Machine Learning - Virtual Sensors - Automotive - Intelligent Tire
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Transcript of Machine Learning - Virtual Sensors - Automotive - Intelligent Tire
AUTOMOTIVE VIRTUAL SENSORSNew Technologies for
WE ARE AT THE ENDOF THE BEGINNING
(John Kelly SVP - Director of IBM Research)
There is a Global Effort to developCOGNITIVE COMPUTING
IBM (IBM.N) said it will invest more than $1 billion to establish a new business unit for WatsonReuters - Thu Jan 9, 2014 2:50am EST
"The biggest thing will be Artificial Intelligence," Schmidt (Google CEO) said at OasisBloomberg - Mar 6, 2014 10:07 PM GMT+0100
China's top search engine Baidu Inc. has hired Google Inc's former Artificial Intelligence (AI) chief Andrew NgReuters - Fri May 16, 2014 4:58pm EDT
COGNITIVE COMPUTING is based onMACHINE LEARNING
tunable modelsadjustedby adapting to given data
MACHINE LEARNING discover INFORMATIONLocked-Up in DATA
WHY THIS IS IMPORTANT FOR YOU
Because we obtained Excellent Resultsby using MACHINE LEARNING to design AUTOMOTIVE VIRTUAL SENSORS:
iTPMS - Tire Pressure Estimator -Speed Estimator - Side Slip Angle Estimator (SSE)
By Leveraging Four Main Skills
Computer Science
Data Science(MACHINE LEARNING)
Domain Knowledge(Engineering)
Embedded SoftwareElectronics
Our Process(AUTOMOTIVE VIRTUAL SENSOR design)
1.Data Collection & Normalization
2.Feature Selection
3.Model Fitting
4.Rapid Prototyping
5.Production Code
1. Data Collection & Normalization(from sensors to DataBase)
1.Data Collection & NormalizationTest Design - Physical Simulators (*) Testing ServicesData Check-In Filtering & Outlier Detection Data Normalization
Server
Job Launcher
Data sender
Workersset
Data
Meta
Algo.
X, Y
Compressedraw data
Jobsqueue/log
Adapter
Algorithms
Adapter
Algorithms
Datapreprocessing
Raw Data
USER
ask_jobjob
ask_data
dataresults
…
RawData
Preprocfunctions
DB
(*) In partnership with
1.Data Collection & NormalizationTest Design - Physical Simulators (*)Testing Services Data Check-InFiltering & Outlier DetectionData Normalization
Test Procedures Wide Range of Sensors and Configurations Installation and Calibration on Vehicles Acquisition Systems Setup
1.Data Collection & NormalizationTest Design - Physical Simulators (*)Testing Services Data Check-InFiltering & Outlier DetectionData Normalization
Real-Time Data Validation to avoid Errors or Shooting
2. Feature Selection(finds the most important variables for the Virtual Sensor)
2. Feature SelectionEngineering Domain Knowledge Features Space ExpansionSpace Dimensionality ReductionSubset Selection
Geometric Corrections Kinetic Corrections
2. Feature SelectionEngineering Domain KnowledgeFeatures Space Expansion Space Dimensionality ReductionSubset Selection
Linear Trasformation Dimensional Analysis
2. Feature SelectionEngineering Domain KnowledgeFeatures Space ExpansionSpace Dimensionality Reduction Subset Selection
Linear Projection Manifold Learning Stochastic Neighbor Embedding
2. Feature SelectionEngineering Domain KnowledgeFeatures Space ExpansionSpace Dimensionality ReductionSubset Selection Recursive Feature Elimination
Wrapper Methods Embedded Methods
3. Model Fitting(here is where the Virtual Sensor Algorithm is made)
3.Model FittingSupport Vector Machines Ensemble MethodsDeep Neural NetworksRecurrent Neural Networks
3.Model FittingSupport Vector MachinesEnsemble Methods Deep Neural NetworksRecurrent Neural Networks
……"tree"t1 tree"tT
category"c category"c
v v fn(v)"> tn
• feature"vector" "v • split"func6ons" "fn(v) • thresholds" "tn • Classifica6ons "Pn(c)
3.Model FittingSupport Vector MachinesEnsemble MethodsDeep Neural Networks Recurrent Neural Networks
3.Model FittingSupport Vector MachinesEnsemble MethodsDeep Neural NetworksRecurrent Neural Networks
4. Rapid Prototyping
4.Rapid PrototypingVerification and ValidationFast DeploymentSystem Integration Control Loops
User Interfaces
5. Production Code
5.Production CodeResources OptimizationProcessor Specific TuningMulti-Core & Polyhedral OptimizationMicroprocessors and FPGA Targets
Software in-the-loopHardware in-the-loop
APPLICATIONS: NOT JUST AUTOMOTIVEOil & Gas - Aerospace - Automotive
OIL & GAS
AEROSPACE
AUTOMOTIVE APPLICATIONSiTPMS - Tire Pressure Estimator - Speed Estimator - Side Slip Angle Estimator (SSE)
iTPMS(Detect an Under-Inflated Tire)
Do not Require Additional Sensors:Works with CAN Bus Data @ 50 Hz
Continuous Detection in Any Handling Condition
Fully Compliant (*) with:UN ECE-R 64 // FMVSS 138 // Fiat iTPMS PTP
Tire Position Information
(*) Based on available data
Do you REALLY think I will RESET Your TPMS ?
Do you REALLY think I will set the Right Tire Pressure ?
Tire Pressure Estimator(Measure the Tire Pressure)
Do not Require Additional SensorsContinuous Detection in Any Handling ConditionFully Compliant with:
UN ECE-R 64 // FMVSS 138 // Fiat iTPMS PTP (*)
Does Not Requires Calibration // ResetDoes Not Require Continuous GPS CoveragePrecision: 0.1[bar]Rapid Deflation Detection Time: 5[s]Slow Deflation: Calculate Residual Driving Time
(*) Requires Tire Characterization and GPS signal when availableTire Characterization Requires Typically One Day per Tire Set
Speed Estimator - RacingDo Not Require Additional Sensors
Speed Error below 1.0% from 10 to 40 km/h (*)
Speed Error below 0.5% from 40 to 310 km/h (*)
10[ms] Lag Guarantee with proper Data Feed
(*) Requires Either Tire Characterization OR GPS signal when availableTire Characterization Requires Typically One Day per Tire Set
Side Slip Estimator (SSE)Does Not Require Additional Sensors:
Works with CAN Bus Data @ 50 HzDoes Not Require GPSDoes Not Require Tire Characterization (*)Works in ANY Handling Condition
20[ms] Lag GuaranteeMaximum Error: 0.5° RMS up to 45° SSFrom 10 to 300 km/hAvailable for 2WD, 4WD and 4 Wheel Steering
(*) Requires Vehicle CharacterizationVehicle Characterization Requires Typically One Week
WE HAVE A PROCESSto design custom VIRTUAL SENSORS
and deliver production-grade code for Microprocessors or FPGA
VIRTUAL SENSORdoesn’t mean
SENSORLESS
Moreover
VIRTUAL SENSORScan either
REPLACE existing sensors or
be used to create REDUNDANCY or ADDITIONAL FEATURES
TPMSAutocalibrationBackup & SafetyEnhanced PrecisionLoad EstimatorRolling Resistance Estimator
Smart TiresEnhanced PrecisionBackup & SafetyLateral Force EstimatorGrip Limit (ABS - Traction)Tire Misuse (Driving Style, Toe-In)Internal Temperature DistributionTread Depth
CUSTOMERS
CERTIFICATIONS
Thank You