CN113844464A - Automatic driving intelligent grading interaction system and method based on driving grading - Google Patents
Automatic driving intelligent grading interaction system and method based on driving grading Download PDFInfo
- Publication number
- CN113844464A CN113844464A CN202111173205.6A CN202111173205A CN113844464A CN 113844464 A CN113844464 A CN 113844464A CN 202111173205 A CN202111173205 A CN 202111173205A CN 113844464 A CN113844464 A CN 113844464A
- Authority
- CN
- China
- Prior art keywords
- user
- driving
- module
- automatic driving
- interaction
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- 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
- B60W60/00—Drive control systems specially adapted for autonomous road vehicles
- B60W60/001—Planning or execution of driving tasks
- B60W60/0015—Planning or execution of driving tasks specially adapted for safety
- B60W60/0016—Planning or execution of driving tasks specially adapted for safety of the vehicle or its occupants
Abstract
The invention discloses an automatic driving intelligent grading interaction system and method based on driving scores, wherein the system comprises the following components: the system comprises a use guide module, an information acquisition module, a user rating module and a grading interaction module which are sequentially arranged, wherein the use guide module is used for guiding a user to use the automatic driving system; the information acquisition module is used for acquiring feedback information of the user in the process of guiding the user to use; the user rating module is used for rating the user according to the feedback information; and the grading interaction module is used for determining an interaction mode with the user according to the rating result. The automatic driving intelligent grading interaction system based on the driving scores, provided by the invention, can be used for carrying out brief function use description and operation guidance on a user who is in contact with the system for the first time, and can help the user to know the use method of the function; the method has the advantages that the user information is collected and analyzed, and the hierarchy judgment is carried out on the use condition of the user, so that the use permission of the user is actively set, the safety of the automatic driving system is improved, and the user experience is improved.
Description
Technical Field
The invention relates to the technical field of automatic driving, in particular to an automatic driving intelligent grading interaction system and method based on driving scores.
Background
The automatic driving is also called unmanned driving, and is an advanced technology for controlling the automatic driving of the vehicle through a computer system. Vehicles with an auxiliary driving system and a partial automatic driving function have mature human-computer interaction schemes, such as a mode that a steering wheel vibrates and a voice alarm can remind passengers of the vehicle when the vehicle deviates from a preset lane.
The difference between users is not considered in the current human-computer interaction scheme, the human-computer interaction mode is the same for all users, the interaction accuracy is poor, and the automatic driving intelligence is not achieved.
Therefore, there is a need for an automatic driving intelligent hierarchical interaction system and method based on driving scores.
Disclosure of Invention
The invention aims to provide an automatic driving intelligent grading interaction system and method based on driving scores, which are used for solving the problems in the prior art and can be used for carrying out grading judgment on the use condition of a user so as to actively set the use permission of the user.
The invention provides an automatic driving intelligent grading interaction system based on driving scores, which comprises the following components:
the use guide module, information acquisition module, user rating module and the hierarchical interaction module that set gradually, wherein:
the use guide module is used for guiding a user to use the automatic driving system;
the information acquisition module is used for acquiring feedback information of the user in the process of guiding the user to use the automatic driving system by the use guide module;
the user rating module is used for rating the user according to the feedback information of the user;
and the grading interaction module determines the interaction mode of the automatic driving system and the user according to the grading result of the user.
The driving score-based hierarchical interaction system for automated driving intelligence as described above, wherein preferably, the usage guidance module is specifically configured to provide functional usage instructions and operation guidance for a user who first contacts the automated driving system, so that the user is informed of a usage method of a function in the automated driving system.
The driving score-based automated driving intelligent hierarchical interaction system as described above, wherein preferably, the usage guidance module includes a key click unit, an information display unit and a voice prompt unit, wherein:
the key clicking unit is used for executing a key clicking function on a key related to the automatic driving system in the cabin;
the information display unit is used for responding to the click key operation of a user and displaying the dynamic operation information of the actuator related to the key;
the voice prompt unit is used for indicating the user to operate the actuator related to the key in a voice prompt mode.
The driving score-based automated driving intelligent hierarchical interaction system is preferably configured to, through an in-vehicle sensor associated with the automated driving system, acquire a time difference between when a user senses an information prompt and when feedback is given and/or whether user feedback is accurate.
The above-mentioned automated driving intelligent hierarchical interaction system based on driving scores, wherein preferably, the user rating module is configured to receive the feedback information of the user sent by the information acquisition module, dynamically score the current user through a preset algorithm, and partition a driving hierarchy where the current user is currently located.
The driving score-based automated driving intelligent hierarchical interaction system is preferably configured to set different automated driving function authorities for users of each driving hierarchy.
The invention also provides an automatic driving intelligent grading interaction method based on driving grading, which adopts the system and comprises the following steps:
guiding a user to use the automatic driving system;
collecting feedback information of a user in the process of guiding the user to use the automatic driving system;
ranking the user according to the feedback information of the user;
and determining the interaction mode of the automatic driving system and the user according to the rating result of the user.
The driving score-based automated driving intelligent hierarchical interaction method as described above, wherein preferably, the guiding the user to use an automated driving system specifically includes:
executing a key click function on a key in the cabin related to the automatic driving system;
responding to the click key operation of a user, and displaying the dynamic operation information of an actuator related to the key;
and instructing the user to operate the actuator related to the key in a voice prompt mode.
The driving score-based hierarchical interaction method for automatic driving intelligence as described above, wherein preferably, the collecting feedback information of the user in the process of guiding the user to use the automatic driving system specifically includes:
and acquiring the time difference between the perception of the user to the information reminding and the feedback making of the user and/or whether the user feedback is accurate or not through an in-vehicle sensor related to the automatic driving system.
The driving score-based hierarchical interaction method for automatic driving intelligence as described above, wherein preferably, the ranking the user according to the feedback information of the user specifically includes:
and receiving the feedback information of the user, and dynamically scoring the current user through a preset algorithm to divide the driving level of the current user.
The automatic driving intelligent grading interaction system and method based on the driving scores perform brief function use description and operation guidance on the user who is in contact with the automatic driving function for the first time, and can help the user to know the use method of the function; the collection and analysis of the user information can help the automatic driving system to carry out level judgment on the use condition of the user, so that the use permission of the user is actively set, the safety of the automatic driving system is improved, and the user experience is improved.
Drawings
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described with reference to the accompanying drawings, in which:
FIG. 1 is a block diagram of an embodiment of an automated driving intelligent hierarchical interaction system based on driving scores according to the present invention;
FIG. 2 is a flowchart of an automated driving intelligence grading interaction method based on driving scores according to the present invention.
Detailed Description
Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. The description of the exemplary embodiments is merely illustrative and is in no way intended to limit the disclosure, its application, or uses. The present disclosure may be embodied in many different forms and is not limited to the embodiments described herein. These embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art. It should be noted that: the relative arrangement of parts and steps, the composition of materials, numerical expressions and numerical values set forth in these embodiments are to be construed as merely illustrative, and not as limitative, unless specifically stated otherwise.
As used in this disclosure, "first", "second": and the like, do not denote any order, quantity, or importance, but rather are used to distinguish one element from another. The word "comprising" or "comprises", and the like, means that the element preceding the word covers the element listed after the word, and does not exclude the possibility that other elements are also covered. "upper", "lower", and the like are used merely to indicate relative positional relationships, and when the absolute position of the object being described is changed, the relative positional relationships may also be changed accordingly.
In the present disclosure, when a specific component is described as being located between a first component and a second component, there may or may not be intervening components between the specific component and the first component or the second component. When it is described that a specific component is connected to other components, the specific component may be directly connected to the other components without having an intervening component, or may be directly connected to the other components without having an intervening component.
All terms (including technical or scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs unless specifically defined otherwise. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail, but are intended to be part of the specification where appropriate.
With the increasing sophistication of hardware facilities, the combination of hardware and software promises the internet + era. The continuous release of intelligent products shows that the continuous upgrading of the internet of everything interconnection becomes possible. Under the concept of the internet of things, the internet of vehicles gradually appears in the visual field of people, and the interconnection of vehicles and other objects is realized through the modern information technology, so that vehicle monitoring, intelligent path planning, safety control and the like can be realized, even automatic driving is realized, the urban traffic system is perfected, and the smart city is created.
As shown in fig. 1, the driving score-based automated driving intelligent hierarchical interaction system provided by the present embodiment includes: the use guide module 1, the information acquisition module 2, the user rating module 3 and the hierarchical interaction module 4 that set gradually, wherein:
the use guide module 1 is used for guiding a user to use an automatic driving system;
the information acquisition module 2 is used for acquiring feedback information of a user in the process of guiding the user to use the automatic driving system by the use guide module 1;
the user rating module 3 is used for rating the user according to the feedback information of the user;
and the grading interaction module 4 determines the interaction mode of the automatic driving system and the user according to the grading result of the user.
The use guidance module 1 is specifically configured to provide a function use instruction and operation guidance for a user who first contacts the automatic driving system, so that the user can know a use method of a function in the automatic driving system. Automobiles with an automatic driving function have not been popularized to many market users, and ordinary users have little knowledge about the use method and the expected effect of the automatic driving function and lack of sense of trust in the use of the automatic driving function except for professionals who do automobile research. For a user who has not touched the automatic driving function, the user uses a vehicle equipped with the automatic driving function for the first time, and does not know the key function related to the automatic driving in the cabin.
Further, the use guidance module 1 includes a key click unit, an information display unit, and a voice prompt unit, wherein:
the key clicking unit is used for executing a key clicking function on a key related to the automatic driving system in the cabin;
the information display unit is used for responding to the click key operation of a user and displaying the dynamic operation information of the actuator related to the key;
the voice prompt unit is used for indicating the user to operate the actuator related to the key in a voice prompt mode.
The information Display unit is, for example, a meter, a central control, a Head-Up Display (HUD), an Augmented Reality (AR), or the like, and after the key is clicked, the interface of the information Display unit displays dynamic information in a graphic manner. The voice prompt unit is, for example, a voice housekeeper or the like. The actuator associated with the key is, for example, an accelerator pedal, a steering wheel or a brake pedal, and the like, and when the user is prompted to operate the actuator associated with the key according to the voice, the activation and the deactivation of different automatic driving functions can be activated and satisfied.
Furthermore, the information acquisition module is specifically configured to acquire, through an in-vehicle sensor associated with the automatic driving system, a time difference between when the user perceives the information alert and when the user makes a feedback and/or whether the user feedback is accurate.
The in-vehicle sensors related to the automatic driving system are, for example, an in-vehicle camera, a microphone, a central control touch screen, a steering column, and the like. The identity information of the user can be acquired through a camera in the vehicle and the like, and the user ID is determined according to the identity information of the user.
Further, the user rating module 3 is configured to receive the feedback information of the user sent by the information acquisition module 2, dynamically score the current user through a preset algorithm, and partition a driving hierarchy where the current user is currently located.
The information acquisition module 2 sends the acquired signals to the user rating module 3, so that the user rating module 3 dynamically scores the current user through a preset algorithm and divides a driving hierarchy where the user is currently located, wherein the driving hierarchy includes, for example, a primary player, a star player, a high-class player, and the like. The user rating module 3 gets the rating result as a dynamic rating and binds with the user ID.
The hierarchical interaction module 4 is specifically configured to set different automatic driving function permissions for users of each driving hierarchy. For example, the automatic driving functions used by the junior players are lane keeping, automatic emergency braking, adaptive cruise, etc., and the lane change function is not available; the distance between the vehicles kept in the lane can only be set to be a long distance; the voice reminding help is in a detailed mode; the reminding volume is high; the automatic emergency brake function cannot be manually closed; the self-adaptive cruise speed cannot be more than 100km/h and the like. The advanced players can use all automatic driving functions, simplify reminding contents, reduce reminding frequency, shorten following distance, improve cruising speed and the like. In addition, as the driving level of the user is improved, the entertainment facilities in the vehicle are released to the user for use in a grading manner. The proportions of entertainment functions and safety settings will vary in different autopilot scenarios.
The automatic driving function is a mutual learning process, the user learns and operates, the system adapts to the user, and the final aim is to improve the safety level of vehicle driving, liberate the time and energy of the driver and enable the user to trust the driver and ensure the driver to be safer.
According to the automatic driving intelligent grading interaction system based on the driving scores, the guidance module is used for carrying out brief function use description and operation guidance on the user who is in contact with the automatic driving function for the first time, so that the user can be helped to know the use method of the function; the information collection module collects and analyzes the user information, and the user rating module is favorable for carrying out level judgment on the use condition of the user, so that the use permission of the user is actively set through the level interaction module, the safety of the automatic driving system is improved, and the user experience is improved; the user is helped to know the automatic driving function through friendly operation guidance and multi-mode hierarchical man-machine interaction, and the automatic driving interaction mode meeting the self requirement is set by using the automatic driving function.
As shown in fig. 2, the driving score-based automatic driving intelligent hierarchical interaction method provided by this embodiment specifically includes, in an actual execution process:
and step S1, guiding the user to use the automatic driving system.
Through step S1, a user who first touches the automatic driving system may be provided with a function instruction and an operation guidance so that the user is informed of the method of use of the function in the automatic driving system. Automobiles with an automatic driving function have not been popularized to many market users, and ordinary users have little knowledge about the use method and the expected effect of the automatic driving function and lack of sense of trust in the use of the automatic driving function except for professionals who do automobile research. For a user who has not touched the automatic driving function, the user uses a vehicle equipped with the automatic driving function for the first time, and does not know the key function related to the automatic driving in the cabin.
In an embodiment of the automatic driving intelligent hierarchical interaction system based on driving scores of the present invention, the step S1 may specifically include:
and step S11, executing a key click function on a key related to the automatic driving system in the cabin.
Step S12 is to display dynamic operation information of the actuator associated with the key in response to the click operation of the user.
Step S13 is to instruct the user to operate the actuator associated with the key in a voice prompt manner.
And step S2, acquiring feedback information of the user in the process of guiding the user to use the automatic driving system.
Specifically, the time difference between when the user perceives the information prompt and when the user makes a feedback and/or whether the user feedback is accurate is collected through an in-vehicle sensor associated with the automatic driving system.
The in-vehicle sensors related to the automatic driving system are, for example, an in-vehicle camera, a microphone, a central control touch screen, a steering column, and the like. The identity information of the user can be acquired through a camera in the vehicle and the like, and the user ID is determined according to the identity information of the user.
And step S3, rating the user according to the feedback information of the user.
Specifically, the feedback information of the user is received, the current user is dynamically scored through a preset algorithm, and the current driving level of the current user is divided. The driving hierarchy is, for example, a junior player, a star player, a senior player, and the like. The user rating module 3 gets the rating result as a dynamic rating and binds with the user ID.
And step S4, determining the interaction mode of the automatic driving system and the user according to the rating result of the user.
For example, the automatic driving functions used by the junior players are lane keeping, automatic emergency braking, adaptive cruise, etc., and the lane change function is not available; the distance between the vehicles kept in the lane can only be set to be a long distance; the voice reminding help is in a detailed mode; the reminding volume is high; the automatic emergency brake function cannot be manually closed; the self-adaptive cruise speed cannot be more than 100km/h and the like. The advanced players can use all automatic driving functions, simplify reminding contents, reduce reminding frequency, shorten following distance, improve cruising speed and the like. In addition, as the driving level of the user is improved, the entertainment facilities in the vehicle are released to the user for use in a grading manner. The proportions of entertainment functions and safety settings will vary in different autopilot scenarios.
According to the driving score-based intelligent grading interaction method for automatic driving, provided by the embodiment of the invention, a user who is in contact with an automatic driving function for the first time is briefly explained and guided in operation, so that the user can be helped to know the use method of the function; the collection and analysis of the user information can help the automatic driving system to carry out hierarchical judgment on the use condition of the user, so that the use permission of the user is actively set, the safety of the automatic driving system is improved, and the user experience is improved; the user is helped to know the automatic driving function through friendly operation guidance and multi-mode hierarchical man-machine interaction, and the automatic driving interaction mode meeting the self requirement is set by using the automatic driving function.
Thus, various embodiments of the present disclosure have been described in detail. Some details that are well known in the art have not been described in order to avoid obscuring the concepts of the present disclosure. It will be fully apparent to those skilled in the art from the foregoing description how to practice the presently disclosed embodiments.
Although some specific embodiments of the present disclosure have been described in detail by way of example, it should be understood by those skilled in the art that the foregoing examples are for purposes of illustration only and are not intended to limit the scope of the present disclosure. It will be understood by those skilled in the art that various changes may be made in the above embodiments or equivalents may be substituted for elements thereof without departing from the scope and spirit of the present disclosure. The scope of the present disclosure is defined by the appended claims.
Claims (10)
1. An automated driving intelligent hierarchical interaction system based on driving scores, comprising: the use guide module, information acquisition module, user rating module and the hierarchical interaction module that set gradually, wherein:
the use guide module is used for guiding a user to use the automatic driving system;
the information acquisition module is used for acquiring feedback information of the user in the process of guiding the user to use the automatic driving system by the use guide module;
the user rating module is used for rating the user according to the feedback information of the user;
and the grading interaction module determines the interaction mode of the automatic driving system and the user according to the grading result of the user.
2. The hierarchical interaction system of automated driving intelligence based on driving scores of claim 1, wherein the usage guidance module is specifically configured to provide functional usage instructions and operational guidance to a user who first contacts the automated driving system, so that the user is informed of a method of using functions in the automated driving system.
3. The automated driving intelligence rating interaction system based on driving score of claim 2, wherein the usage guidance module comprises a key click unit, an information display unit and a voice prompt unit, wherein:
the key clicking unit is used for executing a key clicking function on a key related to the automatic driving system in the cabin;
the information display unit is used for responding to the click key operation of a user and displaying the dynamic operation information of the actuator related to the key;
the voice prompt unit is used for indicating the user to operate the actuator related to the key in a voice prompt mode.
4. The hierarchical interaction system of automated driving intelligence based on driving scoring as claimed in claim 1, wherein the information collection module is specifically configured to collect a time difference between when a user perceives an information alert and when a feedback is made and/or whether the user feedback is accurate via an in-vehicle sensor associated with the automated driving system.
5. The automated driving intelligent grading interaction system based on driving grades as claimed in claim 1, wherein the user grading module is configured to receive the feedback information of the user sent by the information collecting module, dynamically grade the current user through a preset algorithm, and partition the driving grade where the current user is currently located.
6. The automated driving intelligence rating interaction system based on driving scores of claim 5, wherein the rating interaction module is specifically configured to set different automated driving function permissions for users at each driving level.
7. A driving score-based automated driving intelligence rating interaction method using the system of any one of claims 1-6, comprising the steps of:
guiding a user to use the automatic driving system;
collecting feedback information of a user in the process of guiding the user to use the automatic driving system;
ranking the user according to the feedback information of the user;
and determining the interaction mode of the automatic driving system and the user according to the rating result of the user.
8. The driving score-based hierarchical interaction method for automated driving intelligence of claim 7, wherein the guiding the user to use an automated driving system specifically comprises:
executing a key click function on a key in the cabin related to the automatic driving system;
responding to the click key operation of a user, and displaying the dynamic operation information of an actuator related to the key;
and instructing the user to operate the actuator related to the key in a voice prompt mode.
9. The driving score-based hierarchical intelligent interaction method for automatic driving according to claim 7, wherein the collecting feedback information of the user in the process of guiding the user to use the automatic driving system specifically comprises:
and acquiring the time difference between the perception of the user to the information reminding and the feedback making of the user and/or whether the user feedback is accurate or not through an in-vehicle sensor related to the automatic driving system.
10. The driving score-based hierarchical interaction method for automated driving intelligence according to claim 7, wherein the ranking of the user according to the feedback information of the user comprises:
and receiving the feedback information of the user, and dynamically scoring the current user through a preset algorithm to divide the driving level of the current user.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202111173205.6A CN113844464A (en) | 2021-10-08 | 2021-10-08 | Automatic driving intelligent grading interaction system and method based on driving grading |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202111173205.6A CN113844464A (en) | 2021-10-08 | 2021-10-08 | Automatic driving intelligent grading interaction system and method based on driving grading |
Publications (1)
Publication Number | Publication Date |
---|---|
CN113844464A true CN113844464A (en) | 2021-12-28 |
Family
ID=78977635
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202111173205.6A Pending CN113844464A (en) | 2021-10-08 | 2021-10-08 | Automatic driving intelligent grading interaction system and method based on driving grading |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN113844464A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116540882A (en) * | 2023-07-07 | 2023-08-04 | 广州市德赛西威智慧交通技术有限公司 | Method and device for establishing and controlling driving training element universe and computer storage medium |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109725868A (en) * | 2018-12-28 | 2019-05-07 | 苏州思必驰信息科技有限公司 | The implementation method of the vehicle system of pure interactive voice, voice interaction device and system suitable for vehicle system |
CN110281932A (en) * | 2018-03-13 | 2019-09-27 | 本田技研工业株式会社 | Travel controlling system, vehicle, drive-control system, travel control method and storage medium |
CN112083804A (en) * | 2020-09-03 | 2020-12-15 | 中国第一汽车股份有限公司 | Guidance interaction method and device for vehicle-mounted key, vehicle and storage medium |
CN112141125A (en) * | 2020-10-28 | 2020-12-29 | 安徽江淮汽车集团股份有限公司 | Intelligent hierarchical interaction method, device and equipment for automatic driving and storage medium |
WO2021073792A1 (en) * | 2019-10-14 | 2021-04-22 | Audi Ag | Method for assisted or at least semi-automated driving of a motor vehicle |
-
2021
- 2021-10-08 CN CN202111173205.6A patent/CN113844464A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110281932A (en) * | 2018-03-13 | 2019-09-27 | 本田技研工业株式会社 | Travel controlling system, vehicle, drive-control system, travel control method and storage medium |
CN109725868A (en) * | 2018-12-28 | 2019-05-07 | 苏州思必驰信息科技有限公司 | The implementation method of the vehicle system of pure interactive voice, voice interaction device and system suitable for vehicle system |
WO2021073792A1 (en) * | 2019-10-14 | 2021-04-22 | Audi Ag | Method for assisted or at least semi-automated driving of a motor vehicle |
CN112083804A (en) * | 2020-09-03 | 2020-12-15 | 中国第一汽车股份有限公司 | Guidance interaction method and device for vehicle-mounted key, vehicle and storage medium |
CN112141125A (en) * | 2020-10-28 | 2020-12-29 | 安徽江淮汽车集团股份有限公司 | Intelligent hierarchical interaction method, device and equipment for automatic driving and storage medium |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116540882A (en) * | 2023-07-07 | 2023-08-04 | 广州市德赛西威智慧交通技术有限公司 | Method and device for establishing and controlling driving training element universe and computer storage medium |
CN116540882B (en) * | 2023-07-07 | 2024-02-02 | 广州市德赛西威智慧交通技术有限公司 | Method and device for establishing and controlling driving training element universe and computer storage medium |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
EP3272613B1 (en) | Driving assistance method, and driving assistance device, automatic driving control device, vehicle, and driving assistance program using said method | |
CN107531245B (en) | Information processing system, information processing method, and program | |
CN107531244B (en) | Information processing system, information processing method, and recording medium | |
JP6731619B2 (en) | Information processing system, information processing method, and program | |
Kircher et al. | Tactical driving behavior with different levels of automation | |
CN103732480A (en) | Method and device for assisting a driver in performing lateral guidance of a vehicle on a carriageway | |
Revell et al. | Breaking the cycle of frustration: Applying Neisser’s Perceptual Cycle Model to drivers of semi-autonomous vehicles | |
JP2012113631A (en) | Driving support system and driving support management center | |
EP2873034A2 (en) | System and method of conversational assistance for automated tasks with integrated intelligence | |
Lotz et al. | Response times and gaze behavior of truck drivers in time critical conditional automated driving take-overs | |
Tian et al. | Study on the display positions for the haptic rotary device-based integrated in-vehicle infotainment interface | |
EP2236378A1 (en) | Vehicle operation diagnosis device, vehicle operation diagnosis method and computer program | |
CN113844464A (en) | Automatic driving intelligent grading interaction system and method based on driving grading | |
WO2016170773A1 (en) | Driving assistance method, and driving assistance device, automatic driving control device, vehicle, and driving assistance program using said method | |
Kim et al. | An ecological interface design approach for developing integrated and advanced in-vehicle information system | |
Amditis et al. | Design and development of an adaptive integrated driver-vehicle interface: overview of the AIDE project | |
Lu et al. | Design of human-machine interaction interface for autonomous vehicles based on multidimensional perceptual context | |
Kuribayashi et al. | A recognition phase intervention interface to improve naturalness of autonomous driving for distracted drivers | |
Amditis et al. | System architecture for integrated adaptive HMI solutions | |
KR20210023181A (en) | Method for displaying vehicle driving information and driver information in digital clusters | |
Bubb | Traffic safety through driver assistance and intelligence | |
Thalen | ADAS for the Car of the Future | |
Spießl | Assessment and support of error recognition in automated driving | |
Liu et al. | Analysis of Driving Performance Based on Driver Experience and Vehicle Familiarity | |
Stoltz-Sundnes | Stpa-inspired safety analysis of driver-vehicle interaction in cooperative driving automation |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |