CN107650911A - A kind of intelligent driving control system and method for vehicle - Google Patents

A kind of intelligent driving control system and method for vehicle Download PDF

Info

Publication number
CN107650911A
CN107650911A CN201710888679.6A CN201710888679A CN107650911A CN 107650911 A CN107650911 A CN 107650911A CN 201710888679 A CN201710888679 A CN 201710888679A CN 107650911 A CN107650911 A CN 107650911A
Authority
CN
China
Prior art keywords
vehicle
automatic
processor
driving control
data unit
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
Application number
CN201710888679.6A
Other languages
Chinese (zh)
Inventor
翟德
翟一德
李燕萍
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.)
Mercedes Benz Group AG
Original Assignee
DaimlerChrysler AG
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by DaimlerChrysler AG filed Critical DaimlerChrysler AG
Priority to CN201710888679.6A priority Critical patent/CN107650911A/en
Publication of CN107650911A publication Critical patent/CN107650911A/en
Pending legal-status Critical Current

Links

Classifications

    • 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
    • B60W40/00Estimation 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
    • B60W40/02Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to ambient conditions
    • B60W40/04Traffic conditions
    • 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
    • B60W40/00Estimation 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
    • B60W40/08Estimation 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
    • 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
    • B60W50/0097Predicting future conditions
    • 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
    • B60W50/08Interaction between the driver and the control system
    • B60W50/14Means for informing the driver, warning the driver or prompting a driver intervention
    • 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
    • B60W40/00Estimation 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
    • B60W40/08Estimation 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
    • B60W2040/0872Driver physiology
    • 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
    • B60W50/08Interaction between the driver and the control system
    • B60W50/14Means for informing the driver, warning the driver or prompting a driver intervention
    • B60W2050/143Alarm means
    • 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
    • B60W50/08Interaction between the driver and the control system
    • B60W50/14Means for informing the driver, warning the driver or prompting a driver intervention
    • B60W2050/146Display means
    • 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
    • B60W2540/00Input parameters relating to occupants
    • 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
    • B60W2554/00Input parameters relating to objects
    • 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
    • B60W2555/00Input parameters relating to exterior conditions, not covered by groups B60W2552/00, B60W2554/00
    • B60W2555/20Ambient conditions, e.g. wind or rain
    • 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
    • B60W2555/00Input parameters relating to exterior conditions, not covered by groups B60W2552/00, B60W2554/00
    • B60W2555/60Traffic rules, e.g. speed limits or right of way

Landscapes

  • 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

The present invention relates to a kind of intelligent driving control system for vehicle, the system may include:Sensor unit, the ambient parameter that the sensor unit is used for around collection vehicle;Weather data unit, the weather data unit are used to obtain real-time weather situation and the weather forecast on the road and navigation way of vehicle current driving on the way;Highway traffic data unit, the highway traffic data unit are used for the traffic for obtaining road;Processor, the processor receives the information obtained by the sensor unit, the weather data unit and the highway traffic data unit to judge whether to be appropriate for automatic Pilot based on these information, and exports corresponding control instruction according to judged result;Driving model controller, the driving model controller receives the control instruction from the processor, and the control instruction in response to being received performs corresponding Driving control.The invention further relates to a kind of intelligent driving control method for vehicle.

Description

A kind of intelligent driving control system and method for vehicle
Technical field
The present invention relates to Vehicular automatic driving field, more particularly it relates to which a kind of intelligence for vehicle is driven Sail control system and method.
Background technology
Automobile passes through various sensors (such as radar, shooting first-class) identification vehicle-surroundings obstacle under automatic driving mode Thing.Due to reasons such as technology, weather, sensor not always can correctly identify barrier, it is thus possible to vehicle-surroundings ring Erroneous judgement is made in border, causes automobile timely and effectively to make corresponding be operated such that and causes traffic accident.
In addition, under pilot steering pattern, when the condition of driver is bad, continuing that pilot steering has very much can It can cause security incident.
The content of the invention
For the above-mentioned problems in the prior art, the present invention provides a kind of intelligent driving control system for vehicle And method, it directly can not only be adopted when analyzing automatic Pilot reliability using sensor cluster on vehicle etc. Collect car external environment data, can also read vehicle current driving road in real time by means of highway traffic data unit, weather data unit Know traffic on the way and weather conditions on navigation way on road or in advance, received in advance by the device in addition to sensor cluster The traffic data collected identifies traffic congestion, traffic accident, natural calamity etc., so as in advance judge whether to be appropriate for " from It is dynamic to drive ".In the case where judging that vehicle is not suitable for carrying out " automatic Pilot ", the system according to the present invention can be sent to driver Voice or alarm sounds, and vehicle is switched to pilot steering pattern from automatic driving mode, to reduce accident rate.
According to an aspect of the present invention, there is provided a kind of intelligent driving control system for vehicle, the system may include: Sensor unit, the ambient parameter that the sensor unit is used for around collection vehicle;Weather data unit, the weather data unit Real-time weather situation on the way and weather forecast on road and navigation way for obtaining vehicle current driving;Road traffic number According to unit, the highway traffic data unit is used for the traffic for obtaining road;Processor, the processor are received by the sensing The information that device unit, the weather data unit and the highway traffic data unit obtain based on these information to be judged whether Automatic Pilot is appropriate for, and corresponding control instruction is exported according to judged result;Driving model controller, the driving model Controller receives the control instruction from the processor, and the control instruction in response to being received performs corresponding drive and controlled System.
Advantageously, the control instruction can be the output result related to automatic Pilot reliability, when the output knot When fruit is more than threshold value set in advance, the driving model controller starts/continue automatic driving mode;When the output result During less than or equal to threshold value set in advance, the driving model controller closing/do not start automatic driving mode.
Advantageously, the system may also include the alarm device for receiving the output result from the processor, when next When being less than or equal to threshold value set in advance from the output result of the processor, the alarm device sends voice to driver Or alarm sounds.
Advantageously, the system may also include physiological driver's state of the body physiological parameter for monitoring driver in real time Monitoring unit, in the case where judging to be not suitable for carrying out automatic Pilot, the processor is based further on by the driver The information that physiological status monitoring unit obtains exports accordingly to judge whether to be appropriate for pilot steering according to judged result Control instruction.
Advantageously, the system may also include controller of parking, if the processor judges to be not suitable for carrying out pilot steering, Then the processor sends control instruction to force vehicle to carry out automatic parking to the controller of parking.
According to another aspect of the present invention, there is provided a kind of intelligent driving control method for vehicle, it includes following step Suddenly:Utilize the ambient parameter around sensor unit collection vehicle;The traffic shape of road is obtained using highway traffic data unit Condition;The real-time weather situation and weather on the road and navigation way of vehicle current driving on the way are obtained using weather data unit Forecast;Based on the acquired information relevant with the ambient parameter of vehicle periphery, traffic, weather condition and weather forecast come Judge whether to be appropriate for automatic Pilot;In response to coming to perform accordingly vehicle if appropriate for the judged result for carrying out automatic Pilot Driving control.
Further, it is if it is judged that being appropriate for automatic Pilot, then automatic by driving model controller startup/continuation Driving model.
Further, if it is judged that being not suitable for carrying out automatic Pilot, then alarm is sent, and utilize physiological driver's shape State monitoring unit monitors the physiological parameter of driver.
According to a preferred embodiment, this method may also include:Based on the physiological parameter of driver come judge whether to be adapted into Row pilot steering, if be adapted to, switch to/continue pilot steering.
Further, if not suitable for pilot steering is carried out, then automatic parking operation is started.
According to above-mentioned intelligent driving control system and method according to the present invention, except paying the utmost attention to may influence " automatically Drive " external factor beyond, also time selection of land considers that the human factor of " pilot steering " may be influenceed, so as to be both not suitable for into Row " automatic Pilot " is also not suitable for carrying out " pilot steering " in particular cases, forces vehicle automatic parking or according to current scene Start vehicle proactive security measures, so as to farthest reduce accident rate.
Brief description of the drawings
Embodiments of the invention are further described hereinafter with reference to accompanying drawing, in the accompanying drawings:
Fig. 1 shows the structure of the intelligent driving control system for vehicle according to the first exemplary embodiment of the present invention Figure;
Fig. 2 is shown based on the system shown in Fig. 1 to perform the flow chart of the method for the intelligent driving control for vehicle;
Fig. 3 shows the structure of the intelligent driving control system for vehicle according to the second exemplary embodiment of the present invention Figure;
Fig. 4 is shown based on the system shown in Fig. 3 to perform the flow chart of the method for the intelligent driving control for vehicle.
Embodiment
Control system below with reference to accompanying drawings and by embodiment come the intelligent driving for vehicle described according to the present invention System and method.In the following description, many details are elaborated to make person of ordinary skill in the field more comprehensively Ground understands the present invention.But for the technical staff in art it is evident that the realization of the present invention can not have this Some in details a bit.Conversely, it may be considered that implement the present invention with any combination of following feature and key element, and nothing Whether it is related to different embodiments by them.Therefore, method, feature, embodiment and advantage below be used for illustrative purposes only without Key element or the restriction of claim are should be considered as, unless clearly proposing in the claims.
Fig. 1 shows the structure chart of the intelligent driving control system for vehicle according to a first embodiment of the present invention.Such as Shown in Fig. 1, the system includes being used for the information acquisition module 10 for obtaining the various information that can influence automatic Pilot reliability, The information acquisition module 10 includes but is not limited to:For the sensor unit 20 of the ambient parameter around collection vehicle, such as thunder Reach, camera, optical sensor etc.;For obtaining the reality of the road and navigation way set in advance of vehicle current driving on the way When weather condition and weather forecast weather data unit 30;And for utilizing the real-time road data or electricity such as high in the clouds storage The road conditions of platform Traffic Announcement are reported to obtain the highway traffic data unit 40 of the traffic of road.
In addition, the intelligent driving control system for vehicle according to a first embodiment of the present invention may also include processor 50, it is relevant that processor 50 receives the ambient parameter, weather condition, traffic data with vehicle periphery etc. from information acquisition module 10 Information, and based on these informixs judge whether to be appropriate for automatic Pilot (that is, whether automatic driving mode reliable) with Corresponding control operation is performed to vehicle.
For example, road excessively congestion, ice and snow weather or vehicle front visibility it is too low when, processor 50 can be sentenced Determine vehicle to be not suitable for carrying out automatic Pilot, so as to send instruction to control driving model controller 70 from automatic driving mode to switch To pilot steering pattern (in the case where vehicle is currently at automatic driving mode), or instruction is not sent to continue people Work is driven (in the case where vehicle is currently at pilot steering pattern).According to the embodiment, intelligent driving control system may be used also Including alarm device 60, in the case where vehicle is currently at automatic driving mode, when processor 50 judge vehicle be not suitable for into During row automatic Pilot, processor 50 can control alarm device 60 to send alarm or voice message, be driven with reminding driver to take over Operation.
In another example if processor 50 judges that vehicle is appropriate for automatic Pilot, it sends instruction to control driving mould Formula controller 70 (is currently at the situation of pilot steering pattern from pilot steering pattern switching to automatic driving mode in vehicle Under), or do not send instruction to continue automatic Pilot (in the case where vehicle is currently at automatic driving mode).
In specific practice, processor 50 receives the various information that can influence automatic Pilot reliability, dynamically divides Analyse these information and produce an output result related to automatic Pilot reliability, only set in advance when the output result is more than During fixed threshold value, automatic driving mode is just allowed to enable.In the case where vehicle is currently in automatic driving mode, when defeated Go out result and show automatic Pilot reliability when being less than or equal to threshold value set in advance, processor 50 is by alarm device 60 to driving The person of sailing sends voice or alarm sounds, and vehicle is switched to manually from automatic driving mode by driving model controller 70 Driving model, to reduce accident rate.
Fig. 2 shows the flow of the method for the intelligent driving control for being used to perform vehicle according to a first embodiment of the present invention Figure.The specific of the method for the intelligent driving control for vehicle is described in detail below with reference to the step S101 to S106 in Fig. 2 Flow.
First, in step S101, by the ambient parameter around sensor unit collection vehicle.In step s 102, The traffic of road is obtained using highway traffic data unit.In step s 103, vehicle is obtained using weather data unit The road of current driving and navigation way set in advance real-time weather conditions on the way and weather forecast.It should be noted here that It is that step S101, S102, S103 are not limited to perform by above-mentioned order, but can be carried out by other order or simultaneously.
Then, in step S104, based on the acquired environment with vehicle periphery in step S101, S102, S103 The relevant information such as parameter, weather condition, traffic data judges whether to fit into automatic driving mode.If step S104 Judged result be "Yes", then start/switch to automatic driving mode in step S105 and (be currently at pilot steering in vehicle In the case of pattern), or continue automatic driving mode (in the case where vehicle is currently at automatic driving mode).If Step S104 judged result is "No", then sends alarm in step s 106, and thus do not start automatic driving mode ( In the case that vehicle is currently at pilot steering pattern), or close automatic driving mode/from automatic driving mode and switch to people Work driving model (in the case where vehicle is currently at automatic driving mode).
Specifically, in step S104, dynamically analysis can influence the various information of automatic Pilot reliability, and produce One output result related to automatic Pilot reliability.Only when the output result is more than threshold value set in advance, automatically Driving model is just allowed to enable.In the case where vehicle is currently in automatic driving mode, when output result is shown automatically When Driving reliability is less than or equal to threshold value set in advance, voice or alarm sounds are sent to driver by alarm device, And vehicle is set to switch to pilot steering pattern from automatic driving mode by driving model controller.
Fig. 3 shows the structure chart of the intelligent driving control system for vehicle according to a second embodiment of the present invention.With The difference of first embodiment described in Fig. 1 is, also includes physiological driver according to the system of the second embodiment Condition Monitoring Unit 90 and automatic parking controller 80.Hereafter come only for the two modules newly established to according to the present invention the The intelligent driving control system of two embodiments is illustrated.
Physiological driver's Condition Monitoring Unit 90 is used for the body physiological parameter for monitoring driver in real time, such as blood pressure, arteries and veins Fight, breathe, number of winks etc. may influence the physiological parameter of driver's normal operating vehicle.With that may be influenceed automatically for obtaining The information acquisition module 10 of the various information of Driving reliability is on the contrary, physiological driver's Condition Monitoring Unit 90 is used to obtain possibility Influence the various information of pilot steering reliability.Processor 50 is based respectively on from information acquisition module 10 and physiological driver's shape The information of state monitoring unit 90 judges whether to be appropriate for automatic Pilot and if appropriate for pilot steering is carried out, and is based on pin " automatic Pilot " and " pilot steering " respective result of determination is come to perform corresponding Driving control to vehicle.
Specifically, if processor 50 judges that vehicle is appropriate for " automatic Pilot ", it sends instruction and driven with controlling Mode controller 70 (is currently at the situation of pilot steering pattern from pilot steering pattern switching to automatic driving mode in vehicle Under), or do not send instruction to continue automatic Pilot (in the case where vehicle is currently at automatic driving mode);If Processor 50 judges that vehicle is not suitable for carrying out " automatic Pilot " and being appropriate for " pilot steering ", then it sends instruction and driven with controlling Sail mode controller 70 and switch to pilot steering pattern from automatic driving mode and (be currently at the feelings of automatic driving mode in vehicle Under condition), or instruction is not sent to continue pilot steering (in the case where vehicle is currently at pilot steering pattern;Such as Fruit processor 50 judges that vehicle is neither appropriate for " automatic Pilot " and is also not suitable for carrying out " pilot steering ", then it is to automatic parking Controller 80 sends instruction and provides the time of having a rest to force vehicle automatic parking for driver or driver is being parked Corresponding help (such as looking for generation to drive) can be sought afterwards, or vehicle automatic safe measure is started according to current scene, thus Accident rate can farthest be reduced.
Fig. 4 shows the flow of the method for the intelligent driving control for being used to perform vehicle according to a second embodiment of the present invention Figure.The difference of this method and the method in Fig. 2 first embodiment is, except considering may to influence " automatic Pilot " Beyond factor, also need to consider the factor that may influence " pilot steering ".Hereafter only for the difference step S107 to S110 in Fig. 4 To describe the idiographic flow of the intelligent driving control method for vehicle according to a second embodiment of the present invention.
It is similar with the method in Fig. 2, if step S104 judged result is "Yes", starts in step S105/cut Automatic driving mode (in the case where vehicle is currently at pilot steering pattern) is shifted to, or continues automatic driving mode (in the case where vehicle is currently at automatic driving mode).If step S104 judged result is "No", in step Alarm is sent in S106, and utilizes the physiology ginseng of physiological driver's Condition Monitoring Unit monitoring driver in step s 107 Number.
Then in step S108, based on judging whether to be adapted in the physiological status of the driver acquired in step S107 Carry out pilot steering.If step S108 judged result is "Yes", in step s 110 close automatic driving mode/from from Dynamic driving model switches to pilot steering pattern (in the case where vehicle is currently at automatic driving mode), or continues Pilot steering (in the case where vehicle is currently at pilot steering pattern).If step S108 judged result is "No", Start automatic parking operation in step S109, to provide the time of having a rest for driver or enable a driver to ask for help.
In addition to said structure, video camera filter may also include (not according to the intelligent driving control system of the present invention Show), and sensor unit 20 may also include light intensity sensor (not shown), when the illumination detected by light intensity sensor is strong When degree is higher than predetermined threshold, the system according to the present invention can activate video camera filter to filter light and reduce intensity of illumination So as to avoid camera blinding, while alarm is alternatively sent to remind driver careful or force to make vehicle from driving automatically Pattern switching is sailed to pilot steering pattern.
Additionally or alternatively, high and low two kinds of detection means may include (not according to the intelligent driving control system of the present invention Show) --- such as sensor or radar, higher detection means be arranged at the front upper place of vehicle for detection can not by compared with The obstacle that low detection means (such as millimetre-wave radar below preceding grid) detects.Under automatic driving mode, Limited by vertical angle of view scope, may be because although front truck is in the distance range that relatively low detection means is perceived Front vehicles vehicle body is higher, and the radar beam of relatively low detection dress passes through on the downside of vehicle body, causes missing inspection.In this case, this Class obstacle can be detected by the higher detection means of installation site.When higher detection means detects obstacle, its Alarm signal is produced to remind driver careful, and alternatively switches back into pilot steering pattern.
In summary, according to the intelligent driving control system and method for vehicle of the present invention, in analysis automatic Pilot During reliability, the sensor cluster being arranged on vehicle not only can be directly utilized --- such as outside camera, radar collecting vehicle Environmental data, can also be read in real time by means of highway traffic data unit, weather data unit on vehicle current driving road or Traffic on the way and the weather conditions on navigation way are known in advance, are collected into advance by the device in addition to sensor cluster Traffic data identifies traffic congestion, traffic accident, natural calamity etc., so as to judge whether to be appropriate for " driving automatically in advance Sail ".
Receive it is above-mentioned may influence the various information of automatic Pilot reliability after, the system according to the present invention is movable Analyze to state these information and produce an output result related to automatic Pilot reliability, only when the output result is more than During threshold value set in advance, automatic driving mode is just allowed to enable.The situation of automatic driving mode is currently in vehicle Under, when output result shows that automatic Pilot reliability is less than or equal to threshold value set in advance, the system is sent to driver Voice or alarm sounds, and vehicle is switched to pilot steering pattern from automatic driving mode, to reduce accident rate.
In addition, in addition to paying the utmost attention to that the external factor of " automatic Pilot " may be influenceed, the present invention also time selection of land considers The human factor of " pilot steering " may be influenceed, so as to be also not suitable for " manually drive being neither appropriate for " automatic Pilot " Sail " in particular cases, force vehicle automatic parking or vehicle proactive security measures are started according to current scene.It is described herein " secondary choosing " mean, pay the utmost attention to if appropriate for carry out " automatic Pilot ", if be adapted to, do not have to consider whether to meet " pilot steering " condition and be directly entered automatic driving mode;If not suitable for " automatic Pilot " is carried out, then consider further that whether fit Close and carry out " pilot steering ", be unsatisfactory for " automatic Pilot " condition in the case of meeting " pilot steering " condition, entering vehicle Enter pilot steering pattern;In the case where being both unsatisfactory for " automatic Pilot " condition or being unsatisfactory for " pilot steering " condition, start car Emergency measure, such as automatic parking or other vehicle proactive security measures are performed, so as to farthest reduce accident Rate.
It will be apparent to a skilled person that above-mentioned be judged to being appropriate for " automatic Pilot " or " pilot steering " Condition can voluntarily be set by car owner, or default setting is carried out in vehicle release, and the condition is not limited to listed above Those lifted.
One of ordinary skill in the art will appreciate that:Although only emphasis is illustrated based on vehicle periphery in the embodiment above Ambient parameter, road traffic condition and weather conditions determine whether to be appropriate for " automatic Pilot ", but the application does not arrange Judged except other any parameters that may influence automatic Pilot can also be used, and be not excluded for including other corresponding inspections Survey unit.
Herein, the implication of " intelligence " Driving control refers to, vehicle can be according to surrounding environment and physiological driver's shape Condition independently selects driving model, and driving model here is not limited only to " pilot steering " and " autonomous driving " pattern, in addition to It is it assures that the operation of vehicle safety, such as parks, triggers brake etc..
In this application, it will appreciated by the skilled person that disclosed system can be by another way Realize.For example, system embodiment described above is only schematical, for example, the division of the module is only one Kind of division of logic function, can there is an other dividing mode when actually realizing, for example, multiple modules function can combine or The function of some module can further be split.Sensor unit, day destiny in the intelligent driving control system of the application According to unit, highway traffic data unit, processor, physiological driver's Condition Monitoring Unit, alarm device, automatic parking controller And driving model controller etc. can be integrated in a processing unit or modules are individually physically present, and also may be used It is integrated in a unit with two or more modules.Above-mentioned integrated module can both be realized in the form of hardware, It can also be realized, or can be realized in the form of soft and hardware combination in the form of SFU software functional unit.
If the integrated unit is realized in the form of hardware function units, modules are real using hardware logic The circuit-level hardware of existing specific function, and the annexation between each hardware is clear and definite hardware annexation.The application The electrical connection between network connection and each module between host computer is realized using above-mentioned hardware, and completes signal biography Send and operated with processing.
If the integrated unit is realized in the form of SFU software functional unit and is used as independent production marketing or use When, it can be stored in a computer read/write memory medium.Based on such understanding, the technical scheme of the application is substantially The part to be contributed in other words to prior art or all or part of the technical scheme can be in the form of software products Embody, the computer software product is stored in a storage medium, including some instructions are causing a computer Equipment (can be personal computer, server, or network equipment etc.) or processor (processor) or microcontroller (microcontroller unit) performs all or part of step of each embodiment methods described of the application.
One of ordinary skill in the art will appreciate that:Realizing all or part of step of above-mentioned each method embodiment can lead to The related hardware of programmed instruction is crossed to complete.Foregoing program can be stored in a computer read/write memory medium.The journey Sequence upon execution, execution the step of including above-mentioned each method embodiment;And foregoing storage medium includes:ROM, RAM, magnetic disc or Person's CD etc. is various can be with the medium of store program codes.In each method embodiment of the present invention, the sequence number of each step is simultaneously It cannot be used for limiting the sequencing of each step, for those of ordinary skill in the art, do not paying creative work Under the premise of, the priority change to each step is also within protection scope of the present invention.
Although the present invention is disclosed as above with preferred embodiment, the present invention is not limited to this.Any people in the art Member, the various changes made without departing from the spirit and scope of the present invention and modification, all should include protection scope of the present invention It is interior, therefore protection scope of the present invention should be defined by claim limited range.

Claims (10)

1. a kind of intelligent driving control system for vehicle, it is characterised in that the system includes:
Sensor unit (20), the ambient parameter that the sensor unit is used for around collection vehicle;
Weather data unit (30), the weather data unit are used to obtain on the road and navigation way of vehicle current driving on the way Real-time weather situation and weather forecast;
Highway traffic data unit (40), the highway traffic data unit are used for the traffic for obtaining road;
Processor (50), the processor are received by the sensor unit, the weather data unit and the road traffic number The information obtained according to unit exports phase to judge whether to be appropriate for automatic Pilot based on these information according to judged result The control instruction answered;
Driving model controller (70), the driving model controller receives the control instruction from the processor, and responds Corresponding Driving control is performed in the control instruction received.
2. the intelligent driving control system according to claim 1 for vehicle, it is characterised in that the control instruction is One output result related to automatic Pilot reliability, it is described to drive when the output result is more than threshold value set in advance Sail mode controller start/continue automatic driving mode;When the output result is less than or equal to threshold value set in advance, institute State driving model controller close/do not start automatic driving mode.
3. the intelligent driving control system according to claim 2 for vehicle, it is characterised in that the system also includes using In the alarm device (60) for receiving the output result from the processor, be less than when the output result from the processor or During equal to threshold value set in advance, the alarm device sends voice or alarm sounds to driver.
4. the intelligent driving control system according to claim 1 for vehicle, it is characterised in that the system also includes using In physiological driver's Condition Monitoring Unit (90) of the body physiological parameter of monitoring driver in real time, judging to be not suitable for progress In the case of automatic Pilot, the processor be based further on by physiological driver's Condition Monitoring Unit obtain information Lai Judge whether to be appropriate for pilot steering, and corresponding control instruction is exported according to judged result.
5. the intelligent driving control system according to claim 4 for vehicle, it is characterised in that the system also includes pool Vehicle controller (80), if the processor judges to be not suitable for carrying out pilot steering, the processor is to the control of parking Device sends control instruction to force vehicle to carry out automatic parking.
6. a kind of intelligent driving control method for vehicle, it is characterised in that this method comprises the following steps:
Utilize the ambient parameter (S101) around sensor unit collection vehicle;
The traffic (S102) of road is obtained using highway traffic data unit;
The real-time weather situation and day on the road and navigation way of vehicle current driving on the way are obtained using weather data unit Gas forecasts (S103);
Based on the acquired information relevant with the ambient parameter of vehicle periphery, traffic, weather condition and weather forecast come Judge whether to be appropriate for automatic Pilot (S104);
In response to coming to perform corresponding Driving control to vehicle if appropriate for the judged result for carrying out automatic Pilot.
7. the intelligent driving control method according to claim 6 for vehicle, it is characterised in that if it is judged that being adapted to Automatic Pilot is carried out, then starts/continue automatic driving mode (S105) by driving model controller.
8. the intelligent driving control method according to claim 6 for vehicle, it is characterised in that if it is judged that uncomfortable Close and carry out automatic Pilot, then send alarm (S106), and utilize the life of physiological driver's Condition Monitoring Unit monitoring driver Manage parameter (S107).
9. the intelligent driving control method according to claim 8 for vehicle, it is characterised in that this method also includes, Judge whether to be appropriate for pilot steering (S108) based on the physiological parameter of driver, if be adapted to, switch to/continue people Work drives (S110).
10. the intelligent driving control method according to claim 9 for vehicle, it is characterised in that if not suitable for entering Row pilot steering, then start automatic parking operation (S109).
CN201710888679.6A 2017-09-27 2017-09-27 A kind of intelligent driving control system and method for vehicle Pending CN107650911A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710888679.6A CN107650911A (en) 2017-09-27 2017-09-27 A kind of intelligent driving control system and method for vehicle

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710888679.6A CN107650911A (en) 2017-09-27 2017-09-27 A kind of intelligent driving control system and method for vehicle

Publications (1)

Publication Number Publication Date
CN107650911A true CN107650911A (en) 2018-02-02

Family

ID=61116957

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710888679.6A Pending CN107650911A (en) 2017-09-27 2017-09-27 A kind of intelligent driving control system and method for vehicle

Country Status (1)

Country Link
CN (1) CN107650911A (en)

Cited By (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108399776A (en) * 2018-03-06 2018-08-14 苏州登阳信息技术有限公司 A kind of automatic Pilot link allocation system based on road mode
CN108427417A (en) * 2018-03-30 2018-08-21 北京图森未来科技有限公司 Automatic driving control system and method, computer server and automatic driving vehicle
CN109032144A (en) * 2018-08-21 2018-12-18 武汉理工大学 A kind of driver's personalized driving characteristic learning system based on big data
CN109035834A (en) * 2018-09-20 2018-12-18 北京海纳川汽车部件股份有限公司 Disaster alarm reminding method, system and the automatic driving vehicle of automatic driving vehicle
CN109720352A (en) * 2018-12-25 2019-05-07 斑马网络技术有限公司 Vehicle drive auxiliary control method and equipment
CN109795505A (en) * 2018-12-10 2019-05-24 北京百度网讯科技有限公司 Automatic Pilot method of discrimination, device, computer equipment and storage medium
CN109808615A (en) * 2019-03-22 2019-05-28 北京经纬恒润科技有限公司 A kind of automatic Pilot method and device
CN109823338A (en) * 2019-03-28 2019-05-31 南京航空航天大学 A kind of automobile active safety early warning system based on comprehensive evaluation index
CN110053629A (en) * 2019-05-07 2019-07-26 广州小鹏汽车科技有限公司 Interaction control method, device, electronic equipment and storage medium
CN110174856A (en) * 2018-02-21 2019-08-27 现代自动车株式会社 The driving mode switch device and method and Vehicular system of vehicle
CN110264720A (en) * 2019-06-28 2019-09-20 腾讯科技(深圳)有限公司 Driving mode reminding method, device, equipment and storage medium
CN110262516A (en) * 2019-07-17 2019-09-20 深圳市英博超算科技有限公司 Vehicle, method and device with Function for Automatic Pilot
CN110254440A (en) * 2019-05-24 2019-09-20 深圳市轱辘汽车维修技术有限公司 A kind of assisting automobile driver method, device for assisting automobile driver and electronic equipment
CN110780358A (en) * 2019-10-23 2020-02-11 重庆长安汽车股份有限公司 Method, system, computer-readable storage medium and vehicle for autonomous driving weather environment recognition
CN110884500A (en) * 2019-10-31 2020-03-17 苏州智加科技有限公司 Method and device for controlling vehicle, electronic equipment and storage medium
WO2020052277A1 (en) * 2018-09-14 2020-03-19 广州汽车集团股份有限公司 Method and apparatus for controlling vehicle and autonomous vehicle
CN111026111A (en) * 2019-11-29 2020-04-17 上海电机学院 Automobile intelligent driving control system based on 5G network
CN111524347A (en) * 2020-04-13 2020-08-11 东风柳州汽车有限公司 Pre-intervention remote control parking control method
CN112319504A (en) * 2020-10-30 2021-02-05 广州小鹏汽车科技有限公司 Control method, control device, vehicle, and storage medium
CN112406871A (en) * 2020-11-30 2021-02-26 广西玉柴机器股份有限公司 Intelligent driving system and method
CN113428168A (en) * 2020-03-19 2021-09-24 上海擎感智能科技有限公司 Control method, system and medium for automatically driving vehicle and automobile
CN113479216A (en) * 2020-03-16 2021-10-08 本田技研工业株式会社 Control device, system, computer-readable storage medium, and control method
CN116583451A (en) * 2020-12-07 2023-08-11 梅赛德斯-奔驰集团股份公司 Method for controlling an automated driving operation of a vehicle

Cited By (31)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110174856A (en) * 2018-02-21 2019-08-27 现代自动车株式会社 The driving mode switch device and method and Vehicular system of vehicle
CN108399776A (en) * 2018-03-06 2018-08-14 苏州登阳信息技术有限公司 A kind of automatic Pilot link allocation system based on road mode
CN108427417A (en) * 2018-03-30 2018-08-21 北京图森未来科技有限公司 Automatic driving control system and method, computer server and automatic driving vehicle
CN109032144A (en) * 2018-08-21 2018-12-18 武汉理工大学 A kind of driver's personalized driving characteristic learning system based on big data
CN111194287B (en) * 2018-09-14 2021-02-05 广州汽车集团股份有限公司 Method and apparatus for controlling vehicle and autonomously driving vehicle
WO2020052277A1 (en) * 2018-09-14 2020-03-19 广州汽车集团股份有限公司 Method and apparatus for controlling vehicle and autonomous vehicle
CN111194287A (en) * 2018-09-14 2020-05-22 广州汽车集团股份有限公司 Method and apparatus for controlling vehicle and autonomously driving vehicle
CN109035834A (en) * 2018-09-20 2018-12-18 北京海纳川汽车部件股份有限公司 Disaster alarm reminding method, system and the automatic driving vehicle of automatic driving vehicle
CN109795505A (en) * 2018-12-10 2019-05-24 北京百度网讯科技有限公司 Automatic Pilot method of discrimination, device, computer equipment and storage medium
US11173927B2 (en) 2018-12-10 2021-11-16 Beijing Baidu Netcom Science And Technology Co., Ltd. Method, apparatus, computer device and storage medium for autonomous driving determination
CN109720352A (en) * 2018-12-25 2019-05-07 斑马网络技术有限公司 Vehicle drive auxiliary control method and equipment
CN109808615A (en) * 2019-03-22 2019-05-28 北京经纬恒润科技有限公司 A kind of automatic Pilot method and device
CN109823338A (en) * 2019-03-28 2019-05-31 南京航空航天大学 A kind of automobile active safety early warning system based on comprehensive evaluation index
CN110053629A (en) * 2019-05-07 2019-07-26 广州小鹏汽车科技有限公司 Interaction control method, device, electronic equipment and storage medium
CN110254440A (en) * 2019-05-24 2019-09-20 深圳市轱辘汽车维修技术有限公司 A kind of assisting automobile driver method, device for assisting automobile driver and electronic equipment
CN110264720A (en) * 2019-06-28 2019-09-20 腾讯科技(深圳)有限公司 Driving mode reminding method, device, equipment and storage medium
CN110262516A (en) * 2019-07-17 2019-09-20 深圳市英博超算科技有限公司 Vehicle, method and device with Function for Automatic Pilot
CN110780358A (en) * 2019-10-23 2020-02-11 重庆长安汽车股份有限公司 Method, system, computer-readable storage medium and vehicle for autonomous driving weather environment recognition
CN110884500A (en) * 2019-10-31 2020-03-17 苏州智加科技有限公司 Method and device for controlling vehicle, electronic equipment and storage medium
CN111026111A (en) * 2019-11-29 2020-04-17 上海电机学院 Automobile intelligent driving control system based on 5G network
CN113479216A (en) * 2020-03-16 2021-10-08 本田技研工业株式会社 Control device, system, computer-readable storage medium, and control method
CN113479216B (en) * 2020-03-16 2024-03-29 本田技研工业株式会社 Control device, system, computer-readable storage medium, and control method
CN113428168A (en) * 2020-03-19 2021-09-24 上海擎感智能科技有限公司 Control method, system and medium for automatically driving vehicle and automobile
CN113428168B (en) * 2020-03-19 2022-11-15 上海擎感智能科技有限公司 Control method, system and medium for automatically driving vehicle and automobile
CN111524347A (en) * 2020-04-13 2020-08-11 东风柳州汽车有限公司 Pre-intervention remote control parking control method
CN111524347B (en) * 2020-04-13 2022-05-06 东风柳州汽车有限公司 Pre-intervention remote control parking control method
CN112319504A (en) * 2020-10-30 2021-02-05 广州小鹏汽车科技有限公司 Control method, control device, vehicle, and storage medium
CN112319504B (en) * 2020-10-30 2022-12-13 广州小鹏汽车科技有限公司 Control method, control device, vehicle, and storage medium
CN112406871A (en) * 2020-11-30 2021-02-26 广西玉柴机器股份有限公司 Intelligent driving system and method
CN116583451A (en) * 2020-12-07 2023-08-11 梅赛德斯-奔驰集团股份公司 Method for controlling an automated driving operation of a vehicle
CN116583451B (en) * 2020-12-07 2023-11-17 梅赛德斯-奔驰集团股份公司 Method for controlling an automated driving operation of a vehicle

Similar Documents

Publication Publication Date Title
CN107650911A (en) A kind of intelligent driving control system and method for vehicle
US11511752B2 (en) Method and system for risk based driving mode switching in hybrid driving
US20200192360A1 (en) Method and system for driving mode switching based on self-aware capability parameters in hybrid driving
US11021101B2 (en) Method and system for augmented alerting based on driver's state in hybrid driving
US11713060B2 (en) Systems and methods for remote monitoring of a vehicle, robot or drone
JP7246875B2 (en) Safety control of networked autonomous vehicles
WO2018058957A1 (en) Intelligent vehicle-road cooperation traffic control system
US8976040B2 (en) Intelligent driver assist system based on multimodal sensor fusion
CN106251701A (en) Based on the vehicle rearview monitor and alarm system and the method that rotate zoom multi-cam
CN104730949A (en) Affective user interface in an autonomous vehicle
CN109844450B (en) Sorting device, sorting method, and recording medium
CN104134360A (en) Intersection pedestrian recognition safety control system and method based on short-range communication
US20200377113A1 (en) Systems and methods for autonomous vehicles
CN112606831A (en) Anti-collision warning information external interaction method and system for passenger car
CN107424424A (en) The DAS (Driver Assistant System) and auxiliary driving method and vehicle of Chinese herbaceous peony road conditions based on vehicle
EP3727984A1 (en) Method and system for risk based driving mode switching in hybrid driving
CN109615873A (en) A kind of wisdom traffic pedestrian protection and its application method
CN112351154B (en) Unmanned vehicle road condition identification system
EP3729398A1 (en) Method and system for risk control in switching driving mode
CN113066261A (en) Automobile automatic braking and alarming system and method for sudden disease of driver
CN113183982A (en) Method and device for generating driving route of vehicle and automatic driving vehicle
CN111252063A (en) Novel automobile active safety control system and method
CN109191913A (en) Pedestrian detection method, device, computer equipment and storage medium
WO2022237863A1 (en) Vehicle control method, vehicle control system, and vehicle having smart driving function
CN116039583A (en) Vehicle braking method and device, vehicle and storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
WD01 Invention patent application deemed withdrawn after publication
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20180202