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THEINTELVISIONFOR
AUTONOMOUSDRIVINGHarnessing an End-to-End Vehicle Architecture
ANOMALYDETECTION
DATA CENTER
End Point Management
Geographical Tracking, OTA Updates
Deep Learning
Big Data and Statistical Analytics
• Model Training
Multinode/Intel®
Architecture-Optimized
Frameworks
Data Annotation and Labeling
Over-the-Air Updates
to Models, Maps
Anomalous Data
Intel’s investments and experience span the vehicle, communications, and the
data center. With 30 years of security and IT expertise, we deliver an end-to-end
platform that helps protect people and data. Through our technology and our
collaborations with industry experts, Intel provides a complete portfolio for
autonomous driving. Learn more at intel.com/automotive.
Sneakernet Test Fleets
Data Store
Data Set
Management
5G
SAFETY & SECURITY
IN-VEHICLE
Autonomous Driving
Functions
Trajectory Enumeration,
Path Planning, Path Selection,
Driving Policy, Maneuvering
Real-Time Environment
Modeling
Localization
Sensor Processing
and Fusion
Object ID and Classification,
Multimodal, Time-Synchronized
Deep Learning Scoring
COMMUNICATION
THINGS
SCORING
INTEL®IOTPLATFORM
TRAINING
NETWORK CLOUD
Acronyms
IVI
In-Vehicle Infotainment
HAD
Highly Autonomous Driving
FAD
Fully Autonomous Driving
IVA
In-Vehicle Awareness
V2X
Vehicle-to-Everything
V2V
Vehicle-to-Vehicle
V2I
Vehicle-to-Infrastructure
HMI
Human-Machine Interface
OTA
Over-the-Air
E2E
End-to-End
DEFINITIONSANDKEYTERMS
1
Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No computer system can be absolutely secure.
Check with your system manufacturer or retailer or learn more at intel.com.
1. SAE International and J3016
© 2016 Intel Corporation. All rights reserved. Intel, the Intel logo, the Intel. Experience What’s Inside logo, and Intel. Experience What’s Inside are trademarks of Intel Corporation in the U.S. and/or other countries. *Other names and brands may be claimed as the property of others.
0816/MK/CMD/PDF 334825-001US
SAE
Level
Name Narrative Definition
0
1
2
Human driver monitors the driving environment
3
4
5
Automated driving system ("system") monitors the driving environment
No
Automation
Driver
Assistance
Partial
Automation
Conditional
Automation
High
Automation
Full
Automation
Execution of
Steering and
Acceleration/
Deceleration
Human
Driver
Human
Driver and
System
System
System
System
System
Human
Driver
Human
Driver
Human
Driver
System
System
System
Human
Driver
Human
Driver
Human
Driver
Human
Driver
System
System
N/A
Some Driving
Modes
Some Driving
Modes
Some Driving
Modes
Some Driving
Modes
All Driving
Modes
Monitoring
of Driving
Environment
Fallback
Performance
of Dynamic
Driving Task
System Capability
(Driving Modes)
The full-time performance by the human
driver of all aspects of the dynamic driving
task, even when enhanced by warning or
intervention systems
The driving mode-specific execution by a driver
assistance system of either steering or
acceleration/deceleration using information
about the driving environment and with the
expectation that the human driver perform all
remaining aspects of the dynamic driving task
The driving mode-specific execution by one or
more driver assistance systems of both steering
and acceleration/deceleration using information
about the driving environment and with the
expectation that the human driver perform all
remaining aspects of the dynamic driving task
The driving mode-specific performance by
an automated driving system of all aspects of
the dynamic driving task with the expectation
that the human driver will respond
appropriately to a request to intervene
The driving mode-specific performance by
an automated driving system of the
dynamic driving task, even if a human driver
does not respond appropriately to a request
to intervene
The full-time performance by an automated
driving system of all aspects of the dynamic
driving task under all roadway and
environmental conditions that can be
managed by a human driver

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Intel Vision for-autonomous-driving

  • 1. THEINTELVISIONFOR AUTONOMOUSDRIVINGHarnessing an End-to-End Vehicle Architecture ANOMALYDETECTION DATA CENTER End Point Management Geographical Tracking, OTA Updates Deep Learning Big Data and Statistical Analytics • Model Training Multinode/Intel® Architecture-Optimized Frameworks Data Annotation and Labeling Over-the-Air Updates to Models, Maps Anomalous Data Intel’s investments and experience span the vehicle, communications, and the data center. With 30 years of security and IT expertise, we deliver an end-to-end platform that helps protect people and data. Through our technology and our collaborations with industry experts, Intel provides a complete portfolio for autonomous driving. Learn more at intel.com/automotive. Sneakernet Test Fleets Data Store Data Set Management 5G SAFETY & SECURITY IN-VEHICLE Autonomous Driving Functions Trajectory Enumeration, Path Planning, Path Selection, Driving Policy, Maneuvering Real-Time Environment Modeling Localization Sensor Processing and Fusion Object ID and Classification, Multimodal, Time-Synchronized Deep Learning Scoring COMMUNICATION THINGS SCORING INTEL®IOTPLATFORM TRAINING NETWORK CLOUD
  • 2. Acronyms IVI In-Vehicle Infotainment HAD Highly Autonomous Driving FAD Fully Autonomous Driving IVA In-Vehicle Awareness V2X Vehicle-to-Everything V2V Vehicle-to-Vehicle V2I Vehicle-to-Infrastructure HMI Human-Machine Interface OTA Over-the-Air E2E End-to-End DEFINITIONSANDKEYTERMS 1 Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No computer system can be absolutely secure. Check with your system manufacturer or retailer or learn more at intel.com. 1. SAE International and J3016 © 2016 Intel Corporation. All rights reserved. Intel, the Intel logo, the Intel. Experience What’s Inside logo, and Intel. Experience What’s Inside are trademarks of Intel Corporation in the U.S. and/or other countries. *Other names and brands may be claimed as the property of others. 0816/MK/CMD/PDF 334825-001US SAE Level Name Narrative Definition 0 1 2 Human driver monitors the driving environment 3 4 5 Automated driving system ("system") monitors the driving environment No Automation Driver Assistance Partial Automation Conditional Automation High Automation Full Automation Execution of Steering and Acceleration/ Deceleration Human Driver Human Driver and System System System System System Human Driver Human Driver Human Driver System System System Human Driver Human Driver Human Driver Human Driver System System N/A Some Driving Modes Some Driving Modes Some Driving Modes Some Driving Modes All Driving Modes Monitoring of Driving Environment Fallback Performance of Dynamic Driving Task System Capability (Driving Modes) The full-time performance by the human driver of all aspects of the dynamic driving task, even when enhanced by warning or intervention systems The driving mode-specific execution by a driver assistance system of either steering or acceleration/deceleration using information about the driving environment and with the expectation that the human driver perform all remaining aspects of the dynamic driving task The driving mode-specific execution by one or more driver assistance systems of both steering and acceleration/deceleration using information about the driving environment and with the expectation that the human driver perform all remaining aspects of the dynamic driving task The driving mode-specific performance by an automated driving system of all aspects of the dynamic driving task with the expectation that the human driver will respond appropriately to a request to intervene The driving mode-specific performance by an automated driving system of the dynamic driving task, even if a human driver does not respond appropriately to a request to intervene The full-time performance by an automated driving system of all aspects of the dynamic driving task under all roadway and environmental conditions that can be managed by a human driver