CN111907454A - Intelligent driving safety protection device - Google Patents

Intelligent driving safety protection device Download PDF

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Publication number
CN111907454A
CN111907454A CN202010852966.3A CN202010852966A CN111907454A CN 111907454 A CN111907454 A CN 111907454A CN 202010852966 A CN202010852966 A CN 202010852966A CN 111907454 A CN111907454 A CN 111907454A
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CN
China
Prior art keywords
module
risk
automobile
factors
protection device
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Pending
Application number
CN202010852966.3A
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Chinese (zh)
Inventor
李�荣
张峰玉
唐伦
吴小妮
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hunan Automotive Engineering Vocational College
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Hunan Automotive Engineering Vocational College
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Publication date
Application filed by Hunan Automotive Engineering Vocational College filed Critical Hunan Automotive Engineering Vocational College
Priority to CN202010852966.3A priority Critical patent/CN111907454A/en
Publication of CN111907454A publication Critical patent/CN111907454A/en
Pending legal-status Critical Current

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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60RVEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R21/00Arrangements or fittings on vehicles for protecting or preventing injuries to occupants or pedestrians in case of accidents or other traffic risks
    • B60R21/01Electrical circuits for triggering passive safety arrangements, e.g. airbags, safety belt tighteners, in case of vehicle accidents or impending vehicle accidents
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60QARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
    • B60Q1/00Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor
    • B60Q1/26Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to indicate the vehicle, or parts thereof, or to give signals, to other traffic
    • B60Q1/50Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to indicate the vehicle, or parts thereof, or to give signals, to other traffic for indicating other intentions or conditions, e.g. request for waiting or overtaking
    • B60Q1/503Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to indicate the vehicle, or parts thereof, or to give signals, to other traffic for indicating other intentions or conditions, e.g. request for waiting or overtaking using luminous text or symbol displays in or on the vehicle, e.g. static text
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60QARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
    • B60Q5/00Arrangement or adaptation of acoustic signal devices
    • B60Q5/005Arrangement or adaptation of acoustic signal devices automatically actuated
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60TVEHICLE BRAKE CONTROL SYSTEMS OR PARTS THEREOF; BRAKE CONTROL SYSTEMS OR PARTS THEREOF, IN GENERAL; ARRANGEMENT OF BRAKING ELEMENTS ON VEHICLES IN GENERAL; PORTABLE DEVICES FOR PREVENTING UNWANTED MOVEMENT OF VEHICLES; VEHICLE MODIFICATIONS TO FACILITATE COOLING OF BRAKES
    • B60T7/00Brake-action initiating means
    • B60T7/12Brake-action initiating means for automatic initiation; for initiation not subject to will of driver or passenger
    • B60T7/22Brake-action initiating means for automatic initiation; for initiation not subject to will of driver or passenger initiated by contact of vehicle, e.g. bumper, with an external object, e.g. another vehicle, or by means of contactless obstacle detectors mounted on the vehicle
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT 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
    • B60W10/00Conjoint control of vehicle sub-units of different type or different function
    • B60W10/04Conjoint control of vehicle sub-units of different type or different function including control of propulsion units
    • B60W10/06Conjoint control of vehicle sub-units of different type or different function including control of propulsion units including control of combustion engines
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT 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
    • B60W10/00Conjoint control of vehicle sub-units of different type or different function
    • B60W10/18Conjoint control of vehicle sub-units of different type or different function including control of braking systems
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT 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
    • B60W30/00Purposes 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, or advanced driver assistance systems for ensuring comfort, stability and safety or drive control systems for propelling or retarding the vehicle
    • B60W30/08Active safety systems predicting or avoiding probable or impending collision or attempting to minimise its consequences
    • B60W30/09Taking automatic action to avoid collision, e.g. braking and steering
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT 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
    • B60W50/00Details 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
    • B60W50/0098Details of control systems ensuring comfort, safety or stability not otherwise provided for
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT 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
    • B60W50/00Details 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
    • B60W2050/0001Details of the control system
    • B60W2050/0043Signal treatments, identification of variables or parameters, parameter estimation or state estimation
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2710/00Output or target parameters relating to a particular sub-units
    • B60W2710/06Combustion engines, Gas turbines
    • B60W2710/0605Throttle position
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2710/00Output or target parameters relating to a particular sub-units
    • B60W2710/18Braking system

Abstract

The invention relates to the technical field of intelligent driving, in particular to an intelligent driving safety protection device, which comprises: the risk factor sensing module is used for sensing the risk factors of the surrounding environment and the risk factors of the automobile state; the risk grade identification module is used for identifying the current risk grade based on a Bayesian prediction model; the emergency scheme planning module is used for planning an emergency scheme according to the result of the danger level identification, the current automobile surrounding environment factors and the automobile state factors; and the emergency scheme execution module is used for realizing the execution of the emergency scheme, carrying out danger early warning and reminding a user to switch the driving mode. The invention can find out the dangerous factors existing in the intelligent driving process of the automobile in time and provide effective protective measures at the same time.

Description

Intelligent driving safety protection device
Technical Field
The invention relates to the technical field of intelligent driving, in particular to an intelligent driving safety protection device.
Background
The intelligent driving technology is a vehicle provided with intelligent sensing equipment such as a radar, a camera and high-precision positioning navigation, and can automatically make a decision and execute operations such as vehicle acceleration, deceleration and steering through an artificial intelligence algorithm and a high-precision map so as to replace a driver to complete a specific driving task.
However, the intelligent driving still faces the examination of the complexity of the traffic road, the stability of the sensor equipment, the integrity of the intelligent driving algorithm and other aspects, the automatic driving of the intelligent automobile completely replaces the manual driving and needs a long period of time, and the automatic driving and the manual driving (namely the double-control double-driving) can be a normalized driving form in the developing, testing and verifying process. The importance of safety is always the first in the development and propulsion of smart vehicles. Therefore, it is necessary to provide a safety protection device for a smart driving vehicle to ensure the safety of the smart driving vehicle during driving.
Disclosure of Invention
In order to solve the problems, the invention provides an intelligent driving safety protection device, which can find out dangerous factors existing in the intelligent driving process of an automobile in time and provide effective protection measures.
The safe automatic driving of the electric automobile under the complex road condition can be realized.
In order to achieve the purpose, the invention adopts the technical scheme that:
an intelligent driving safety protection device, comprising:
the risk factor sensing module is used for sensing the risk factors of the surrounding environment and the risk factors of the automobile state;
the risk grade identification module is used for identifying the current risk grade based on a Bayesian prediction model;
the emergency scheme planning module is used for planning an emergency scheme according to the result of the danger level identification, the current automobile surrounding environment factors and the automobile state factors;
and the emergency scheme execution module is used for realizing the execution of the emergency scheme, carrying out danger early warning and reminding a user to switch the driving mode.
Further, the risk factor sensing module comprises
The peripheral environment risk factor sensing module is used for mining risk parameters in the peripheral environment parameters of the automobile based on a preset BP neural network model;
and the automobile state risk factor sensing module is used for mining risk parameters in the current driving state parameters of the automobile based on a preset BP neural network.
Further, the vehicle surroundings include a surrounding obstacle type parameter, a size parameter, a relative position parameter, and an obstacle speed parameter.
Further, the current running state parameters of the automobile comprise a current running speed parameter of the automobile, a wheel rotation angle parameter and working condition parameters of all actuating components.
Further, the emergency scheme execution module distributes the emergency scheme to the corresponding module according to a preset algorithm for execution, and simultaneously, the voice early warning module is started to remind a user of switching to a manual driving mode.
Further, the emergency scheme at least comprises: the method comprises the steps of firstly starting a voice early warning module installed in a vehicle to feed back dangerous conditions, reminding a user of switching to a manual driving mode, simultaneously starting an electronic display screen installed in a tail lamp to feed back dangerous conditions and conditions of speed reduction and/or lane change to remind a rear vehicle of timely speed reduction or lane change operation, and then reducing the driving speed of the vehicle to a relatively safe speed per hour within preset time.
Further, still include:
the manual driving triggering module comprises a pressure sensor and a single chip microcomputer which are arranged in a pedal, and when the value acquired by the pressure sensor exceeds a preset threshold, the manual driving mode is triggered;
the accelerator mistaken-stepping prevention module collects respective data through the radar sensor, the speed sensor and the acceleration sensor and transmits the data to the single chip microcomputer, the single chip microcomputer carries out contrastive analysis and judgment to obtain the conclusion whether the accelerator is mistakenly stepped or not, so that a corresponding instruction is sent, the oil limiting mechanism and the brake auxiliary mechanism make corresponding reactions according to the instruction, and the function of the module is completed.
The invention has the following beneficial effects:
the method can find out dangerous factors existing in the intelligent driving process of the automobile in time and provide effective protective measures.
The system fully considers the danger possibly brought by the surrounding environment data of the vehicle, the current running state parameters of the vehicle and the working condition parameters of all parts, and has an emergency scheme planning function, thereby greatly improving the safety of automatic driving.
When the automobile emergency scheme is planned, surrounding vehicle factors are introduced, so that the safety of the automobile driving mode switching process can be improved, and meanwhile, the danger brought to surrounding vehicles can be avoided as much as possible.
The manual driving mode is triggered by adopting a mode of collecting pedal pressure by a pressure sensor, and meanwhile, a corresponding accelerator mistaken-stepping prevention module is configured, so that the safety of the driving mode switching process is further improved.
Drawings
Fig. 1 is a system block diagram of an intelligent driving safety protection device according to an embodiment of the present invention.
Detailed Description
In order that the objects and advantages of the invention will be more clearly understood, the invention is further described in detail below with reference to examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, an embodiment of the present invention provides an intelligent driving safety protection device, including:
the risk factor sensing module is used for sensing the risk factors of the surrounding environment and the risk factors of the automobile state;
the risk grade identification module is used for identifying the current risk grade based on a Bayesian prediction model;
the emergency scheme planning module is used for planning an emergency scheme according to the result of the danger level identification, the current automobile surrounding environment factors and the automobile state factors by adopting a fuzzy neural network algorithm;
the emergency scheme execution module is used for implementing the execution of the emergency scheme, carrying out danger early warning and reminding a user to switch the driving mode;
the manual driving triggering module comprises a pressure sensor and a single chip microcomputer which are arranged in a pedal, and when the value acquired by the pressure sensor exceeds a preset threshold, the manual driving mode is triggered;
the accelerator mistaken-stepping prevention module collects data of the radar sensor, the speed sensor and the acceleration sensor respectively and transmits the data to the single chip microcomputer, the single chip microcomputer performs comparison, analysis and judgment to obtain a conclusion whether the accelerator is mistakenly stepped or not, so that a corresponding instruction is sent, the oil limiting mechanism and the brake auxiliary mechanism make corresponding reactions according to the instruction, the function of the module is completed, and the safety of the driving mode switching process is improved;
and the central processing module is used for coordinating the work of the modules.
In this embodiment, the risk factor sensing module includes
The peripheral environment risk factor sensing module is used for mining risk parameters in the peripheral environment parameters of the automobile based on a preset BP neural network model; the automobile surrounding environment factors comprise surrounding obstacle type parameters, size parameters, relative position parameters and obstacle speed parameters; the parameters are obtained based on surrounding environment images and barrier distance parameters which are respectively collected by a binocular vision sensor and a radar sensor which are arranged on the front side, the two sides of the automobile body and the tail of the automobile; the method comprises the steps of obtaining a saliency map of a surrounding environment image by using a saliency map detection strategy and an image segmentation method based on the saliency map, taking the saliency map as a mask image, carrying out complex background segmentation on the surrounding environment image, then realizing the detection and type identification of an obstacle in the image by using an ssd-inclusion-V3-coco model, carrying out the identification of the shape and size of the obstacle based on the length-width ratio of a connected component circumscribed rectangle, and finally realizing the output of the obstacle relative position parameter based on the distance parameter detected by a radar sensor; the ssd _ inclusion _ V3_ coco model employs an ssd target detection algorithm, with the coco dataset pre-training the inclusion _ V3 deep neural network. And then training the model by using a previously prepared data set, finely adjusting various parameters in the deep neural network, and finally obtaining a proper target detection model for detecting the obstacles.
The automobile state risk factor sensing module is used for mining risk parameters in the current driving state parameters of the automobile based on a preset BP neural network; the current running state parameters of the automobile comprise current running speed parameters of the automobile, wheel rotation angle parameters and working condition parameters of all actuating parts, such as motor working condition parameters, engine working condition parameters and the like, and are realized based on a sensor group carried in the automobile.
In this embodiment, the emergency scheme execution module allocates the emergency scheme to the corresponding module according to a preset algorithm for execution, and simultaneously starts the voice early warning module to remind the user to switch to the manual driving mode, preferably, the method further comprises starting a vibrator installed in the car seat to remind the user to check the dangerous situation in time.
In this embodiment, the emergency scheme at least includes: firstly, a voice early warning module arranged in a vehicle is started to feed back dangerous conditions, a user is reminded to switch to a manual driving mode, meanwhile, an electronic display screen arranged in a tail lamp is started to feed back dangerous conditions and conditions about deceleration and/or lane change, a rear vehicle is reminded to timely perform deceleration or lane change operation, and then the driving speed of the vehicle is reduced to a relatively safe speed per hour within a preset time; different levels of risk correspond to different safe speeds of time.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that those skilled in the art can make various improvements and modifications without departing from the principle of the present invention, and these improvements and modifications should also be construed as the protection scope of the present invention.

Claims (7)

1. The utility model provides an intelligent driving safety arrangement that drives a vehicle which characterized in that includes:
the risk factor sensing module is used for sensing the risk factors of the surrounding environment and the risk factors of the automobile state;
the risk grade identification module is used for identifying the current risk grade based on a Bayesian prediction model;
the emergency scheme planning module is used for planning an emergency scheme according to the result of the danger level identification, the current automobile surrounding environment factors and the automobile state factors;
and the emergency scheme execution module is used for realizing the execution of the emergency scheme, carrying out danger early warning and reminding a user to switch the driving mode.
2. The driving safety protection device of claim 1, wherein the risk factor sensing module comprises
The peripheral environment risk factor sensing module is used for mining risk parameters in the peripheral environment parameters of the automobile based on a preset BP neural network model;
and the automobile state risk factor sensing module is used for mining risk parameters in the current driving state parameters of the automobile based on a preset BP neural network.
3. The intelligent driving safety protection device of claim 1, wherein the environmental factors around the vehicle include the type of surrounding obstacle, the size, the relative position and the speed of the obstacle.
4. The intelligent driving safety protection device according to claim 1, wherein the current driving state parameters of the vehicle include a current driving speed parameter of the vehicle, a wheel rotation angle parameter, and operating condition parameters of each actuating component.
5. The intelligent driving safety protection device according to claim 1, wherein the emergency plan execution module allocates the emergency plan to the corresponding module for execution according to a preset algorithm, and simultaneously starts the voice early warning module to remind the user to switch to the manual driving mode.
6. The driving safety protection device of claim 1, wherein the emergency plan at least comprises: the method comprises the steps of firstly starting a voice early warning module installed in a vehicle to feed back dangerous conditions, reminding a user of switching to a manual driving mode, simultaneously starting an electronic display screen installed in a tail lamp to feed back dangerous conditions and conditions of speed reduction and/or lane change to remind a rear vehicle of timely speed reduction or lane change operation, and then reducing the driving speed of the vehicle to a relatively safe speed per hour within preset time.
7. The driving safety protection device of claim 1, further comprising:
the manual driving triggering module comprises a pressure sensor and a single chip microcomputer which are arranged in a pedal, and when the value acquired by the pressure sensor exceeds a preset threshold, the manual driving mode is triggered;
the accelerator mistaken-stepping prevention module collects respective data through the radar sensor, the speed sensor and the acceleration sensor and transmits the data to the single chip microcomputer, the single chip microcomputer carries out contrastive analysis and judgment to obtain the conclusion whether the accelerator is mistakenly stepped or not, so that a corresponding instruction is sent, the oil limiting mechanism and the brake auxiliary mechanism make corresponding reactions according to the instruction, and the function of the module is completed.
CN202010852966.3A 2020-08-22 2020-08-22 Intelligent driving safety protection device Pending CN111907454A (en)

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Application Number Priority Date Filing Date Title
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113734128A (en) * 2021-11-02 2021-12-03 杭州富阳锋拓机械有限公司 Supporting formula arresting gear that pushes down that uses of new energy automobile
CN116279568A (en) * 2023-05-16 2023-06-23 常州星宇车灯股份有限公司 Intelligent interaction system for vehicle information

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH09136573A (en) * 1995-11-15 1997-05-27 Honda Motor Co Ltd Vehicular ambient condition monitoring device
CN102826078A (en) * 2012-08-20 2012-12-19 浙江经济职业技术学院 Automobile automatic braking system and control method thereof
CN104442659A (en) * 2014-10-31 2015-03-25 成都众易通科技有限公司 Automobile security system
CN109496188A (en) * 2017-06-30 2019-03-19 北京嘀嘀无限科技发展有限公司 System and method for switching vehicle driving model
CN110356408A (en) * 2019-07-31 2019-10-22 百度在线网络技术(北京)有限公司 The determination method and device of automatic driving vehicle traveling scheme

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH09136573A (en) * 1995-11-15 1997-05-27 Honda Motor Co Ltd Vehicular ambient condition monitoring device
CN102826078A (en) * 2012-08-20 2012-12-19 浙江经济职业技术学院 Automobile automatic braking system and control method thereof
CN104442659A (en) * 2014-10-31 2015-03-25 成都众易通科技有限公司 Automobile security system
CN109496188A (en) * 2017-06-30 2019-03-19 北京嘀嘀无限科技发展有限公司 System and method for switching vehicle driving model
CN110356408A (en) * 2019-07-31 2019-10-22 百度在线网络技术(北京)有限公司 The determination method and device of automatic driving vehicle traveling scheme

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113734128A (en) * 2021-11-02 2021-12-03 杭州富阳锋拓机械有限公司 Supporting formula arresting gear that pushes down that uses of new energy automobile
CN116279568A (en) * 2023-05-16 2023-06-23 常州星宇车灯股份有限公司 Intelligent interaction system for vehicle information
CN116279568B (en) * 2023-05-16 2023-08-04 常州星宇车灯股份有限公司 Intelligent interaction system for vehicle information

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