Artificial Intelligence for Automotive - Airi · Artificial Intelligence for Automotive Head of...
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Francesco Lilli Artificial Intelligence for Automotive Head of Advanced Electrical / Electronics Milan - May 16 th , 2019 Giornata AIRI per l’Innovazione Industriale 2019
Transcript of Artificial Intelligence for Automotive - Airi · Artificial Intelligence for Automotive Head of...
Francesco Lilli
Artificial Intelligence for Automotive
Head of Advanced Electrical / Electronics
Milan - May 16th, 2019
Giornata AIRI per l’Innovazione Industriale 2019
HUMAN INTELLIGENCE
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Human Brain can storage up to 100 million Books
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ARTIFICIAL INTELLIGENCE
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Artificial Intelligence
Artificial Intelligence
Digital DataDigital Data
Data Processing
Data Processing
Data Communication
Data Communication
DIGITAL DATA
from ‘80s massive Computer penetration to the “Cookies” Era
Digital Transformation is not only Digital Data.
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DIGITAL DATA
embrace the Digital Transformation by owning Digital Platforms.
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DIGITAL DATA
Smart Cities will increase the proliferation of Digital Data.
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DATA PROCESSING
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Every year the number of transistors produced is twice the number of transistors produced in previous years
DATA PROCESSING
Connectivity Technologies into the car will enable Hybrid Digital Platforms with higher storage and computational capabilities.
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Connected Car conveys Digital Data
it becomes a node of Digital Network and will enable Services among Verticals.
DATA COMMUNICATION
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DATA COMMUNICATION
Connectivity is an enabler of Dynamic and Up-to-Date Information.
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DATA SECURITY AND
PROTECTION
DIGITAL DATA TRENDS IN AUTOMOTIVE
Source: Forbes, FUTURUM
DIGITAL SOURCES
IN THE CAR BUYING
PROCESS
MOBILITY AS
A SERVICE
AUTONOMOUS
DRIVING
PREDICTIVE
MAINTENANCE
CONNECTED SUPPLY
CHAIN & IMPROVED
MANUFACTURING
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ARTIFICIAL INTELLIGENCE FOR AUTOMOTIVE
New Players will entry increasingly in the Automotive Market
Carmaker will benefit of their Competences
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NEURAL NETWORKS
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Neural Networks are structured with an architecture that has similarities with the structure of the cerebral cortex
WHY DO WE NEED AI?
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the application of electronics in cars forces designers to face both the growing complexity of systems and the
rapid technological evolution
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Semantic segmentation
PERCEPTION / SCENE UNDERSTANDING
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You Only Look Once
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BEHAVIORAL PREDICTION / ENVIRONMENT MODEL
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Neural Networks can be used for behavioral predictions of vehicles and pedestrians
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Vehicle motion & environment simulation
Deep reinforcement learning scheme
MOTION PLANNING/ DECISION MAKING
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Accurate vehicle motion & environment simulation plays a crucial role especially in the early stages
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DATA AUGMENTATION
Neural Networks are extremely eager of data
Paired image to image translation
Unpaired image to image translation
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PERSONALIZED FEATURES
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several Functionalities can be customized/personalized for a better user experience
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PREDICTIVE MAINTENANCE
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availability of vehicle sensors and repair data can be used to train Neural Networks
CONCLUSION
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Artificial Intelligence will play a relevant role for theAutomotive trends.
Automotive domains can capitalize the increasingamount of data availability. For instance in theautomated driving, AI can enable reliable and real timeobject detection in complex scenario.
Hardware platform and vehicle architecture need to beupgraded accordingly to guarantee the processingpower, storage capability and communicationrequirements.
