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JEREMY SALINGER

Innovation Program Manager

Electrical & Control Systems Research Lab

GM Global Research & Development

(2)

ROADMAP TO AUTOMATED DRIVING

Future Today

Limited On-Demand Automation

(Monitored Control)

Complex On-Demand Automation

(Transferred Control)

Autonomous Driving

(Chauffeured Driving)

Driver Info & Alerts

(No Control)

Emergency Intervention

(Limited Control)

Incr easing C apabilit y

Today’s Driver Assist

Package

“SuperCruise

” Concept

TECHNOLOGY ENABLERS:

Perception and Algorithms Integrated Sensing with Maps, GPS, V2X

Driver State Knowledge

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TODAY’S TECHNOLOGIES

Forward Collision Alert Lane Departure Warning Side Blind-Zone Alert

Rear Cross-Traffic Alert Adaptive Cruise Control Auto Collision Mitigation Braking

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CADILLAC SUPER CRUISE

+ =

Sensor Fusion System

3 Short-Range Radars

1 Long-Range Radar

1 Front Camera 8-10

Ultrasonic Sensors

1 Rear Camera 2 Short-Range

Radars

HOW IT WORKS

LANE FOLLOWING: Using a combination of GPS and optical cameras, Super Cruise watches the road ahead and adjusts steering to keep the car in the middle of its lane.

COLLISION AVOIDANCE: A long-distance radar system detects vehicles more than 300 ft. ahead.

The vehicle will automatically accelerate or apply the brakes to maintain a preset following distance.

ACTIVE

SAFETY AUTOMATED

STEERING & LANE FOLLOWING

CADILLAC TO INTRODUCE SUPER CRUISE ON ALL-NEW CT6

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ADAPTIVE HUMAN-MACHINE INTERFACE

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Outfitted with cameras, 6 Lidar sensors, long-range radar, GPS, maps, and V2X communications

Vehicle sensors or V2X enable 360-degree awareness

Automated urban AND highway driving First demonstration at ITS World

Congress (September 2014) OPEL INSIGNIA

RESEARCH VEHICLE

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Outfitted with cameras, GPS, Lidar, V2X communications, smartphone, maps,

and RFID technologies

– Autonomous chauffeur

– Automated valet parking and retrieval – Urban automated platooning/

traffic jam assist

– Intersection collision assist – Pedestrian crash avoidance

Demonstrated at ITS World Congress (September 2014)

ELECTRIC NETWORKED

VEHICLE 2.0

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Many are asking how to achieve confidence automated driving systems will provide the desired value in both safety and travel convenience/utility

There are many “flavors” of automated driving systems. Each requires extensive testing, including many aspects that are

unique.

Simulation, test track, and on-road testing are all used.

Historically two types of guidelines have been created to help build confidence in Active Safety Products

–Focus on the processes used for development and testing –Focus on objective tests at all levels for each feature

VERIFICATION & VALIDATION OF

AUTOMATED DRIVING SYSTEMS

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GOVERNMENT AND INDUSTRY COLLABORATION

3. Concept phase

2. Management of functional safety

2-5 Overall safety management 2-6 Safety management during item development

7. Production & Operation

6-5 Initiation of product development at the software level

6-6 Specification of software safety requirements 6-7 Software architectural design

6-8 Software unit design and implementation 6-9 Software unit testing 6-10 Software integration and testing

6-11 Software verification 5-5 Initiation of product

development at the hardware level 5-6 Specification of hardware safety requirements 5-7 Hardware design 5-8 Hardware architectural metrics

5-10 Hardware integration

and testing

C o re p ro c es s es

2-7 Safety management after release for production

3-6 Initiation of the safety lifecycle

1. Vocabulary

3-5 Item definition

3-7 Hazard analysis and risk assessment

3-8 Functional safety concept

7-6 Operation, service and

decommissioning 7-5 Production

8. Supporting processes

8-5 Interfaces within distributed developments 8-6 Overall management of safety requirements 8-8 Change management

8-9 Verification

8-7 Configuration management

4. Product development: system level

4-5 Initiation of product development at the system

level

4-7 System design 4-8 Item integration and testing

4-9 Safety validation 4-10 Functional safety assessment

4-11 Release for production

6. Product development:

software level

5. Product development:

hardware level

5-9 Evaluation of violation of the safety goal due to random HW failures

4-6 Specification of the technical safety requirements

9. ASIL-oriented and safety-oriented analyses

9-5 Requirements decomposition with respect to ASIL tailoring 9-6 Criteria for coexistence of

8-10 Documentation

8-11 Qualification of software tools 8-13 Qualification of hardware components 8-14 Proven in use argument

8-12 Qualification of software components

9-7 Analysis of dependent failures 9-8 Safety analyses

10. (Informative) Guidelines on ISO 26262

Source ISO/FDIS 26262

NCAP ISO 26262

OVERVIEW

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Creating or understanding social norms for automated vehicles

– Common expectations for behavior of automated vehicles

Consistent terminology for performance metrics and test conditions

– Roadway and environmental conditions – Ego-vehicle maneuvers

– Characteristics and behaviors of others

Performance testing facilities for

– Behavior

– Sensor Interference – Security

Shared-data quality assurance

V&V CHALLENGES THAT ARE PRE-

COMPETITIVE

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Goals

Define a common set of performance metrics for automotive radar performance

– Agree on terminology and common language for automotive radar scenarios and performance criteria

– Define a common base line set of performance metrics – Create guidelines for measuring metrics

Success Criteria:

– Required test equipment readily available

– Required test facilities commonly available or accessible – Test procedures repeatable enough to meet the intent – Terminology applicable to radar, lidar, and vision systems

– Usable to predict the performance of the sensors in complex road and traffic environments.

IWPC WORKGROUP ON PERFORMANCE

METRICS FOR AUTOMOTIVE RADARS

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References

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