CN106677569A - Optimal parking space selection system based on physiological characteristics of driver and GPS - Google Patents

Optimal parking space selection system based on physiological characteristics of driver and GPS Download PDF

Info

Publication number
CN106677569A
CN106677569A CN201710067643.1A CN201710067643A CN106677569A CN 106677569 A CN106677569 A CN 106677569A CN 201710067643 A CN201710067643 A CN 201710067643A CN 106677569 A CN106677569 A CN 106677569A
Authority
CN
China
Prior art keywords
module
driver
gps
parking stall
parking
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.)
Granted
Application number
CN201710067643.1A
Other languages
Chinese (zh)
Other versions
CN106677569B (en
Inventor
张卫华
沈燕彬
冯忠祥
谷锦彪
陈乾
卫立阳
张力
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.)
Hefei University of Technology
Original Assignee
Hefei University of Technology
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 Hefei University of Technology filed Critical Hefei University of Technology
Priority to CN201710067643.1A priority Critical patent/CN106677569B/en
Publication of CN106677569A publication Critical patent/CN106677569A/en
Application granted granted Critical
Publication of CN106677569B publication Critical patent/CN106677569B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • EFIXED CONSTRUCTIONS
    • E04BUILDING
    • E04HBUILDINGS OR LIKE STRUCTURES FOR PARTICULAR PURPOSES; SWIMMING OR SPLASH BATHS OR POOLS; MASTS; FENCING; TENTS OR CANOPIES, IN GENERAL
    • E04H6/00Buildings for parking cars, rolling-stock, aircraft, vessels or like vehicles, e.g. garages
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S19/00Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/38Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
    • G01S19/39Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/42Determining position

Landscapes

  • Engineering & Computer Science (AREA)
  • Architecture (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Civil Engineering (AREA)
  • Structural Engineering (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
  • Steering Control In Accordance With Driving Conditions (AREA)

Abstract

The invention discloses an optimal parking space selection system based on physiological characteristics of a driver and a GPS. The optimal parking space selection system comprises a main control module, a GPS module, a storage module, an information processing module, an electrocardiograph detection module, an electromyogrphy detection module and an eye movement detection module, wherein the electrocardiograph detection module, the electromyogrphy detection module and the eye movement detection module are used for being attached to the corresponding parts of the body of the driver. The signal output ends of the electrocardiograph detection module, the electromyogrphy detection module, the eye movement detection module and the GPS module are connected with the signal input end of the main control module. The main control module, the storage module and the information processing module are connected in two directions. The signal output end of the main control module is connected with a communication module. In consideration of the angle of the parking load of the driver, the heart rate, muscle strength, staring time and pause adjustment times of the driver in the process of parking serve as parameters, and the parking loads of different parking spaces is obtained in combination with the parking space size, so that a parking space with a reasonable size can be designed, and through the parking space, the driver can park safely, quickly and easily.

Description

It is a kind of based on driver's physiological property and the optimum parking stall selecting system of GPS
Technical field
It is the present invention relates to Urban Traffic Planning field more particularly to a kind of based on driver's physiological property and the optimum of GPS Parking stall selecting system.
Background technology
With the quickening of China's modernization, national automobile pollution more and more higher, trip of driving becomes more and more The main trip mode of people.The growth of automobile quantity not only brings unprecedented impact to urban parking area, and to driving People is stopped and brings a certain degree of test, therefore parking problem seems more prominent.The planning on parking stall is unreasonable, causes to drive Sail people and stop difficult, affect parking efficiency, cause the scraping of vehicle, or even the accident for having caused casualties.
Under practical situation, for some parking stalls, driver can relative ease stop into, but such parking stall is past Toward size than larger, or passage is wider so that retain enough spacing in docking process between vehicle and parking stall sideline, this Sample reduces land utilization ratio, has increased building cost.For some parking stalls, undersized or passage is narrow, parking difficulty Degree is relatively large, affects unobstructed situation in parking efficiency and parking lot, or even accident occurs.
Therefore needing a kind of method can allow driver easily, efficiently and safely to be stopped to design, and save soil as far as possible The parking stall size of ground area and channel width.The parking potential energy of the size allows driver to reduce the time in docking process, Gasoline discharge capacity is reduced, ensures that parking lot or peripheral channel are unobstructed, it is ensured that the economy profit of parking lot operator and driver Benefit, promotes social economy's orderly development, is conducive to the structure of harmonious society.
The content of the invention
In order to solve the above problems, patent of the present invention is stopped there is provided a kind of optimum based on driver's physiological property and GPS Parking stall selecting system, by a number of driver multigroup train experiment is carried out, by associating myoelectricity and muscular tone degree, the heart Electricity and driver's intense strain, the dynamic state of the eye such as pupil size, fixation time and driver's workload, are absorbed in degree, GPS and Relation between parking efficiency, obtains multinomial data processing parking stall size and channel width and driver works negative when stopping Relation between lotus, parking efficiency, in conjunction with land seizure area, chooses optimum parking stall form, size, channel width.
The technical scheme that patent of the present invention is adopted is:
It is a kind of based on driver's physiological property and the optimum parking stall selecting system of GPS, it is characterised in that:Include master control Module, GPS module, memory module, message processing module and the ECG detecting mould for being attached to driving person corresponding site Block, checking with EMG method module, eye move detection module, and the ECG detecting module, checking with EMG method module, eye move detection module, GPS moulds The signal output part of block connects the signal input part of main control module, main control module and memory module, the two-way company of message processing module Connect, the signal output part connecting communication module of main control module.
It is described a kind of based on driver's physiological property and the optimum parking stall selecting system of GPS, it is characterised in that:It is described ECG detecting module represents driver's mental tension when heart rate is fast, from side for detecting the real-time heart rate situation of driver Reflection parking stall is big to the workload of driver;Conversely, when driver's heart rate is steady, illustrating parking relative ease, parking stall Humanization designing.
It is described a kind of based on driver's physiological property and the optimum parking stall selecting system of GPS, it is characterised in that:It is described Checking with EMG method module is used to detect the real-time muscle strengh of driver, in a docking process, if driver's muscle strengh is long Between it is higher, illustrate that driver is firmly larger, stop difficult;If conversely, driver's muscle strengh is low and relatively gentle, illustrating to stop Easily, parking stall humanization designing.
It is described a kind of based on driver's physiological property and the optimum parking stall selecting system of GPS, it is characterised in that:It is described The dynamic detection module of eye is used to detect pupil size, fixation time length of the driver in docking process that pupil to be relative to initial When to become big, fixation time long, then illustrate driver attention high-pressure, easily cause fatigue;Conversely, then explanation parking is held Easily, parking stall humanization designing.
It is described a kind of based on driver's physiological property and the optimum parking stall selecting system of GPS, it is characterised in that:It is described GPS module is divided into rover station and base station, and in automobile, GPS module base station is located at the area within automobile 50m to GPS module rover station Domain, GPS module rover station and base station pass through bluetooth connection.
It is described a kind of based on driver's physiological property and the optimum parking stall selecting system of GPS, it is characterised in that:It is described GPS module is used to detect driver vehicle location, speed, acceleration, corner, pause number information in docking process, if vapour Car pause number of times in docking process is excessive, then explanation stops more difficult, needs multiple translation-angle just can stop into;Conversely, Corner is significantly converted, pause number of times is less, then stopping is easier to, parking stall humanization designing.
It is described a kind of based on driver's physiological property and the optimum parking stall selecting system of GPS, it is characterised in that:It is described Memory module is used to store the driving number of the dynamic detection module detection of ECG detecting module, checking with EMG method module, GPS module, eye According to.
It is described a kind of based on driver's physiological property and the optimum parking stall selecting system of GPS, it is characterised in that:It is described Message processing module is stored in storage for processing the dynamic detection module of ECG detecting module, checking with EMG method module, GPS module, eye Data in module, and with reference to parking stall occupied area size, message processing module processes stopping for driver of being stopped every time Car loadWith the parking resistance λ on parking stall, so as to judge the resonable degree on parking stall.
The present invention considers from driver's parking load angle, with the heart rate in driver's docking process, muscle strengh, watches attentively Time, the adjustment number of times that pauses are parameter, and with reference to parking stall size the parking load on different parking stalls is obtained, and are contrasted multiple different Parking stall obtains parking stall size, form, the channel width for making driver's parking load minimum.
The invention has the beneficial effects as follows:
The present invention can be dynamic using the electrocardio, myoelectricity, eye that detect in driver's docking process and gps data draws difference The parking load size that size, the different parking stall forms of different channel widths are produced to driver, in certain areal extent The little parking stall of load is selected as the form of planning so that driver's parking difficulty in docking process is little, parking efficiency high, It is little to the traffic impact around parking stall, it is not easy to cause obstruction and accident, greatly improve all transfer efficients of parking and and society Jing Ji benefit, is conducive to social harmonious development.
Description of the drawings
Fig. 1 is the system principle schematic diagram of the present invention.
Fig. 2 is run-in index parking stall parking schematic diagram.
Fig. 3 is rectilinear parking stall parking schematic diagram.
Fig. 4 is diagonal parking position parking schematic diagram.
Specific embodiment
Embodiment of the present invention is described in detail with reference to the accompanying drawing of the present invention.Described embodiment is not It is all embodiments.Based on the present invention, embodiment of the those of ordinary skill in the art in the case where creative construction is not made all belongs to In the scope of protection of the invention.
As shown in figure 1, it is a kind of based on driver's physiological property and the optimum parking stall selecting system of GPS, include master control Module 7, GPS module 3, memory module 5, message processing module 6 and the electrocardio inspection for being attached to driving person corresponding site The dynamic detection module 4 of module 1, checking with EMG method module 2, eye is surveyed, ECG detecting module 1, checking with EMG method module 2, eye move detection module 4th, the signal output part of GPS module 3 connects the signal input part of main control module 7, main control module 7 and memory module 5, information processing Module 6 is bi-directionally connected, the signal output part connecting communication module 8 of main control module 7.
The evaluation methodology of parking stall resonable degree and principle:
Driver can produce different degrees of parking difficulty in docking process because of parking stall size and channel width, right Different physiology, psychological characteristic can be shown in different parking difficulty drivers, and causes different driving behaviors, the row The acceleration and deceleration of vehicle, corner, speed, pause etc. in show docking process.These physiological psychological qualities and parking behavior collection In embody driver carrying out this time stop when the load of machinery systems.What parking load can be surveyed from following module:Electrocardio Detection module 1, checking with EMG method module 2, GPS module 3, eye moves detection module 4.ECG detecting module 1 obtains driver and stopped Changes in heart rate situation in journey, i.e., relative to calmness in the case of, driver's increased heart rate caused by highly difficult parking behavior Degree.Checking with EMG method module 2 obtains the muscle strengh situation of change in driver's docking process, and the muscle strengh of high level continues Time length then illustrates that parking difficulty is big.GPS module 3 obtains the positional information of vehicle, wherein with the adjustment number of times that pauses as accordingly finger Mark, adjustment number of times is more, illustrates that parking difficulty is big.When watching attentively of eyes when the dynamic detection module 4 of eye can detect that driver is stopped Between and pupil size, wherein using fixation time as the dynamic index of eye, the longer explanation driver of fixation time needs higher concentration Attention, stops more difficult.
Load is specifically obtained and computational methods are as follows:
ECG detecting module 1, measures tranquil heart rate HR before driver is stopped1, driven by ECG detecting module 1 The real-time heart rate HR in people's docking process is sailed, HR-t images, image and y=HR is drawn1The areal calculation formula for being surrounded is:
This parking average heart rate computing formula:
Change rate of heartbeat computing formula:
Checking with EMG method module 2, muscle strengh is 0 under driver's relaxation state, when muscle strengh is more than X, then it is assumed that driven People's muscle is in tension.Remember that lasting cumulative time of driver's muscle strengh more than X is t in whole docking process1, stop During muscular tone percentage of time computing formula:
3 points of GPS module is rover station and base station, and in automobile, GPS module base station is located at automobile 50m to GPS module rover station Within region, GPS module rover station and base station pass through bluetooth connection;GPS module 3, for detecting driver in docking process The information such as middle vehicle location, speed, acceleration, corner, pause number of times, when parking difficulty is big, the number of times that vehicle is adjusted back and forth Increase, remember that this time stops adjustment number of times for n.
The dynamic detection module 4 of eye, for detecting pupil size, fixation time length of the driver in docking process, wherein Attention concentration degree in fixation time major embodiment driver's docking process, attention time of concentration is longer, represents that parking is got over It is difficult.Note fixation time percentage ratio computing formula:
ECG detecting module 1, checking with EMG method module 2, GPS module 3, the dynamic detection module 4 of eye by the driver for detecting and The real-time parking data of vehicle is stored into memory module 5, and message processing module 6 is used to process ECG detecting module, checking with EMG method The dynamic detection module storage of module, GPS module, eye data in a storage module, message processing module 6 is calculated it, point Change rate of heartbeat α, muscular tone percentage of time β are not obtained, frequency n, fixation time percentage ratio γ is adjusted.Message processing module 6 are calculated the parking stall parking carry calculation formula:
A, b, c, d, e are coefficient, and other symbolic significances are the same.
If considering the impact of parking stall and walkway occupied area, parking stall and parking stall dead ahead walkway region area S=(a+c) * b, parking stall parking resistance
Adjustment parking stall size and walkway width are repeatedly tested, the group of each parking stall size and walkway width Conjunction can obtain corresponding parking loadWith parking resistance λ.Resistance λ is less for parking, illustrates that driver's parking load is little, and should Parking stall area is relatively small.
The ECG detecting module is used to detect the real-time heart rate situation of driver, represents when heart rate is fast and drive human psychological Anxiety is big to the workload of driver from side reflection parking stall;Conversely, when driver's heart rate is steady, illustrating to stop relative Easily, parking stall humanization designing.
The checking with EMG method module is used to detect the real-time muscle strengh of driver, in a docking process, if driver Muscle strengh long-time is higher, illustrates that driver is firmly larger, stops difficult;If conversely, driver's muscle strengh is low and relative Gently, illustrate to stop light, parking stall humanization designing.
GPS module is used to detect driver vehicle location, speed, acceleration, corner, pause number of times etc. in docking process Information, if automobile pause number of times in docking process is excessive, illustrate to stop more difficult, the multiple translation-angle of needs just can stop into Go;Conversely, corner significantly convert, pause number of times it is less, then stop be easier to, parking stall humanization designing.
The dynamic detection module of eye is used to detect pupil size, fixation time length of the driver in docking process, pupil phase For it is initial when to become big, fixation time long, then illustrate driver attention high-pressure, easily cause fatigue;Conversely, then saying It is bright to stop easy, parking stall humanization designing.
Memory module is used to store the dynamic detection module detection of ECG detecting module, checking with EMG method module, GPS module, eye Drive personal data.
Message processing module is deposited for processing the dynamic detection module of ECG detecting module, checking with EMG method module, GPS module, eye Storage data in a storage module, and with reference to parking stall occupied area size, message processing module process obtains stopping every time and drives Sail the parking load of peopleWith the parking resistance λ on parking stall, so as to judge the resonable degree on parking stall.
The specific workflow of the system is as follows:
A1. the data acquisition end of the dynamic detection module of ECG detecting module, checking with EMG method module and eye is attached to into participation experiment The corresponding site of driver, connects rover station and the base station of GPS module;
A2. complete ECG detecting module, checking with EMG method modular debugging, the dynamic detection module calibration of eye, the connection of GPS module and Debugging;
A3. by storing cycle in front of the side of parking stall, vehicle body is parallel with passage sideline;
A4. vehicle hangs R gears, prepares reversing warehouse-in, each item data start recording;
A5. without departing from parking stall scope, edge line is not pressed onto, vehicle is parked in central being considered as in parking stall and completes to stop Car.
A6. by car open back test before original position, adjustment parking bit length, passage sideline distance (i.e. channel width) and Parking stall form, repeats to stop.
In the described embodiment, the parking bit width a of each size, parking bit width b, walkway width c can be various In the case of adjust, wherein parking bit width a, parking bit width b are not less than vehicle width, and width c in walkway is long not less than vehicle Degree, concrete size can be designed according to actual requirement of engineering.
A kind of parking stall design system based on driver's physiological property is described in detail above, using above-mentioned system System is obtained heart rate, muscle strengh, pause adjustment number of times, fixation time situation, parking plane of the driver in docking process Product, by processing these information, obtains the parking resistance on the parking load size and parking stall caused to driver on the parking stall, So as to judge parking stall design rationality.Above example is one kind of the practical application of the present invention, is used to help understand this The principle of invention, is not construed as the restriction used the present invention.

Claims (8)

1. a kind of based on driver's physiological property and the optimum parking stall selecting system of GPS, it is characterised in that:Include master control mould Block, GPS module, memory module, message processing module and for be attached to drive person corresponding site ECG detecting module, Checking with EMG method module, eye move detection module, and the ECG detecting module, checking with EMG method module, eye move detection module, GPS module Signal output part connect the signal input part of main control module, main control module is bi-directionally connected with memory module, message processing module, The signal output part connecting communication module of main control module.
2. according to claim 1 a kind of based on driver's physiological property and the optimum parking stall selecting system of GPS, it is special Levy and be:The ECG detecting module is used to detect the real-time heart rate situation of driver, represents when heart rate is fast and drive human psychological Anxiety is big to the workload of driver from side reflection parking stall;Conversely, when driver's heart rate is steady, illustrating to stop relative Easily, parking stall humanization designing.
3. according to claim 1 a kind of based on driver's physiological property and the optimum parking stall selecting system of GPS, it is special Levy and be:The checking with EMG method module is used to detect the real-time muscle strengh of driver, in a docking process, if driver's flesh Meat dynamics long-time is higher, illustrates that driver is firmly larger, stops difficult;If conversely, driver's muscle strengh is low and relatively flat It is slow, illustrate to stop light, parking stall humanization designing.
4. according to claim 1 a kind of based on driver's physiological property and the optimum parking stall selecting system of GPS, it is special Levy and be:The dynamic detection module of the eye is used to detect pupil size, fixation time length of the driver in docking process, pupil Relative to it is initial when to become big, fixation time long, then illustrate driver attention high-pressure, easily cause fatigue;Conversely, then Illustrate to stop easy, parking stall humanization designing.
5. according to claim 1 a kind of based on driver's physiological property and the optimum parking stall selecting system of GPS, it is special Levy and be:The GPS module is divided into rover station and base station, and in automobile, GPS module base station is located at automobile to GPS module rover station Region within 50m, GPS module rover station and base station pass through bluetooth connection.
6. according to claim 5 a kind of based on driver's physiological property and the optimum parking stall selecting system of GPS, it is special Levy and be:The GPS module is used to detect driver vehicle location, speed, acceleration, corner, pause time in docking process Number information, if automobile pause number of times in docking process is excessive, illustrates to stop more difficult, needs multiple translation-angle just can stop Enter;Conversely, corner significantly convert, pause number of times it is less, then stop be easier to, parking stall humanization designing.
7. according to claim 1 a kind of based on driver's physiological property and the optimum parking stall selecting system of GPS, it is special Levy and be:The memory module is used to store the dynamic detection module detection of ECG detecting module, checking with EMG method module, GPS module, eye Driving personal data.
8. according to claim 7 a kind of based on driver's physiological property and the optimum parking stall selecting system of GPS, it is special Levy and be:Described information processing module is used to process the dynamic detection module of ECG detecting module, checking with EMG method module, GPS module, eye Storage data in a storage module, and with reference to parking stall occupied area size, message processing module process is stopped every time The parking load of driverWith the parking resistance λ on parking stall, so as to judge the resonable degree on parking stall.
CN201710067643.1A 2017-02-07 2017-02-07 Optimal parking space selection system based on physiological characteristics of driver and GPS Active CN106677569B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710067643.1A CN106677569B (en) 2017-02-07 2017-02-07 Optimal parking space selection system based on physiological characteristics of driver and GPS

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710067643.1A CN106677569B (en) 2017-02-07 2017-02-07 Optimal parking space selection system based on physiological characteristics of driver and GPS

Publications (2)

Publication Number Publication Date
CN106677569A true CN106677569A (en) 2017-05-17
CN106677569B CN106677569B (en) 2022-08-12

Family

ID=58860332

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710067643.1A Active CN106677569B (en) 2017-02-07 2017-02-07 Optimal parking space selection system based on physiological characteristics of driver and GPS

Country Status (1)

Country Link
CN (1) CN106677569B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107862893A (en) * 2017-10-31 2018-03-30 西安科锐盛创新科技有限公司 Intelligent stereo parking space
CN113257074A (en) * 2021-05-31 2021-08-13 重庆工程职业技术学院 Intelligent driving training system based on driver operation behavior perception
DE102022002243A1 (en) 2022-06-21 2023-07-27 Mercedes-Benz Group AG Method for assisted search for a parking space for a vehicle

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1394773A (en) * 2001-06-29 2003-02-05 株式会社丰田自动织机 Parking auxiliary device
CN1878688A (en) * 2003-11-06 2006-12-13 罗伯特·博世有限公司 Method for the determination of a parking space
CN101690666A (en) * 2009-10-13 2010-04-07 北京工业大学 Driving working load calculation method of automobile driver
CN202996054U (en) * 2013-01-03 2013-06-12 梁晓军 Parking lot preferring device in parking space
CN202995970U (en) * 2012-11-16 2013-06-12 西安众智惠泽光电科技有限公司 Automobile fatigue driving real-time prompting system
CN105243789A (en) * 2015-08-31 2016-01-13 江苏智海电子技术有限公司 Fatigue driving detection method of fusing electrocardiosignal and steering wheel holding pressure
CN206513076U (en) * 2017-02-07 2017-09-22 合肥工业大学 A kind of optimal parking stall selecting system based on driver's physiological property and GPS

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1394773A (en) * 2001-06-29 2003-02-05 株式会社丰田自动织机 Parking auxiliary device
CN1878688A (en) * 2003-11-06 2006-12-13 罗伯特·博世有限公司 Method for the determination of a parking space
CN101690666A (en) * 2009-10-13 2010-04-07 北京工业大学 Driving working load calculation method of automobile driver
CN202995970U (en) * 2012-11-16 2013-06-12 西安众智惠泽光电科技有限公司 Automobile fatigue driving real-time prompting system
CN202996054U (en) * 2013-01-03 2013-06-12 梁晓军 Parking lot preferring device in parking space
CN105243789A (en) * 2015-08-31 2016-01-13 江苏智海电子技术有限公司 Fatigue driving detection method of fusing electrocardiosignal and steering wheel holding pressure
CN206513076U (en) * 2017-02-07 2017-09-22 合肥工业大学 A kind of optimal parking stall selecting system based on driver's physiological property and GPS

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107862893A (en) * 2017-10-31 2018-03-30 西安科锐盛创新科技有限公司 Intelligent stereo parking space
CN113257074A (en) * 2021-05-31 2021-08-13 重庆工程职业技术学院 Intelligent driving training system based on driver operation behavior perception
DE102022002243A1 (en) 2022-06-21 2023-07-27 Mercedes-Benz Group AG Method for assisted search for a parking space for a vehicle

Also Published As

Publication number Publication date
CN106677569B (en) 2022-08-12

Similar Documents

Publication Publication Date Title
CN106677569A (en) Optimal parking space selection system based on physiological characteristics of driver and GPS
CN104200267B (en) A kind of vehicle drive Economic Evaluation system and evaluation method
Bein et al. Prior knowledge influences on hippocampus and medial prefrontal cortex interactions in subsequent memory
Simpson et al. A longitudinal evaluation of treatment engagement and recovery stages
CN104269026B (en) Fatigue driving real-time monitoring and early warning method based on Android platform
DE102017119453A1 (en) Energy-optimized vehicle route selection
CN109460780A (en) Safe driving of vehicle detection method, device and the storage medium of artificial neural network
CN105741494A (en) Driver fatigue monitoring method based on off-line data matching
CN206513076U (en) A kind of optimal parking stall selecting system based on driver's physiological property and GPS
CN106952448B (en) It is a kind of to have the car-mounted device for driving complete period level of fatigue real-time identification warning function
CN103610457A (en) Electrocardiosignal processing method and electrocardiosignal processing system
CN103383709A (en) Highway long-tunnel exit section daytime illumination optimizing method
CN108335496A (en) A kind of City-level traffic signal optimization method and system
CN103985099A (en) Dispersion tensor magnetic resonance image tensor domain non-local mean denoising method
CN103295201A (en) Multi-sensor image fusion method on basis of IICM (improved intersecting cortical model) in NSST (nonsubsampled shearlet transform) domain
DE102014204137A1 (en) information terminal
CN103445780A (en) Diffusion-weighted magnetic resonance imaging multi-fiber reconstruction method
CN106691440A (en) Controller fatigue detection method and system based on BP neural network
CN103383708A (en) Highway long-tunnel entrance section daytime illumination optimizing method
CN103400198A (en) Night illumination optimization method for long tunnel entrance section of highway
DE202014010891U1 (en) Systems for the transmission of navigation data
CN104916132B (en) Method used for determining traffic flow running track of intersection
CN105205443B (en) A kind of traffic conflict recognition methods based on driver's eye movement characteristics
Yang et al. Dashboard Layout Effects on Drivers' Searching Performance and Heart Rate: Experimental Investigation and Prediction
CN109117457A (en) Bodily form curvature big data calculation method

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
GR01 Patent grant
GR01 Patent grant