精準(zhǔn)定位在自動(dòng)駕駛汽車的應(yīng)用-2022-08-自動(dòng)駕駛_第1頁(yè)
精準(zhǔn)定位在自動(dòng)駕駛汽車的應(yīng)用-2022-08-自動(dòng)駕駛_第2頁(yè)
精準(zhǔn)定位在自動(dòng)駕駛汽車的應(yīng)用-2022-08-自動(dòng)駕駛_第3頁(yè)
精準(zhǔn)定位在自動(dòng)駕駛汽車的應(yīng)用-2022-08-自動(dòng)駕駛_第4頁(yè)
精準(zhǔn)定位在自動(dòng)駕駛汽車的應(yīng)用-2022-08-自動(dòng)駕駛_第5頁(yè)
已閱讀5頁(yè),還剩88頁(yè)未讀, 繼續(xù)免費(fèi)閱讀

下載本文檔

版權(quán)說(shuō)明:本文檔由用戶提供并上傳,收益歸屬內(nèi)容提供方,若內(nèi)容存在侵權(quán),請(qǐng)進(jìn)行舉報(bào)或認(rèn)領(lǐng)

文檔簡(jiǎn)介

?

?

?

?

Increasedriverawareness

byprovidingavisual

representationoflane

position

L0

Enhancedcomfortofdrivingprecisionwiththeeliminationofimproperlaneposition

L1

/

L2

Increase“handsandeyes

free”functionalityand

predictivefallback

L2+

<0.2mforhigh-gradereceiver

<1s

<10stosub-meteraccuracy

Examples:

1s(High-gradereceiver)

1s(Automotivegrade)

6s(Androidphone)

Average375B/sperfullconstellation

?

?

?

?

?

?

?

?

?

?

?

L0

L1

L2

L3

L4

L5

?

?

?

?

?

?

?

?

?

?

?

?

?

?

?Elektrobit2022|Confidentialinformation

VehiclePosition&

Ego-MotionEstimationfor

AutomotiveApplications

DirkSpiesswinkel

2022-05-19|online

?Elektrobit2022|PublicInformation

DeadReckoning&GNSS–BestofBothWorlds

GNSS

Advantage:Sourceofabsolutepositions

Disadvantage:Accuracy/availabilitydependentonenvironmentalconditions

DeadReckoning

Advantage:Highavailability

Disadvantage:Accumulationoferrors

EBrobinos

Positioning

GNSS+DeadReckoning

Advantages:

?Highavailability

?Highaccuracy

?Elektrobit2022

|Confidentialinformation

May19,2022

22

?Elektrobit2022|Confidentialinformation

Urbanscenario–GNSSOnly

?CNES(2021)DistributionAirbusDS

?Elektrobit2022|Confidentialinformation

Urbanscenario–DeadReckoning+GNSS

?CNES(2021)DistributionAirbusDS

May19,202224

?Elektrobit2022|Confidentialinformation

EBrobinosPositioning

Architecture

?Elektrobit2022|Publicinformation

PositionEstimation

GlobalPositionEstimation

Deltapositionsand

vehicledynamicsdata

LocalPositionEstimation

Ego-motioninput

Local

Positions

position

Positions

Global

input

Global

HERE

HD

GNSS

GNSS

GyroscopeAccelerometer

Odometer

Architecture:DataFlow

PositioningMaster

SensorCalibration

?Elektrobit2022

|Confidentialinformation

May19,2022

26

PositionEstimation

GlobalPositionEstimation

Deltapositionsand

vehicledynamicsdata

LocalPositionEstimation

Ego-motioninput

Local

Positions

position

Positions

Global

input

Global

HERE

HD

GNSS

GNSS

GyroscopeAccelerometer

Odometer

Architecture:DataFlow-Sensorcalibration

PositioningMaster

Sensor

Calibration

?Elektrobit2022

|Confidentialinformation

May19,2022

27

Sensorcalibration

?MEMSsensorstypicallyusedforautomotivepurposesoftencomewithadriftofthebias

?Uncompensated,evenasmalldeviationintheinputleadstolargedeviationsintheoutput

?EBrobinosPositioningincludesalgorithmstodetermineandcompensatesuchchangesduringruntime

?Elektrobit2022|Confidentialinformation

SensorCalibration

HERE

HD

GNSS

GNSS

GyroscopeAccelerometer

Odometer

Architecture:DataFlow–Localpositionestimation

PositioningMaster

PositionEstimation

GlobalPositionEstimation

Deltapositionsand

vehicledynamicsdata

LocalPositionEstimation

Ego-motioninput

GlobalPositions

LocalPositions

position

Global

input

?Elektrobit2022

|Confidentialinformation

May19,2022

29

?Elektrobit2022

|Confidentialinformation

Localpositionestimation–Definitionlocalcoordinatesystem

?World-fixedcoordinatesystem,originfixedtovehiclepositionatsystemstart

?Origin:Middleofvehicle’srearaxleatsystemstart

?X-Y-Plane:Orthogonaltogravity

?X-Axis:Alongegolineofsight(projectedontoX-Y-Plane)

Localpositionestimation–Properties

?Outputparameters

o3Dlocalposition+accuracyellipsoid

o3Dlocalvelocity+accuracyellipsoid

o3Dlocalacceleration+accuracyellipsoid

o3Dorientation(localyawangle+absolutepitch/rollangle)+accuracy

o3Dorientationrates+accuracy

?Noabsoluteglobalpositioninputused

oPosition(+yawangle)obtainedbyintegrationonly

→inherentdriftduetomissingcorrections

oLeadstosmoothposition(+yawangle)

Usecase:HAD–Environmentmodel

?Elektrobit2022

|Confidentialinformation

Localpositionestimation–Examplepositionoutput

?Elektrobit2022|Confidentialinformation

SensorCalibration

HERE

HD

GNSS

GNSS

GyroscopeAccelerometer

Odometer

Architecture:DataFlow–Localpositionestimation

PositioningMaster

PositionEstimation

GlobalPositionEstimation

Deltapositionsand

vehicledynamicsdata

LocalPositionEstimation

Ego-motioninput

GlobalPositions

LocalPositions

position

Global

input

?Elektrobit2022

|Confidentialinformation

May19,2022

33

Globalpositionestimation–Definitionglobalcoordinatesystem

?World-fixedcoordinatesystemwithabsolutecoordinates(followsdefinitionofWGS84)

oOrigin:centeroftheEarth

oX-Axis:pointingtointersectionofprimemeridianandequator

oY-Axis:pointingtoEastdirection

oZ-Axis:pointingtoNorthdirection

?Outputpropertiessimilartolocalposition:

oLatitude(Φ),longitude(Λ),altitudeinsteadofpositionX,Y,Z

oVelocity/AccelerationpointingtoEast,North,UpinsteadofX,Y,Z

oAbsoluteyawangleinsteadofintegratedyawangle

?Nolong-termdriftduetofusionofabsoluteglobalinput

oBycorrectionaljumpsinherentlynomoresmooth

|Confidentialinformation

?Elektrobit2022

Global

positionestimation

Allapplicationrequiringanabsoluteglobalposition,e.g.mapmatchinginnavigationoreHorizoncontext,eCall,Vehicle-to-X

?Elektrobit2022|Confidentialinformation

Globalpositionestimation–?Localtoglobalembedding“

?Elektrobit2022

|Confidentialinformation

Blue=globalPosition

Red=LocalPosition

Global/Localpositionestimation–Examplepositionoutput(1/4)

Blue=globalPosition

Red=LocalPosition

End

?Elektrobit2022

|Confidentialinformation

?Elektrobit2022|Confidentialinformation

Global/Localpositionestimation–Examplepositionoutput(2/4)

Blue=globalPosition

Red=LocalPosition

BadGNSSaltitudeinput

Global/Localpositionestimation–Examplepositionoutput(3/4)

?Elektrobit2022|Confidentialinformation

?Elektrobit2022|Confidentialinformation

Global/Localpositionestimation–Examplepositionoutput(4/4)

NextGenerationEnhancement-SuspensionModel

?Extensiontolocalpositionestimation

?ModellingofpitchandZdynamics,separationof

o?rigid“movement,thatisonlycausedbytheroad/surfacethevehicleisdrivingon

o?suspended“movement,thatiscausedbythesuspension‘sdampedoscillations

reality

Usecase:augmented

?Elektrobit2022|Confidentialinformation

Suspensionmodel–ExamplePitchDynamics

?Elektrobit2022

|Confidentialinformation

?Elektrobit2022|Confidentialinformation

PerformanceEvaluation

?Elektrobit2022

PerformanceReport

Global

Positions

Referencesystempositionresults

Customer

GlobalReference

ComparisonQuantiles

Sensors

Continuous

Monitoring

EBrobinos

Positioning

SensorData

Performanceevaluation–Globalpositionestimation

R

e

c

o

r

d

i

n

g

?Elektrobit2022

|Confidentialinformation

?Elektrobit2022|Confidentialinformation

UseCases

?Elektrobit2022

Localposition

Positioning

Global

position

EBrobinos

MapMatcher

Continuou

溫馨提示

  • 1. 本站所有資源如無(wú)特殊說(shuō)明,都需要本地電腦安裝OFFICE2007和PDF閱讀器。圖紙軟件為CAD,CAXA,PROE,UG,SolidWorks等.壓縮文件請(qǐng)下載最新的WinRAR軟件解壓。
  • 2. 本站的文檔不包含任何第三方提供的附件圖紙等,如果需要附件,請(qǐng)聯(lián)系上傳者。文件的所有權(quán)益歸上傳用戶所有。
  • 3. 本站RAR壓縮包中若帶圖紙,網(wǎng)頁(yè)內(nèi)容里面會(huì)有圖紙預(yù)覽,若沒(méi)有圖紙預(yù)覽就沒(méi)有圖紙。
  • 4. 未經(jīng)權(quán)益所有人同意不得將文件中的內(nèi)容挪作商業(yè)或盈利用途。
  • 5. 人人文庫(kù)網(wǎng)僅提供信息存儲(chǔ)空間,僅對(duì)用戶上傳內(nèi)容的表現(xiàn)方式做保護(hù)處理,對(duì)用戶上傳分享的文檔內(nèi)容本身不做任何修改或編輯,并不能對(duì)任何下載內(nèi)容負(fù)責(zé)。
  • 6. 下載文件中如有侵權(quán)或不適當(dāng)內(nèi)容,請(qǐng)與我們聯(lián)系,我們立即糾正。
  • 7. 本站不保證下載資源的準(zhǔn)確性、安全性和完整性, 同時(shí)也不承擔(dān)用戶因使用這些下載資源對(duì)自己和他人造成任何形式的傷害或損失。

評(píng)論

0/150

提交評(píng)論