and the road driving and the path data are combined to provide the autopilot to the parking position at the predetermined position. All the paths can be driven by the road driving big data information of the automatic driving cloud servo, and setting the complete big data combined with the specific parking space, and the parking learning operation can be performed by the learning module APP in the parking lot independently.

Description

可讓自動駕駛車指定車位之系統及方法System and method for auto-driving car to designate parking space

本發明係關於一種易可讓自動駕駛車指定車位之系統及方法;特別關於一種模組APP可讓自動駕駛車學習停好至車位,並可分享至自動駕駛超或無人駕駛車輛的停車位停車大數據系統及方法。The present invention relates to a system and method for easily allowing automatic driving vehicles to designate parking spaces; in particular, it relates to a module APP that allows automatic driving vehicles to learn to park to the parking space, and can be shared to the parking spaces of automatic driving super or unmanned vehicles. Big data system and method.

按,自動駕駛及無人駕駛各種感知系統、決策分析系統、執行系統,已臻成熟,有效的整合出適合專用停車場的特定車位,供自動駕駛車輛快速訓練學習系統及方法,並可有效的與其他自動駕駛系統在公路上或其他道路上的大數據做有效嫁接,並將目前自動駕駛的技術導入至縮小範圍的特定停車場及特定車位範圍的環境,進行自動駕駛停車的訓練及採集大數據,不但可解決更便利輕鬆滿足停車位停車效率,且更能有效與多種自動駕駛系統的雲端大數據結合,即為本專利之發明人針對從事自動駕駛汽車或車輛相關廠商及消費者所亟欲研究改善之方向所在者。According to, the various perception systems, decision analysis systems, and execution systems of autonomous driving and unmanned driving have reached maturity. They have effectively integrated specific parking spaces suitable for dedicated parking lots for autonomous driving vehicles to quickly train and learn systems and methods, and can be effectively combined with other The autonomous driving system effectively grafts the big data on highways or other roads, and introduces the current autonomous driving technology into the environment of a narrow range of specific parking lots and specific parking spaces, and conducts automatic driving parking training and collecting big data. It can be more convenient and easy to meet the parking efficiency of parking spaces, and it can be more effectively combined with the cloud big data of a variety of autonomous driving systems. That is, the inventor of this patent is eager to study and improve for manufacturers and consumers engaged in autonomous driving cars or vehicles. The direction of the person.

故, 本發明之主要目的在於實現自動駕駛車輛可在一般停車場內透過學習模組APP的訓練單元,啟動單元、傳輸單元,自動駕駛車的車在傳出裝置及車載電腦單元,在停車場內及欲停入的車位預定位置透過手動駕駛訓練採集大數據,再經決策伺服的環境單元及分析單元操控自動駕駛車停入預定位置,並計算產生最佳停車路徑儲存於決策伺服之問題加以解決。Therefore, the main purpose of the present invention is to realize that the self-driving vehicle can be used in the general parking lot through the training unit, start-up unit, transmission unit of the learning module APP, the auto-driving vehicle's car outgoing device and on-board computer unit, and in the parking lot. The predetermined position of the parking space to be parked is collected through manual driving training, and then the environment unit and analysis unit of the decision-making servo control the automatic driving car to park in the predetermined position, and the problem of calculating the optimal parking path and storing it in the decision-making servo is solved.

本發明之另一目的在於利用決策伺服所採集儲存的停車路徑數據庫,及該數據庫收集儲存的大量路徑資料,經網路傳輸至自動駕駛雲伺服,以供各種自動駕駛雲端伺服器可有效結合特定停車場的停車位相關停車數據,可讓自動駕駛系統自道路公路自動駕駛段,及;特定停車場內的預定停車位置的停車路徑相結合,讓自動駕駛車輛系統相關廠商及使用者針對道路自動駕駛、停車場車位停泊的問題加以解決。Another object of the present invention is to use the parking route database collected and stored by the decision-making servo, and the large amount of route data collected and stored by the database, and transmitted to the autonomous driving cloud server via the network, so that various autonomous driving cloud servers can effectively combine specific Parking space-related parking data of the parking lot allows the automatic driving system to be integrated from the road and highway automatic driving section, and; the parking path of the predetermined parking position in the specific parking lot, so that the manufacturers and users of the automatic driving vehicle system can target the road automatic driving, Solve the problem of parking in parking lots.

上述系統及方法,使本發明具有解決傳統停車場停車位自動駕駛學習訓練,及;決策伺服的停車路徑數據庫分享或傳送至任何一家廠商的道路上自動駕駛雲端系統大數據相結合的功能,是從事此相關業者及習用方法所未思及之實用新穎性及進步性之系統及方法。The above-mentioned system and method enable the present invention to solve the traditional parking lot automatic driving learning training, and; the decision-making servo parking path database to share or transmit to any manufacturer's road automatic driving cloud system big data combination function, is engaged Practical novel and progressive systems and methods that the related industry and conventional methods have not thought of.

通常根據本發明一種可讓自動駕駛車指定車位之系統,本發明有關自動駕駛車的感知、決策、執行駕駛系統,在習知原理已臻成熟在此不再贅述,僅就本發明於可讓自動駕駛車指定車位之系統設計構成,詳述如下。Generally, according to the present invention, a system that allows an autonomous vehicle to designate a parking space. The present invention relates to the perception, decision-making, and execution driving system of an autonomous vehicle. The conventional principles have been matured and will not be repeated here. The system design and composition of designated parking spaces for autonomous vehicles are detailed below.

一種可讓自動駕駛車指定車位之系統,係供自動駕駛車在道路駕駛路徑上與特定停車位置的停車路徑相結合之系統,包括有:(請參酌圖1)一決策伺服(20)、一自動駕駛雲伺服(100) 相互以無線網路連結;一自動駕駛車(30)、一停車場(50)、一個以上車位(53),其特徵在於,(參酌圖2)A system that allows autonomous vehicles to designate parking spaces. It is a system for autonomous vehicles to combine on road driving paths with parking paths at specific parking locations. It includes: (please refer to Figure 1) a decision-making servo (20), a The autonomous driving cloud servo (100) is connected with each other via a wireless network; an autonomous driving car (30), a parking lot (50), and more than one parking space (53) are characterized by (refer to Figure 2)

一學習模組APP(10)係供一駕駛人(1)操作之應用程式,例如駕駛人(1)手持行動裝置可下載的APP應用程式,與該決策伺服(20)無線網路連結,其中該學習模組APP(10)包括有一傳輸單元(14)與該自動駕駛車(30)一車載傳輸裝置(32)相互傳遞信號;A learning module APP (10) is an application program for a driver (1) to operate, for example, an APP application program that can be downloaded by a driver (1) handheld mobile device, which is connected to the decision-making server (20) wireless network, where The learning module APP (10) includes a transmission unit (14) and the autonomous vehicle (30) and an on-board transmission device (32) to transmit signals to each other;

一訓練單元(11),係供該駕駛人(1)手動駕駛時可啟動該自動駕駛車(30)上的一車載電腦單元(33)及一個以上車載感知單元(31)進行該停車場(50)最適當路徑,包括到達一車位(53)及一預定位置(53a)過程中所採集環境資料大數據,並傳遞至一環境單元(21)進行暫時儲存;(參酌圖2、圖3)A training unit (11) for the driver (1) to start an on-board computer unit (33) and more than one on-board sensing unit (31) on the autonomous vehicle (30) to perform the parking lot (50 ) The most appropriate path, including big data of environmental data collected in the process of arriving at a parking space (53) and a predetermined location (53a), and transferred to an environmental unit (21) for temporary storage; (Refer to Figure 2 and Figure 3)

一啟動單元(12),係供該駕駛人(1)啟動一分析單元(22)進行該環境單元(21)大數據中最佳路徑的運算及現場環境因應的自動駕駛車(30)操控決策之功能,其中該分析單元(22)並將計算產生的最佳一停車路徑(12a),並透過該傳輸單元(14)傳輸操控執行該自動駕駛車(30)的一車載電腦單元(33),自動駕駛至指定的該預定位置(53a)(參酌圖2、圖3、圖4);An activation unit (12) for the driver (1) to activate an analysis unit (22) to perform the calculation of the best path in the big data of the environment unit (21) and the autonomous vehicle (30) control decision in response to the scene environment The analysis unit (22) calculates the optimal parking route (12a), and transmits and controls an on-board computer unit (33) of the autonomous vehicle (30) through the transmission unit (14) , Automatically drive to the designated predetermined position (53a) (refer to Figure 2, Figure 3, Figure 4);

一停車路徑數據庫(12b)(參酌圖2、圖5),包含由該停車路徑(12a)儲存成為複數個路徑資料(12c),可供該決策伺服(20)傳送至該自動駕駛雲伺服(100)(參酌圖3),作為所有不同的該自動駕駛車(30)在進行一道路駕駛(30a)設定前,進行該道路駕駛(30a)及該路徑資料(12c)相結合後,供該自動駕駛車(30)到達該停車場(50)的該預定位置(53a)的最佳全部路徑,可藉該自動駕駛雲伺服(100)的該道路駕駛(30a)大數據資訊,及設定結合特定該車位(53)的完整大數據,同時也可獨立在該停車場(50)內以該學習模組APP(10)進行停車學習之操作。A parking route database (12b) (refer to Figures 2 and 5), including multiple route data (12c) stored by the parking route (12a), which can be sent to the autonomous driving cloud servo (20) by the decision-making servo (20) 100) (Refer to Fig. 3), as all the different autonomous vehicles (30) before the setting of a road driving (30a), the road driving (30a) and the route data (12c) are combined for the The best overall path for the autonomous vehicle (30) to reach the predetermined location (53a) of the parking lot (50) can use the road driving (30a) big data information of the autonomous driving cloud servo (100), and set the combination of specific With the complete big data of the parking space (53), the learning module APP (10) can also be used to perform parking learning operations independently in the parking lot (50).

上述實施例之舉例說明,當某一汽車駕駛人欲將該自動駕駛車(30)駛入停車場(50)內部時,欲建立該自動駕駛車(30)於該停車場(50)環境可自動駕駛停置預定之車位(53),首先開啟學習模組APP(10)的訓練單元(11),該決策伺服(20)因無線網路接受該學習模組APP(10)訊號,即與該自動駕駛車(30)及車載傳輸裝置(30)、傳輸單元(14)以傳輸方式啟動該車載感知單元(31)感知現場環境,路徑、固定障礙物、移動障礙物進行偵測感知,透過駕駛人手動駕駛開始持續採集儲存環境現況之大量數據於該環境單元(21)。當該開始進行自動駕駛時,可開啟該啟動單元(12)驅使該分析單元(22)進行該環境單元(21)儲存之數據進行實況駕駛分析及決策,並經由該車載電腦單元(33)執行自動駕駛車(30)運作模式(請參酌圖2),藉此亦可將決策伺服(20)儲存的停車場(50)車位(53)預定位置(53a),停車路徑(12a)、路徑資料(12c)分享傳輸至自動駕駛雲伺服(100)。As an example of the above-mentioned embodiment, when a driver wants to drive the autonomous vehicle (30) into the parking lot (50), he wants to establish the autonomous vehicle (30) in the parking lot (50) and can drive automatically. To park the reserved parking space (53), first turn on the training unit (11) of the learning module APP (10). The decision-making servo (20) receives the signal from the learning module APP (10) due to the wireless network, and it is connected with the automatic The driving car (30), the on-board transmission device (30), and the transmission unit (14) activate the on-board sensing unit (31) to perceive the on-site environment by means of transmission. Paths, fixed obstacles, and moving obstacles are detected and perceived through the driver Manual driving begins to continuously collect and store a large amount of data on the current environment in the environment unit (21). When the automatic driving is started, the activation unit (12) can be turned on to drive the analysis unit (22) to perform live driving analysis and decision-making based on the data stored in the environmental unit (21), and execute it via the on-board computer unit (33) The operation mode of the autonomous vehicle (30) (please refer to Fig. 2), by which the predetermined position (53a), parking route (12a) and route data ( 12c) Sharing and transmitting to the autonomous driving cloud servo (100).

較佳地,該決策伺服(20)具有以無線網路連結該停車場(50)內設置複數個車場感知單元(31a),主要係供該環境單元(21)、該分析單元(22)更精確掌握停車場現場環境數據的採集(請參酌圖6)。Preferably, the decision-making servo (20) has a plurality of parking lot sensing units (31a) connected to the parking lot (50) via a wireless network, mainly for the environmental unit (21) and the analysis unit (22) to be more accurate Master the collection of on-site environmental data of the parking lot (please refer to Figure 6).

較佳地,其中該學習模組APP(10)包括一切換單元(13),其中該切換單元(13)可在該自動駕駛車(30)進行環境單元(21)的數據採集過程中,及該駕駛單元(22)進行執行該自動駕駛車(30)自動駕駛過程中,由該駕駛人(1)決定切換手動駕駛之功能(請參酌圖7)。Preferably, the learning module APP (10) includes a switching unit (13), wherein the switching unit (13) can be used during the data collection process of the environment unit (21) of the autonomous vehicle (30), and When the driving unit (22) executes the automatic driving process of the autonomous vehicle (30), the driver (1) decides to switch the function of manual driving (please refer to Fig. 7).

較佳地,其中該車載傳輸裝置(32)與該傳輸單元(14)的傳輸方式,及該車場感知單元(31a)與該決策伺服電性連結係包括有一無線射頻識別系統之讀取器(32a)或網路協定單元之接收器(32b)(圖未示)。Preferably, the transmission mode of the vehicle-mounted transmission device (32) and the transmission unit (14), and the electrical connection between the parking lot sensing unit (31a) and the decision-making servo includes a reader ( 32a) or the receiver (32b) of the network protocol unit (not shown).

較佳地,其中該分析單元(22)包括有一駕駛模組(22a),係供該分析單元(22)執行該車位(53)自動駕駛時,輔助分析該停車場(50)內特定區域之特定位置有關該自動駕駛車(30)操控的特定操控安全範圍數值 (請參酌圖7)。Preferably, the analysis unit (22) includes a driving module (22a) for the analysis unit (22) to perform automatic driving of the parking space (53) to assist in analyzing the specific area of the parking lot (50) The location is related to the specific operating safety range value of the autonomous vehicle (30) (please refer to Figure 7).

本發明有另一最佳實施例, 一種可讓自動駕駛車指定車位方法,係自動駕駛停入車位自動駕駛方法,包括有:一決策伺服(20)、一自動駕駛雲伺服(100),相互以無線網路連結;一自動駕駛車(30),一停車場(50)、一個以上車位(53),其特徵在於包括下列步驟:(參酌圖1、圖2、圖3、圖4、圖5)The present invention has another preferred embodiment, a method for autopilot cars to designate a parking space, which is an automatic driving method for autopilot parking in a parking space, including: a decision-making servo (20), an autonomous driving cloud servo (100), mutual Connected by wireless network; an autonomous vehicle (30), a parking lot (50), more than one parking space (53), characterized by including the following steps: (Refer to Figure 1, Figure 2, Figure 3, Figure 4, Figure 5 )

步驟a. 一學習模組APP(10)包括有一訓練單元(11),其中一駕駛人(1),透過一傳輸單元(14)傳輸及啟動一車載傳輸裝置(32)、一車載電腦單元(33)、一車載感知單元(31),藉此讓該駕駛人(1)手動駕駛時採集該停車場(50)現場環境及最適當的一個以上車位(53)及一預定位置(53a)路徑,其中該決策伺服(20)的一環境單元(21)進行最佳一停車路徑(12a)運算、重整、儲存其大數據(參酌圖2、圖8);Step a. A learning module APP (10) includes a training unit (11) in which a driver (1) transmits and activates a vehicle transmission device (32) and a vehicle computer unit ( 33). A vehicle-mounted sensing unit (31), which allows the driver (1) to collect the on-site environment of the parking lot (50) and the most appropriate one or more parking spaces (53) and a predetermined location (53a) path during manual driving. Among them, an environmental unit (21) of the decision-making servo (20) performs calculation, reorganization, and storage of the optimal parking path (12a) (refer to Figure 2 and Figure 8);

步驟b. 該駕駛人(1)開啟一啟動單元(12),透過該決策伺服(20)其中一分析單元(22)計算在該停車場(50)內最佳停車路徑(12a),並透過該分析單元(22)進行分析決策操控該自動駕駛汽車(30)進行該預定位置(53a)的自動駕駛停置、儲存大數據至該決策伺服(20)的一停車路徑數據庫(12b)內,其中該停車路徑數據庫(12b)包括有複數個路徑資料(12c)(參酌圖2、圖8);Step b. The driver (1) turns on a starting unit (12), and one of the analysis units (22) of the decision-making servo (20) calculates the best parking path (12a) in the parking lot (50), and passes the The analysis unit (22) performs analysis, decision-making, and controls the autonomous vehicle (30) to park automatically at the predetermined position (53a), and stores big data in a parking route database (12b) of the decision-making servo (20), wherein The parking route database (12b) includes a plurality of route data (12c) (refer to Figure 2, Figure 8);

步驟c. (參酌圖5、圖2、圖9)一道路駕駛(30a),係包括由該駕駛人(1)將該停車場(50)、該車位(53)的該預定位置(53a),經由該決策伺服(50)將該路徑資料(12c)傳送至該自動駕駛雲伺服(100),藉此可讓不同的該自動駕駛雲伺服(100)及其自動駕駛車(30)可有效嫁接該決策伺服(20)之每筆路徑資料(12c),並有效掌握各該需要的自動駕駛車(30),準確的自該道路駕駛(30a)至該停車位(53)的該預定位置(53a)。此實施例方最能符合實際操作情境。Step c. (Refer to Figure 5, Figure 2, and Figure 9) A road driving (30a) includes the predetermined position (53a) of the parking lot (50) and the parking space (53) by the driver (1), The path data (12c) is sent to the autonomous driving cloud servo (100) through the decision servo (50), so that different autonomous driving cloud servos (100) and their autonomous vehicles (30) can be effectively grafted Each path data (12c) of the decision-making servo (20), and effectively grasp the required autonomous vehicles (30), and accurately drive from the road (30a) to the predetermined position ( 53a). This embodiment can best meet the actual operating situation.

較佳地,其中該學習模組APP(10)係包括一切換單元(13) (參酌圖7、圖10),當該車體(30)進行自動駕駛過程發生緊急或該駕駛單元無法因應狀況時,駕駛人可隨時開啟該切換單元(13)切換回手動駕駛模式。Preferably, the learning module APP (10) includes a switching unit (13) (refer to FIG. 7, FIG. 10). When the vehicle body (30) is in an emergency during the automatic driving process or the driving unit cannot respond to the situation The driver can switch back to the manual driving mode at any time by turning on the switching unit (13).

較佳地,其中該環境單元(21)係包括一車位模組(23) (參酌圖7、圖10),包括有該預定車位(53)固定環境資訊、GPS輔助定位資訊、及到達預定該車位(53)在特定該停車場(50)路徑及現場障礙物、樓層的預設資訊。Preferably, the environmental unit (21) includes a parking space module (23) (refer to Figures 7 and 10), including fixed environmental information of the reserved parking space (53), GPS assisted positioning information, and arrival scheduled The parking space (53) specifies the preset information of the path of the parking lot (50) and on-site obstacles and floors.

較佳地,其中該分析單元(22)係包括一駕駛模組(22a)(參酌圖7、圖10),係供該分析單元(22)執行該車位(53)自動駕駛時,輔助分析該停車場(50)內特定區域之特定位置有關該自動駕駛車(30)操控的特定操控數值。Preferably, the analysis unit (22) includes a driving module (22a) (refer to FIG. 7, FIG. 10) for the analysis unit (22) to perform automatic driving of the parking space (53) to assist in analyzing the The specific position of the specific area in the parking lot (50) is related to the specific manipulation value of the autonomous driving vehicle (30).

藉上述組成要素之系統及方法,可讓自動駕駛車採集學習訓練停車大數據,並透過決策伺服傳送分享至道路上自動駕駛系統的雲端大數據相結合的系統及方法。故,再請參閱全部附圖所示,本發明使用時,與習用技術相較,著實解決實現習用停車場可有效以學習模組APP進行自動駕駛車之訓練及分享自動駕駛雲端系統及方法之優點。惟,以上所述僅為本發明之較佳實施例而已,非因此即侷限本發明之專利範圍,故舉凡運用本發明說明書及圖式內容所為之簡易修飾及等效結構變化,均應同理包含於本發明之專利範圍內,合予陳明。With the above-mentioned system and method of the constituent elements, the autonomous driving vehicle can collect, learn, train and park big data, and transmit it to the on-road autonomous driving system through the decision-making servo to share the cloud big data system and method. Therefore, please refer to all the drawings again. When the present invention is used, compared with the conventional technology, it can effectively solve the problem of realizing the conventional parking lot. The learning module APP can be used to train autonomous vehicles and share the advantages of the autonomous driving cloud system and method. . However, the above descriptions are only preferred embodiments of the present invention, and are not limited to the scope of the present invention. Therefore, all simple modifications and equivalent structural changes made by using the description and drawings of the present invention should be the same. It is included in the scope of the patent of the present invention, and it is hereby stated.

綜上所述,本發明之一種可讓自動駕駛車指定車位之系統及方法之功效及目的,本發明誠為一實用性優異之發明,為符合發明專利之申請要件,爰依法提出申請,盼 審委早日賜准本專利,以保障發明人之辛苦創作,倘若 鈞局審委有任何稽疑,請不吝來函指示,創作人定當竭力配合,實感德便。In summary, the effect and purpose of a system and method of the present invention that can allow an autonomous vehicle to designate a parking space. The present invention is truly an invention with excellent practicability. In order to meet the requirements of an invention patent application, I hope that The review committee granted this patent as soon as possible to protect the inventor’s hard work. If the review committee has any doubts, please feel free to write instructions. The creators will do their best to cooperate and feel good.

1:駕駛人 10:學習模組APP 11:訓練單元 12:啟動單元 12a:停車路徑 12b:停車路徑數據庫 12c:路徑資料 13:切換單元 14:傳輸單元 20:決策伺服 21:環境單元 22:分析單元 22a:駕駛模組 23:車位模組 30:自動駕駛車 30a:道路駕駛 31:車載感知單元 31a:車場感知元單 32:車載傳輸裝置 32a:無線射頻識別系統之讀取器 32b:網路協定單元之接收器 33:車載電腦單元 50:停車場 53:車位 53a:預定位置 100:自動駕駛雲伺服 步驟a~步驟c 1: Driver 10: Learning module APP 11: Training unit 12: Start the unit 12a: parking path 12b: Parking route database 12c: path data 13: Switching unit 14: Transmission unit 20: Decision Servo 21: Environmental Unit 22: Analysis unit 22a: Driving module 23: Parking module 30: Self-driving car 30a: Road driving 31: Vehicle sensing unit 31a: parking lot perception yuan list 32: Vehicle transmission device 32a: Reader for radio frequency identification system 32b: The receiver of the network protocol unit 33: On-board computer unit 50: Parking lot 53: parking space 53a: predetermined location 100: Autonomous driving cloud servo Step a~Step c

[圖1] 係本發明自動駕駛雲伺服、決策伺服、學習模組APP,停車場車位關係示意圖; [圖2] 係本發明自駕模組APP、決策伺服、自動駕駛車、停車場,包括開啟訓練收集數據模式、環境感知模式,及車載電腦單元執行模式關係示意圖; [圖3] 係本發明學習模組APP操作訓練單元,啟動單元,產生停車路徑及預定位置示意圖; [圖4] 係本發明學習模組APP、決策伺服在停車場內產生的停車路徑到達預定位置示意圖; [圖5] 係本發明決策伺服與自動駕駛雲伺服的路徑資料鏈結,自道路駕駛至停車路徑在道路駕駛及停車路徑到達預定位置示意圖; [圖6] 係本發明停車場另一較佳實施例的車場感知單元31a示意圖; [圖7] 係本發明自駕模組APP及決策伺服另一較佳實施例示意圖; [圖8] 係本發明在停車場內學習採集停車大數據及啟動自動駕駛停車的流程圖; [圖9] 係本發明在道路上自動駕駛模式,將停車路徑數據庫路徑資料傳送至自動駕駛雲伺服的自動駕駛流程圖; [圖10] 係本發明在停車場內學習採集停車大數據及啟動自動駕駛停車的另一較佳實施例流程圖; [圖11] 係本發明在道路上自動駕駛模式,將停車路徑數據庫路徑資料傳送至自動駕駛雲伺服的自動駕駛另一較佳實施例流程圖;[Figure 1] is a schematic diagram of the relationship between the autonomous driving cloud servo, decision servo, learning module APP, and parking spaces of the present invention; [Figure 2] is a schematic diagram of the relationship between the self-driving module APP, decision-making servo, self-driving car, and parking lot of the present invention, including open training data collection mode, environment perception mode, and on-board computer unit execution mode; [Figure 3] Department of the present invention learning module APP operation training unit, start unit, generating a schematic diagram of the parking path and predetermined location; [Figure 4] Department of the present invention, the learning module APP, a schematic diagram of the parking path generated by the decision-making servo in the parking lot to reach a predetermined location; [Figure 5] The path data link of the decision-making servo and the automatic driving cloud servo of the present invention, from the road driving to the parking path, the schematic diagram of the road driving and the parking path to the predetermined location; [Figure 6] is a schematic diagram of the parking lot sensing unit 31a of another preferred embodiment of the present invention; [Figure 7] is a schematic diagram of another preferred embodiment of the self-driving module APP and decision servo of the present invention; [Figure 8] Department of the present invention in the parking lot learning to collect parking big data and start the flowchart of automatic driving parking; [Figure 9] Department of the present invention in the automatic driving mode on the road, the automatic driving flow chart of the parking route database path data is sent to the automatic driving cloud servo; [Figure 10] Department of the present invention is a flowchart of another preferred embodiment of learning to collect parking big data and start automatic driving parking in a parking lot; [Figure 11] is a flowchart of another preferred embodiment of the automatic driving mode of the present invention in the automatic driving mode on the road, the parking route database path data is sent to the automatic driving cloud servo;

1:駕駛人 1: Driver

10:學習模組APP 10: Learning module APP

11:訓練單元 11: Training unit

12:啟動單元 12: Start the unit

12b:停車路徑數據庫 12b: Parking route database

12c:路徑資料 12c: path data

14:傳輸單元 14: Transmission unit

12a:停車路徑 12a: parking path

20:決策伺服 20: Decision Servo

21:環境單元 21: Environmental Unit

22:分析單元 22: Analysis unit

100:自動駕駛雲伺服 100: Autonomous driving cloud servo

30:自動駕駛車 30: Self-driving car

32:車載傳輸裝置 32: Vehicle transmission device

33:車載電腦單元 33: On-board computer unit

31:車載感知單元 31: Vehicle sensing unit

50:停車場 50: Parking lot

53:車位 53: parking space

53a:預定位置 53a: predetermined location

Claims (10)

一種可讓自動駕駛車指定車位之系統,係供自動駕駛車在道路駕駛路徑上與特定停車位置的停車路徑相結合之系統,包括有:一決策伺服(20)、一自動駕駛雲伺服(100) 相互以無線網路連結;一自動駕駛車(30)、一停車場(50)、一個以上車位(53),其特徵在於,一學習模組 APP(10) 係供一駕駛人(1)操作之應用程式,與該決策伺服(20)無線網路連結,其中該學習模組APP(10)包括有一傳輸單元(14)與該自動駕駛車(30)一車載傳輸裝置(32)相互傳遞信號;一訓練單元 (11) ,係供該駕駛人(1)手動駕駛時可啟動該自動駕駛車(30)上的一車載電腦單元(33)及一個以上車載感知單元(31)進行該停車場(50)最適當路徑,包括到達一車位(53)及一預定位置(53a)過程中所採集環境資料大數據,並傳遞至一環境單元(21)進行暫時儲存;一啟動單元 (12) ,係供該駕駛人(1)啟動一分析單元(22)進行該環境單元(21)大數據中最佳路徑的運算及現場環境因應的自動駕駛車(30)操控決策之功能,其中該分析單元(22)並將計算產生的最佳一停車路徑(12a),並透過該傳輸單元(14)傳輸操控執行該自動駕駛車(30)的一車載電腦單元(33),自動駕駛至指定的該預定位置(53a); 停車路徑數據庫 1(2b) ,包含由該停車路徑(12a)儲存成為複數個路徑資料(12c),可供該決策伺服(20)傳送至該自動駕駛雲伺服(100),作為所有不同的該自動駕駛車(30)在進行一道路駕駛(30a)設定前,進行該道路駕駛(30a)及該路徑資料(12c)相結合後,供該自動駕駛車(30)到達該停車場(50)的該預定位置(53a)的最佳全部路徑,可藉該自動駕駛雲伺服(100)的該道路駕駛(30a)大數據資訊,及設定結合特定該車位(53)的完整大數據,同時也可獨立在該停車場(50)內以該學習模組APP(10)進行停車學習之操作。A system that allows autonomous vehicles to designate parking spaces. It is a system for autonomous vehicles to combine on the road driving path with the parking path of a specific parking position. It includes: a decision-making servo (20), an autonomous driving cloud servo (100 ) Are connected by a wireless network; an autonomous vehicle (30), a parking lot (50), and more than one parking space (53), characterized in that a learning module APP (10) is for operation by a driver (1) The application program is connected to the wireless network of the decision-making servo (20), wherein the learning module APP (10) includes a transmission unit (14) and the autonomous vehicle (30) and an on-board transmission device (32) transmit signals to each other ; A training unit (11) for the driver (1) to start an on-board computer unit (33) and more than one on-board sensing unit (31) on the self-driving car (30) when the driver (1) manually drives the parking lot ( 50) The most appropriate path, including big data of environmental data collected in the process of arriving at a parking space (53) and a predetermined location (53a), and transferred to an environmental unit (21) for temporary storage; an activation unit (12) , For the driver (1) to activate an analysis unit (22) to perform the calculation of the optimal path in the environment unit (21) big data and the function of the autonomous vehicle (30) control decision in response to the scene environment, wherein the analysis unit ( 22) The optimal parking route (12a) generated by the calculation is transmitted and the on-board computer unit (33) of the autonomous vehicle (30) is transmitted and controlled through the transmission unit (14) to automatically drive to the designated reservation Location (53a); a parking route database 1(2b) , including multiple route data (12c) stored by the parking route (12a), which can be sent by the decision-making servo (20) to the autonomous driving cloud servo (100) , As all the different automatic driving vehicles (30) before setting up a road driving (30a), the road driving (30a) and the route data (12c) are combined for the automatic driving vehicle (30) to arrive The best overall route of the predetermined location (53a) of the parking lot (50) can be set by using the big data information of the road driving (30a) of the autonomous driving cloud servo (100) and the complete set of the specific parking space (53) With big data, the learning module APP (10) can also be used to perform parking learning operations independently in the parking lot (50). 如申請專利範圍第一項可讓自動駕駛車指定車位之系統,其中該決策伺服(20)具有以無線網路連結該停車場(50)內設置複數個車場感知單元(31a),主要係供該環境單元(21)、該分析單元(22)更精確掌握停車場現場環境數據的採集。For example, the first item in the scope of patent application is a system that allows autonomous vehicles to designate parking spaces, in which the decision-making servo (20) has a wireless network connected to the parking lot (50) and is provided with multiple parking sensing units (31a), which are mainly used for the The environment unit (21) and the analysis unit (22) more accurately grasp the collection of on-site environment data of the parking lot. 如申請專利範圍第一項可讓自動駕駛車指定車位之系統,其中該學習模組APP(10)包括一切換單元(13),其中該切換單元(13)可在該自動駕駛車(30)進行環境單元(21)的數據採集過程中,及該駕駛單元(22)進行執行該自動駕駛車(30)自動駕駛過程中,由該駕駛人(1)決定切換手動駕駛之功能。For example, the first item in the scope of patent application can allow an autonomous vehicle to designate a parking space system, wherein the learning module APP (10) includes a switching unit (13), wherein the switching unit (13) can be used in the autonomous vehicle (30) During the data collection process of the environmental unit (21), and the driving unit (22) executes the automatic driving process of the autonomous vehicle (30), the driver (1) decides to switch the function of manual driving. 如申請專利範圍第一項可讓自動駕駛車指定車位之系統,其中該車載傳輸裝置(32)與該傳輸單元(14)的傳輸方式,及該車場感知單元(31a)與該決策伺服電性連結係包括有一無線射頻識別系統之讀取器(32a)或網路協定單元之接收器(32b)。For example, the first item in the scope of patent application can allow an autonomous vehicle to designate a parking space system, in which the transmission method of the on-board transmission device (32) and the transmission unit (14), and the parking lot sensing unit (31a) and the decision-making servo electrical properties The link includes a reader (32a) of a radio frequency identification system or a receiver (32b) of a network protocol unit. 如申請專利範圍第一項可讓自動駕駛車指定車位之系統,其中該環境單元(21)係包括有一車位模組(23),該車位模組(23)包括有該預定車位(53)固定環境資訊、GPS輔助定位資訊、及到達預定該車位(53)在特定該停車場(50)路徑及現場障礙物、樓層的預設資訊。For example, the first item in the scope of patent application can allow an autonomous vehicle to designate a parking space system, wherein the environmental unit (21) includes a parking module (23), and the parking module (23) includes the predetermined parking space (53) fixed Environmental information, GPS-assisted positioning information, and preset information for reaching the predetermined parking space (53) in the specific parking lot (50) path and on-site obstacles and floors. 如申請專利範圍第一項可讓自動駕駛車指定車位之系統,其中該分析單元(22)包括有一駕駛模組(22a),係供該分析單元(22)執行該車位(53)自動駕駛時,輔助分析該停車場(50)內特定區域之特定位置有關該自動駕駛車(30)操控的特定操控安全範圍數值。For example, the first item in the scope of patent application can allow an autonomous vehicle to designate a parking space system, wherein the analysis unit (22) includes a driving module (22a) for the analysis unit (22) to perform automatic driving of the parking space (53) , Assisting in analyzing the specific control safety range value of the autonomous vehicle (30) at the specific location of the specific area in the parking lot (50). 一種可讓自動駕駛車指定車位方法,係供自動駕駛車(30)之道路駕駛與特定車位停車路徑相結合之方法,包括有:一決策伺服(20)、一自動駕駛雲伺服(100),相互以無線網路連結;一自動駕駛車(30),一停車場(50)、一個以上車位(53),其特徵在於包括下列步驟: a.      一學習模組APP(10)包括有一訓練單元(11),其中一駕駛人(1),透過一傳輸單元(14)傳輸及啟動一車載傳輸裝置(32)、一車載電腦單元(33)、一車載感知單元(31),藉此讓該駕駛人(1)手動駕駛時採集該停車場(50)現場環境及最適當的一個以上車位(53)及一預定位置(53a)路徑,其中該決策伺服(20)的一環境單元(21)進行最佳一停車路徑(12a)運算、重整、儲存其大數據; b.     該駕駛人(1)開啟一啟動單元(12),透過該決策伺服(20)其中一分析單元(22)計算在該停車場(50)內最佳停車路徑(12a),並透過該分析單元(22)進行分析決策操控該自動駕駛汽車(30)進行該預定位置(53a)的自動駕駛停置、儲存大數據至該決策伺服(20)的一停車路徑數據庫(12b)內,其中該停車路徑數據庫(12b)包括有複數個路徑資料(12c); c.      一道路駕駛(30a),係包括由該駕駛人(1)將該停車場(50)、該車位(53)的該預定位置(53a),經由該決策伺服(50)將該路徑資料(12c)傳送至該自動駕駛雲伺服(100),藉此可讓不同的該自動駕駛雲伺服(100)及其自動駕駛車(30)可有效嫁接該決策伺服(20)之每筆路徑資料(12c),並有效掌握各該需要的自動駕駛車(30),準確的自該道路駕駛(30a)至該停車位(53)的該預定位置(53a);A method for autopilot vehicles to designate parking spaces is a method for the road driving of autopilot vehicles (30) to be combined with specific parking paths, including: a decision-making servo (20), an autonomous driving cloud servo (100), Connected with each other by wireless network; an autonomous vehicle (30), a parking lot (50), and more than one parking space (53), characterized by including the following steps: a. A learning module APP (10) includes a training unit (11), in which a driver (1) transmits and activates a vehicle transmission device (32) and a vehicle computer unit (33) through a transmission unit (14) ), an in-vehicle sensing unit (31), which allows the driver (1) to collect the on-site environment of the parking lot (50) and the most appropriate one or more parking spaces (53) and a predetermined location (53a) path during manual driving, wherein An environmental unit (21) of the decision-making servo (20) performs calculation, reorganization, and storage of its big data for an optimal parking path (12a); b. The driver (1) turns on a starting unit (12), and one of the analysis units (22) of the decision-making servo (20) calculates the best parking path (12a) in the parking lot (50), and through the analysis The unit (22) performs analysis, decision-making, and controls the autonomous vehicle (30) to park at the predetermined position (53a) for autonomous driving, and stores big data in a parking route database (12b) of the decision-making servo (20), wherein the The parking route database (12b) includes a plurality of route data (12c); c. A road driving (30a) includes the predetermined position (53a) of the parking lot (50) and the parking space (53) by the driver (1), and the route data (53a) through the decision-making servo (50) 12c) Send to the autonomous driving cloud servo (100), so that different autonomous driving cloud servos (100) and autonomous vehicles (30) can effectively graft each path data of the decision servo (20) ( 12c), and effectively grasp each required autonomous vehicle (30), and accurately drive from the road (30a) to the predetermined position (53a) of the parking space (53); 如申請專利範圍第七項可讓自動駕駛車指定車位之方法,其中該學習模組APP(10)係包括一切換單元(13),當該車體(30)進行自動駕駛過程發生緊急或該駕駛單元無法因應狀況時,駕駛人可隨時開啟該切換單元(13)切換回手動駕駛模式。For example, the seventh item in the scope of patent application can allow an autonomous vehicle to designate a parking space. The learning module APP (10) includes a switching unit (13). When the vehicle body (30) is in an emergency or the automatic driving process When the driving unit cannot respond to the situation, the driver can switch back to the manual driving mode by turning on the switching unit (13) at any time. 如申請專利範圍第七項可讓自動駕駛車指定車位之方法,其中該環境單元(21)係包括一車位模組(23),包括有該預定車位(53)固定環境資訊、GPS輔助定位資訊、及到達預定該車位(53)在特定該停車場(50)路徑及現場障礙物、樓層的預設資訊。For example, the seventh item in the scope of patent application can allow an autonomous vehicle to designate a parking space method, wherein the environment unit (21) includes a parking space module (23), including the predetermined parking space (53) fixed environment information and GPS assisted positioning information , And arrive at the preset information of the predetermined path of the parking space (53) in the specific parking lot (50) and on-site obstacles and floors. 如申請專利範圍第七項可讓自動駕駛車指定車位之方法,其中該分析單元(22)係包括一駕駛模組(22a),係供該分析單元(22)執行該車位(53)自動駕駛時,輔助分析該停車場(50)內特定區域之特定位置有關該自動駕駛車(30)操控的特定操控數值。For example, the seventh item in the scope of patent application can allow an autonomous vehicle to designate a parking space method, wherein the analysis unit (22) includes a driving module (22a) for the analysis unit (22) to perform automatic driving of the parking space (53) At the time, it assists in analyzing the specific control value of the autonomous vehicle (30) at the specific location in the specific area in the parking lot (50).
TW108102791A 2019-01-24 2019-01-24 System and method for allowing autonomous vehicle to specify a parking space TW202028903A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113643564A (en) * 2021-07-27 2021-11-12 中国科学院深圳先进技术研究院 Parking data restoration method and device, computer equipment and storage medium

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113643564A (en) * 2021-07-27 2021-11-12 中国科学院深圳先进技术研究院 Parking data restoration method and device, computer equipment and storage medium

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