KR20170053799A - Apparatus and method for providing the safety of autonomous driving vehicle - Google Patents
Apparatus and method for providing the safety of autonomous driving vehicle Download PDFInfo
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- KR20170053799A KR20170053799A KR1020150155967A KR20150155967A KR20170053799A KR 20170053799 A KR20170053799 A KR 20170053799A KR 1020150155967 A KR1020150155967 A KR 1020150155967A KR 20150155967 A KR20150155967 A KR 20150155967A KR 20170053799 A KR20170053799 A KR 20170053799A
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- 238000000034 method Methods 0.000 title claims abstract description 29
- 238000001514 detection method Methods 0.000 claims abstract description 5
- 238000005516 engineering process Methods 0.000 description 6
- 239000000446 fuel Substances 0.000 description 6
- 230000001133 acceleration Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 238000001914 filtration Methods 0.000 description 2
- 230000014509 gene expression Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 239000002826 coolant Substances 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
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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
- B60W30/14—Adaptive cruise control
-
- 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
- B60W30/08—Active safety systems predicting or avoiding probable or impending collision or attempting to minimise its consequences
-
- 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
- B60W40/08—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 drivers or passengers
- B60W40/09—Driving style or behaviour
-
- 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
- B60W40/10—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 vehicle motion
-
- 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
-
- 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
- B60W2050/143—Alarm means
-
- 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
- B60W2050/146—Display means
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- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Human Computer Interaction (AREA)
- Control Of Driving Devices And Active Controlling Of Vehicle (AREA)
- Traffic Control Systems (AREA)
Abstract
Description
An embodiment according to the concept of the present invention relates to an apparatus and method for providing safety of an autonomous vehicle, and more particularly to an apparatus and method for providing safety of an autonomous vehicle, To a safety mode in which an automatic mode can be changed to a manual mode in accordance with an instruction from a user.
This patent discloses a technique for detecting a dangerous situation that may occur in a vehicle Internet (IoT) environment equipped with an autonomous navigation system.
With the recent convergence of ICT (Information and Communication Technology) technology in vehicles, the Connected Car environment where vehicles are connected to the external network has been commercialized, and automobiles equipped with autonomous traveling systems that are moving by themselves are being commercialized . The automobile industry expects autonomous vehicles to be commercialized by 2020. 'Lane Departure Warning System (LDWS)', 'Lane Maintenance Support System (LKAS)', 'Back Side Warning System' (BSD), 'Automobile Emergency Vehicle Brake system (AEB) '.
On May 14, 2015, the Korea Automobile Safety Research Institute presented safety and autonomous technology demonstrations to show safety devices such as automobile safety devices, automatic emergency braking devices for passenger cars, lane keeping devices, and technologies related to autonomous driving technology. The automatic safety braking device and the lane keeping support device are reflected as an evaluation item in the 2017 Automobile Safety Evaluation (KNCAP).
Outside of the country, Google unveiled a prototype of autonomous vehicles in December 2014, and showed technology related to autonomous driving at BMW, Benz Volvo at the International Consumer Electronics Show (CES)
This change means that the vehicle is increasingly connected to the outside, and malicious remote control or hacking of such a function is increasing.
Autonomous navigation systems use advanced sensors and high-performance graphics devices to recognize objects around them, most of which use LiDAR sensors. However, the rider system can hack at a low cost of about 60 dollars. Although autonomous navigation is being commercialized in this way, the management of vehicle security is still insufficient.
The technical problem to be solved by the present invention is to detect the dangerous situations that may occur in the Internet (IoT) environment of an autonomous driving vehicle object by comparing the similarity with the existing driving pattern of the driver and provide the driver with the self- And to provide a method and apparatus for providing safety.
A method for providing safety of an autonomous vehicle according to an embodiment of the present invention includes receiving driver information, calling an operation pattern according to the driver information, detecting a dangerous situation based on the similarity with the called operation pattern The method comprising the steps of: providing an alarm for the dangerous situation; receiving an input of a driver for the dangerous situation; and collecting data on the automobile on which the driver is driving and analyzing the collected data, And updating the operation pattern.
Also, an apparatus for providing safety of an autonomous vehicle according to an embodiment of the present invention includes an input device and a display device, and may display a vehicle driving information or a dangerous situation alarm to a driver, or may display driver information or an autonomous driving mode / A risk situation alarm unit for detecting a dangerous situation based on a similarity analysis based on an operation pattern of the driver, a dangerous situation alarm unit for providing an alarm for the dangerous situation when the dangerous situation is detected, An operation pattern learning unit for collecting vehicle-related data for a predetermined period to generate a new operation pattern or updating an existing operation pattern, and a storage unit for storing the driver information and the operation pattern.
A method and apparatus for providing safety of an autonomous vehicle according to an embodiment of the present invention collects information on a vehicle and provides an alarm to a driver when the driver leaves the operation pattern of the driver. It can be judged.
In addition, the safety of the autonomous vehicle can be secured by receiving a dangerous situation alarm through the analysis of the similarity degree of the operation pattern and a driver selection according to the alarm.
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS In order to more fully understand the drawings recited in the detailed description of the present invention, a detailed description of each drawing is provided.
1 is a functional block diagram of an apparatus for providing safety of an autonomous vehicle according to an embodiment of the present invention.
2 is a flowchart illustrating a method for providing safety of an autonomous vehicle according to an embodiment of the present invention.
FIG. 3 illustrates an interface screen for detecting a dangerous situation and generating a dangerous situation alarm according to an embodiment of the present invention.
FIG. 4 is a table on which vehicle information for dangerous situation detection and driver pattern learning according to an embodiment of the present invention is loaded.
It is to be understood that the specific structural or functional description of embodiments of the present invention disclosed herein is for illustrative purposes only and is not intended to limit the scope of the inventive concept But may be embodied in many different forms and is not limited to the embodiments set forth herein.
The embodiments according to the concept of the present invention can make various changes and can take various forms, so that the embodiments are illustrated in the drawings and described in detail herein. It should be understood, however, that it is not intended to limit the embodiments according to the concepts of the present invention to the particular forms disclosed, but includes all modifications, equivalents, or alternatives falling within the spirit and scope of the invention.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The singular expressions include plural expressions unless the context clearly dictates otherwise. In this specification, the terms "comprises" or "having" and the like are used to specify that there are features, numbers, steps, operations, elements, parts or combinations thereof described herein, But do not preclude the presence or addition of one or more other features, integers, steps, operations, components, parts, or combinations thereof.
Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms such as those defined in commonly used dictionaries are to be interpreted as having a meaning consistent with the meaning of the context in the relevant art and, unless explicitly defined herein, are to be interpreted as ideal or overly formal Do not.
Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings attached hereto.
Hereinafter, an apparatus for providing safety of an autonomous vehicle according to an embodiment of the present invention will be described in detail with reference to FIG.
1 is a functional block diagram of an
Referring to FIG. 1, an
As used herein, the term "minus" may mean a functional and structural combination of hardware for carrying out the technical idea of the present invention and software for driving the hardware. For example, the '-section' may mean a logical unit of a predetermined code and a hardware resource to be executed by the predetermined code, and does not necessarily mean a physically connected code or a kind of hardware.
The
The driver can input driver information, for example, through the
The dangerous situation sensing
The danger
The operation
The
The
Hereinafter, a safety providing method of an autonomous vehicle using the safety providing apparatus of an autonomous vehicle according to an embodiment of the present invention will be described in detail with reference to FIG. 2 to FIG.
FIG. 2 is a flowchart for explaining a safety providing method of an autonomous vehicle using the safety providing apparatus of the autonomous vehicle shown in FIG. 1. FIG. 3 is a flowchart illustrating a method of detecting a dangerous situation according to an embodiment of the present invention, FIG. 4 is an exemplary table in which vehicle information for dangerous situation detection and driver pattern learning is loaded according to an embodiment of the present invention. Referring to FIG.
The present invention can largely be divided into an information collecting step and a dangerous situation sensing step. The driver recognizes a dangerous situation on the basis of the driver pattern information, and automatically sets the automatic mode (autonomous driving mode) Mode (manual operation mode), thereby ensuring safety.
First, a method of setting a default value of an operation pattern for providing safety of an autonomous vehicle according to an embodiment of the present invention will be described.
First, data related to the autonomous vehicle is collected for a predetermined period of time. For example, the information collected is shown in [Table 1] below. The data collection period can be from about 3 months to 6 months.
Next, the collected data is analyzed to set a default value of the operation pattern. It is also possible to further reflect variables such as season or weather to the default value.
FIG. 2 is a flowchart illustrating a method for providing safety of an autonomous vehicle using the safety providing apparatus of the autonomous vehicle shown in FIG. 1. FIG. According to one embodiment, a method for providing safety of an autonomous vehicle may be provided through an application, particularly a navigation application, and the collected information may be stored in a storage of the application to monitor basic information of the vehicle in real time.
First, the
Next, driver information such as driver identification information is received through the interface unit 110 (S100). At this time, the driver identification information may be a driver name, a driver alias, or a driver ID.
Next, it is determined whether the received driver information is a driver registered with an operation pattern (S200).
If the driver is not registered with the operation pattern, the driver information is newly registered and the default value is called (S320). The new driver information is stored in the
If the operation pattern is the registered driver, the registered operation pattern information is retrieved (S310).
Although not shown in the drawings, the method may further include adjusting a called operation pattern according to an internal factor or an external factor with respect to the called operation pattern.
Next, the operation pattern is monitored and a dangerous situation is sensed (S400, see Figs. 3 (a) and 3 (b)). For example, it is possible to monitor whether or not an operation pattern different from the called operation pattern occurs. Specifically, in the case of an initially registered driver, a dangerous situation is detected when an operation pattern different from the called default is generated, and in the case of a registered driver, a dangerous situation is detected when an operation pattern different from the previously registered operation pattern occurs . That is, the operation pattern or default according to the existing driving habit compares the previous data with the current data to the normal range of the corresponding driver and detects the dangerous condition when the threshold is exceeded. At this time, the critical range may be preset by the administrator or the driver, and preferably, the critical range may be 95% to 98% under the statistical technique.
Next, when a dangerous situation is detected, for example, when an operation pattern different from the called operation pattern occurs, a dangerous situation occurrence alarm is generated (S500, see FIG. For example, if a sudden sudden break, a handle breaks, or overspeeds, it is detected as a dangerous situation and an alert window is displayed to switch to manual mode (manual operation mode) or to maintain automatic mode (autonomous mode) The driver can select whether to do so. In addition, it can generate a beep warning of a dangerous situation so that it can react immediately.
Next, the driver's input on the dangerous situation is received from the driver (S600). For example, you can receive operator input on whether to keep the automatic mode or switch to manual mode. If the driver is in an emergency, unlike the existing driving pattern, speeding up is not a dangerous situation. Therefore, the automatic mode is maintained. However, when the vehicle is in the hacking state, it can be switched to the manual mode to secure safety. In other words, when the vehicle is running in the automatic mode, it is possible to secure the safety of the driver by switching manually when a dangerous situation occurs.
Next, the driver collects data related to the vehicle (S700). The driver's driving habits can collect data by day, month, year, and season (up to one year). It is also possible to collect the input information of the driver for the dangerous situation alarm and the like. The collected data can be loaded into an on-car android-based navigation application, and a loaded example is shown in FIG.
Next, the collected operation information is learned and the existing operation pattern setting value is updated (S800). The update period can be set by the administrator or the driver, and can be automatically updated according to the set period. It is also possible to update manually by the driver.
Some steps shown in FIG. 2, for example, a vehicle information collecting step, and the like may be performed in a different order.
With the commercialization of self-propelled vehicles, many automobile industries are developing, but safety management of autonomous vehicles is insufficient. Hacking techniques using these vulnerabilities have appeared, and the safety of autonomous vehicles is not guaranteed. The apparatus and method for improving the stability of an autonomous vehicle according to the present invention can provide safety to an autonomous vehicle by allowing a user to recognize a dangerous situation at the time of autonomous driving and to judge the dangerous situation.
The safety providing method of the above-described autonomous vehicle may be a program that can be executed by a computer, and the program may be recorded on a computer-readable recording medium, and the program may be provided through a network .
Examples of the recording medium include a magnetic medium such as a hard disk, a floppy disk and a magnetic tape, a CDROM, an optical medium such as a DVD, a magneto-optical medium such as a floptical disk magneto-optical media, and hardware devices that are specially configured to store and execute programs such as ROM, RAM, flash memory, and the like. In addition, the recording medium may be distributed and distributed to a network-connected computer system so that a computer-readable instruction set can be stored and executed in a distributed manner.
While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is evident that many alternatives, modifications and variations will be apparent to those skilled in the art. Accordingly, the true scope of the present invention should be determined by the technical idea of the appended claims.
100: safety safety device for autonomous vehicle
110: interface unit 120: dangerous situation detection unit
130: Risk alarm unit 140: Operation pattern learning unit
180: storage unit 190: control unit
Claims (8)
Receiving driver information;
Calling an operation pattern according to the driver information;
Detecting a dangerous situation based on the called operation pattern and a degree of similarity;
Providing an alarm for the risk condition;
Receiving an input of a driver for the risk condition alarm; And
And collecting data on the vehicle traveling by the driver and analyzing the collected data to update the driving pattern of the driver.
The step of calling the operation pattern
If a registered operation pattern does not exist for the driver information, a default value of the operation pattern is called,
Wherein the registered operation pattern is called when there is a registered operation pattern for the driver information.
The operation pattern default value
Collecting vehicle-related data according to driving of at least one driver for a predetermined period of time, and analyzing and collecting the collected data.
The step of detecting the dangerous situation includes:
Analyzing the similarity between the called operation pattern and the vehicle-related data with respect to the current driving, and detecting the dangerous situation when the degree of similarity is lower than a lower limit threshold or higher than an upper limit threshold.
Wherein the lower limit threshold is 95% and the upper limit threshold is 98%.
The step of providing an alarm for the risk situation comprises:
And displaying an alarm window for selecting whether to maintain the autonomous mode or switch to the manual operation mode,
Wherein the step of receiving an input of a driver for the dangerous situation comprises:
And receiving a selection of whether to maintain the autonomous mode or switch to the manual operation mode.
A danger detection unit for detecting a dangerous situation through a similarity analysis based on the driving pattern of the driver;
A danger alarm unit for providing an alarm for the dangerous situation when the dangerous situation is detected;
An operation pattern learning unit for collecting vehicle-related data for a predetermined period to generate a new operation pattern or update an existing operation pattern; And
And a storage unit for storing the driver information and the operation pattern.
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KR1020150155967A KR20170053799A (en) | 2015-11-06 | 2015-11-06 | Apparatus and method for providing the safety of autonomous driving vehicle |
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Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
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KR20190022989A (en) * | 2017-08-25 | 2019-03-07 | 한국철도공사 | Experimental optimized digital big data operation based trains autonomous driving system and method thereof |
CN109814520A (en) * | 2017-11-21 | 2019-05-28 | 通用汽车环球科技运作有限责任公司 | System and method for determining the security incident of autonomous vehicle |
WO2020139483A1 (en) * | 2018-12-27 | 2020-07-02 | Intel Corporation | Technologies for providing a cognitive capacity test for autonomous driving |
KR20200118882A (en) * | 2018-03-16 | 2020-10-16 | 후아웨이 테크놀러지 컴퍼니 리미티드 | Self-driving safety evaluation method, device, and system |
KR20210056915A (en) * | 2019-11-11 | 2021-05-20 | 한국과학기술원 | Method for Determining Time of Stable Driving for Autonomous Driving Vehicle And Computer Program Therefor |
CN113044043A (en) * | 2019-12-27 | 2021-06-29 | 现代自动车株式会社 | Autonomous vehicle control system and autonomous vehicle control method using the same |
CN113619594A (en) * | 2021-08-27 | 2021-11-09 | 中国第一汽车股份有限公司 | Method, device, equipment and medium for determining driving mode of vehicle |
KR20210137505A (en) * | 2019-03-19 | 2021-11-17 | 우이시 테크놀로지스 (베이징) 리미티드. | How to upgrade an autonomous driving system, autonomous driving system and in-vehicle device |
KR20210137506A (en) * | 2019-03-19 | 2021-11-17 | 우이시 테크놀로지스 (베이징) 리미티드. | How to upgrade an autonomous driving system, autonomous driving system and in-vehicle device |
KR20220080797A (en) * | 2020-12-07 | 2022-06-15 | 한국자동차연구원 | System and method for controlling autonomous driving vehicle |
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2015
- 2015-11-06 KR KR1020150155967A patent/KR20170053799A/en not_active Application Discontinuation
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KR20190022989A (en) * | 2017-08-25 | 2019-03-07 | 한국철도공사 | Experimental optimized digital big data operation based trains autonomous driving system and method thereof |
CN109814520A (en) * | 2017-11-21 | 2019-05-28 | 通用汽车环球科技运作有限责任公司 | System and method for determining the security incident of autonomous vehicle |
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KR20200118882A (en) * | 2018-03-16 | 2020-10-16 | 후아웨이 테크놀러지 컴퍼니 리미티드 | Self-driving safety evaluation method, device, and system |
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KR20210137505A (en) * | 2019-03-19 | 2021-11-17 | 우이시 테크놀로지스 (베이징) 리미티드. | How to upgrade an autonomous driving system, autonomous driving system and in-vehicle device |
KR20210137506A (en) * | 2019-03-19 | 2021-11-17 | 우이시 테크놀로지스 (베이징) 리미티드. | How to upgrade an autonomous driving system, autonomous driving system and in-vehicle device |
KR20210056915A (en) * | 2019-11-11 | 2021-05-20 | 한국과학기술원 | Method for Determining Time of Stable Driving for Autonomous Driving Vehicle And Computer Program Therefor |
CN113044043A (en) * | 2019-12-27 | 2021-06-29 | 现代自动车株式会社 | Autonomous vehicle control system and autonomous vehicle control method using the same |
KR20220080797A (en) * | 2020-12-07 | 2022-06-15 | 한국자동차연구원 | System and method for controlling autonomous driving vehicle |
CN113619594A (en) * | 2021-08-27 | 2021-11-09 | 中国第一汽车股份有限公司 | Method, device, equipment and medium for determining driving mode of vehicle |
CN113619594B (en) * | 2021-08-27 | 2023-11-28 | 中国第一汽车股份有限公司 | Method, device, equipment and medium for determining driving mode of vehicle |
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