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Roger Berg
Vice President
North America Research & Development
DENSO INTERNATIONAL AMERICA, INC.
Adoption of Connected Aut...
DENSO Background
38,000 Active Patents Worldwide
3/22
Future Mobility Society
Holistic ADAS – Automation Concept
Connected Automation Concept
Global ADAS Regulatory Trend
CIB (Car)
AEBS&LDW for truck
CIB (Car & Ped)
L Kids & Transportation
N
N
AEBS (Car) / LDWISA
...
Global ADAS Use Case Trend
Comfort
Convenience
Collision
Avoid
Road
Departure
Prevent
Surround
Monitor
Application
Night
A...
8/22
Sensors – How Many and What Kind?
9/22
Options to Choose
vision sensor (camera)
LIDAR mm wave RADAR sonar
telematics control unit
(cellular radio)
FCW, LKA ...
10/22
Sensors are Imperfect
On Board Sensor Capability
LIDAR Camera RADAR
V2X &
Cellular*
Map &
Location
traffic
objects
C...
11/22
Combination of HW/SW ≈ CPS
Sensing Vehicle
Driver
autonomouscooperative
speed
yaw
throttle
brake
motion HMI
global
m...
12/22
Let’s not forget connectivity
Connected Drive in Unfavorable Conditions
Connected Automation
Connected Automation
 Not one company can do it all
 No longer is a vehicle its own entity, separate from
infrastructure and other road users...
With connectivity comes…responsibility!
Infiltration end point is an ECU running a critical vehicle control function
Vehic...
18 /32
Conclusion
A continuum of ADAS is evolving from no assistance at all to the driver to full
control by cyber systems...
19/22
Roger Berg
Vice President North America R&D
DENSO INTERNATIONAL AMERICA, INC.
roger_berg@denso-diam.com
(760) 597 - ...
20/22
Automated Drive Definitions
2015 202X
Front Sensing
Radar(Front side & Rear Side)
Camera
Radar(Front)
Function&ObjectRecognitionRecognitionDomain
2015...
http://blogmedia.dealerfire.com/wp-content/uploads/sites/193/2015/02/Following-Distance-in-Fog.jpg
https://ledouxinsurance...
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Adoption of Connected Automated Vehicles for Traffic Safety

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A presentation given at the 2016 Traffic Safety Conference during Closing Session: Technologies Enhancing Transportation Safety. By Roger Berg, Vice President, North America Research and Development, Denso International America, Inc.

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Adoption of Connected Automated Vehicles for Traffic Safety

  1. 1. Roger Berg Vice President North America Research & Development DENSO INTERNATIONAL AMERICA, INC. Adoption of Connected Automated Vehicles for Traffic Safety
  2. 2. DENSO Background 38,000 Active Patents Worldwide
  3. 3. 3/22 Future Mobility Society
  4. 4. Holistic ADAS – Automation Concept
  5. 5. Connected Automation Concept
  6. 6. Global ADAS Regulatory Trend CIB (Car) AEBS&LDW for truck CIB (Car & Ped) L Kids & Transportation N N AEBS (Car) / LDWISA AEBS (Ped) 14 15 16 17 18~~13 Rear cameraN L LKA AEBS-PD LDW AEBS for truck AEBSTFCWT L N TLaw (Mandatory) NCAP Top Safety Pick (IIHS) L N N N N N N AEBS: Advanced Emergency Brake System CIB: Crash Imminent Braking FCW: Forward Collision Warning LKA: Lane Keep Assist LDW: Lane Departure Warning ISA: Intelligent Speed Adaptation cartalk.com http://www.cvel.clemson.edu/ http://virtual.vtt.fi/
  7. 7. Global ADAS Use Case Trend Comfort Convenience Collision Avoid Road Departure Prevent Surround Monitor Application Night Assist Low Speed AEBS LDW FSRA LKA ESPS PCS AHB FLAD (On demand lane change, fork/merge management ) BSW/CVW/RCTA/RPCS/FCTA LDC RDP New ADB TSR FSRA/ACC w/ stationary vehicle detection FLAD within lane (FSRA+LKA+TSR) ADB AEBS w/ steering support AEBS (Pedestrian) Night perf. enhancement AEBS AEBS (Pedestrian) CS 14 15 16 17 18 1913 Camera Sonar Laser 77GHZ Radar FSRA : Full Speed Range ACC LKA: Lane Keep Assist LDW: Lane Departure Warning TSR: Traffic Sign Recognition FLAD: Freeway Limited Autonomous Driving PCS: Pre-Crash Safety AEBS: Advanced Emergency Brake System RDP: Road Departure Prevention CS: Clearance Sonar ICS: Intelligent CS APA: Advanced Parking Assist BSW: Blind Spot Warning CVW: Closing Vehicle Warning RCTA: Rear Cross Traffic Alert RPCS: Rear PCS FCTA: Front Cross Traffic Alert AHB: Auto High Beam ADB: Adaptive Driving Beam LDC: Lane Departure Controller
  8. 8. 8/22 Sensors – How Many and What Kind?
  9. 9. 9/22 Options to Choose vision sensor (camera) LIDAR mm wave RADAR sonar telematics control unit (cellular radio) FCW, LKA software In Production Next Generation V2x radio LIDAR + camera Next gen LIDAR surround Next Gen front LIDAR pedestrian detection GPS Locator mini stereo camera 3D flash LIDAR
  10. 10. 10/22 Sensors are Imperfect On Board Sensor Capability LIDAR Camera RADAR V2X & Cellular* Map & Location traffic objects Car / Trucks Motorcycle Bicycle Pedestrian Animal Debris infrastructure traffic constraints Road marking Traffic signs Traffic lights path / road structure Curve Guard rails Wall/obstacle Robustness Rain / Snow Fog Night DetectionPerformance detection&ranging detection&ranging monitoring&classification information information Dynamic Static *depends on coverage
  11. 11. 11/22 Combination of HW/SW ≈ CPS Sensing Vehicle Driver autonomouscooperative speed yaw throttle brake motion HMI global map • road • landmark • traffic rule ... sensor fusion processing sensor components signal process & detection monitoring & recognition surroundings recognition (local map) power train brake steer chassis ADAS & AD applications arbitration & distribution actuation longitudinal acc. arbitration lateral acc./yaw rate arbitration HMI drive mode transition distribution (accel. / decel.) distribution (steer / yaw) ADAS App. #1 AD App. #2AD App. #1 ・・・・・・ open I/F open I/F LIDAR camera radarsonarV2X radio cellular radio GPS locator driver monitor bio sensor driver monitoring open I/F Sensor System steer open I/F intervention from vehicle safety gyro ADAS App. #2
  12. 12. 12/22 Let’s not forget connectivity
  13. 13. Connected Drive in Unfavorable Conditions
  14. 14. Connected Automation
  15. 15. Connected Automation
  16. 16.  Not one company can do it all  No longer is a vehicle its own entity, separate from infrastructure and other road users  We can’t necessarily predict how connected and automated drivers interact with “regular” vehicles of all types Requires collaboration between industry, academia, and governments to be effective. Cooperative Systems Have Taught Us
  17. 17. With connectivity comes…responsibility! Infiltration end point is an ECU running a critical vehicle control function Vehicle ECU ECU ECU ECU ・・・ uC Remote Agent  Architecture 1. remote 2. in-vehicle network 3. ECU direct Why does automotive need to study this? - Big impact of neglect for entire AD vehicle industry - Entire supply chain may be liable But what should we do? - Better understand today’s threat, impact, resolution - Forecast and adapt to future UNKNOWN threats
  18. 18. 18 /32 Conclusion A continuum of ADAS is evolving from no assistance at all to the driver to full control by cyber systems. A suite of devices with multi spectral sensing (e.g., RADAR, LIDAR, camera, ultrasonic) is likely to be necessary but not sufficient for all scenarios. One approach is to evolve the idea of cooperative sensors (e.g. V2X, cellular WAN, GPS/GNSS) via connectivity to enhance robustness. Stakeholders must collaborate and cooperate across industry, academia and government for safe and comfortable connected automation. Understand the importance of security across the supply chain to help ensure trust in the CPS which assumes control of the vehicle.
  19. 19. 19/22 Roger Berg Vice President North America R&D DENSO INTERNATIONAL AMERICA, INC. roger_berg@denso-diam.com (760) 597 - 7404
  20. 20. 20/22 Automated Drive Definitions
  21. 21. 2015 202X Front Sensing Radar(Front side & Rear Side) Camera Radar(Front) Function&ObjectRecognitionRecognitionDomain 2015 202X ・Cut in vehicle ・Safe headway ’16 NCAP ’18 NCAP ・Moving vehicle ・Stopped vehicle AEB Crossing (Cyclist) Single-lane driving Multiple-lane change AEB Pedestrian Full-speed-range ACC Split & Merge Emergency stop (Driver/system fail) AEB Pedestrian (night) Highway Ordinary Road ・Pedestrian (day) ・Pedestrian (night) ・Cyclist ※Blue means recognition object ・Merging vehicles ・Road edge Driver Assistance Advanced driver assistance (SAE:LV2) Fully automated driving (SAE:LV4/5) Advanced driver assistance (SAE:LV3) 2020 Sensing technology + Surround information linkage ( V2X , ADAS map ) Driver assistance Front + Side + Rear Sensing Recognition Objects & Domain expansion, Look-ahead of local information Active safety Cooperative Safety Assistance (e.g., V2X communication) ・Obscured vehicle・Crossing vehicle ・Oncoming vehicle AEB Intersection Vehicle ADAS – Automation Roadmap
  22. 22. http://blogmedia.dealerfire.com/wp-content/uploads/sites/193/2015/02/Following-Distance-in-Fog.jpg https://ledouxinsurance.files.wordpress.com/2011/10/driving-in-rain1.jpg http://il5.picdn.net/shutterstock/videos/9994577/thumb/1.jpg?i10c=img.resize(height:160) https://upload.wikimedia.org/wikipedia/commons/b/b9/Cars_in_snowstorm.JPG AD in Unfavorable Conditions

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