Honda’s Initiative on Connected and Automated Driving

Honda R&D Co., Ltd.

Automobile R&D Center

Yoichi Sugimoto

2

Cities

Changes

Future

mobility

needs

・ Increasing congestion with increasing population

・ Lack of parking space

・ Further development of public transport modalities

・ “Super-aging” of the population,

population decline・ Scrapping of public transport

Daily commutes to work or a hospital, shopping, and travels on days off

Door-to-door personal space

Depopulated

regions

・ Physical dispersion of facilities

・ Inadequate public transport

Suburbs

Regional areas

Revolution in mobility through automated driving is expected

3

Creating freedom

of time and space,

make travels enjoyable

Provide freedom of mobility

for everyone

whenever s/he needs it

Realize

collision-free society

(zero human error)

Collision-free Society with the Joy & Freedom of Mobility for Everyone

4

Sense of Confidence and Trust

• Neither approach nor create risky situations

• No anxiety for either a driver or other road users

High Level of Ride Comfort

• Smooth and natural driving characteristics

• Comfortable trips with fun ride

Provide a driver with complete confidence,

prompting the urge to get out on the road

5

2000 2010 2020

Collision-free Society Joy & Freedom of Mobility

YEAR

CMBS

Traffic Jam Assist

●Automated Highway Driving

LKAS/ACC

i-ACC

Workload Reduction

● Automated Surface Street Driving

●Level 4 Automated Driving

Technolo

gic

al evolu

tion

Injury Mitigation

Recognition Support

Collision Avoidance

Narrow offset

Pop-up hoodACE body

Pedestrian protection

City-Brake Active System

ACC with Low-Speed Follow

Pedestrian Collision Mitigation Steering

LaneWatchMulti-view Camera System

Traffic Sign Recognition

Road Departure Mitigation

Night Vision

V2V / V2I communication

Omni-directionalOblique

All-weather

6

Predict and mitigate collisionsDetect vehicle in front using millimeter-wave radar sent from transmitter in front grill

Primary warning Secondary warning Damage mitigation

Encourage drivers to take evasive action Driving assistance, collision mitigation

WarningBrake

WarningBrake

Weak Weak WarningBrake

Strong Strong

2003: World first

7

Responds to high speed

accident

Responds to diverse accident scenarios

Camera Image

recognition

Horizontal control

system function

Integration of sensor

data

Vertical control system

function

Monocular

color camera

77 GHz Millimeter-wave

radar

CameraRecognition of

target object

attribute and

size

RadarRecognition of

target object

position and

speed

Driving Support not only for daily driving but also for collision avoidance

8

Collision Avoidance

Collision Mitigation Braking System (CMBS)

For pedestriansFor preceding vehicles

! Oops

LKAS(Lane Keeping Assist System)

Lead Car Departure Notification System Traffic Sign RecognitionAdaptive Cruise Control (ACC)

with Low-Speed Following

Start

ping

Following

Assists a driver

to keep its lane

Detect departureOf proceeding car

Preventive Safety

© Honda R&D Co., Ltd. All rights reserved.

World’s first Japan's first

Road Departure Mitigation (RDM)

Pedestrian Collision Mitigation Steering

False Start Prevention Function

9

Map ECU +

High-Definition map

TCU(Telecommunications Unit)Backend server

Driver Monitor Camera

Monitoring of driver’s

face direction

Center display (NAVI)Grip sensor

Steering torque detection

Full-LCD meter

Coordinate matching

Lane marking correction

Distance and velocity of obstacles

Selection of optimum

target trajectory

Main-ECU

Head-up display

Steering wheel Indicators

＜Stop＞Redundancy of braking

＜Power supply＞Addition of DC/DC power source + 2nd battery

Multi-GNSS ANT

LiDAR×5 Sub-ECU2

Radar×5 Sub-ECU1

Camera

Camera

Radar Fusion

LiDAR Fusion

＜Turn＞Redundancy of EPS

10

Automated driving

within a lane

Automated pilot

in traffic congestionMerging assistance

Driving

scenarios

Surface street

~GateMerging

Main line

Branching

Request from HMI for transition

of driving task

Lane keeping Traffic jam following Automated lane changing

Relaxed posture

(Hands-free)

Relaxed posture

(Hands-free)

Viewing and operating

TV, etc.Reduced steering wheel

operation

Benefits for

users

Towarddestination

Automated drivingin multiple lanes (serial lane changing towards destination)

11

■Scene understanding and risk prediction●Functions required

for automated driving

1. Keep away from any risk

2. No anxiety to other road users

3. Drive smoothlySubject

vehicle

Rsk

Scene understanding and risk prediction are essential

for automated driving on complex surface streets

Recognition / Scene Understanding / Prediction

Identification of

attributes

Scan a scene

Scene

Understanding

Understand a situation

Risk prediction

Predict future actions

・Oncoming vehicle

will avoid a parent

and a child・Child might jump out

Application of AI technology

Action Plan

Decision on

behavior

Decide how to behave

Perception

of relationships

Recognize each location

・A child shaking a hand

・Standing on a sidewalk

・Looking at the opposite

sidewalk

Trajectory

generation

Generate low risk trajectory

ActionVisual

information

■Scope of AI technology application

12

Detection of objects’

attributes / distance

using Deep Learning

is dramatically improving

performance in the areas of:

AI technology is improving recognition performance remarkably,

whether during daytime or nighttime

■Detection of drivable space

■Vehicle detection

■Pedestrian detection

■Nighttime

Detection of stop positions at intersections

Pedestrian detection Nighttime

Drivable space detection

13

Support fuel-efficient, safe, and smooth driving using traffic signal information from advanced IR light beacons

■Configuration of on-board system

Traffic Control Center

Pass throughtraffic lights

Red light deceleration

Delayed start prevention

■Effectiveness

• Advanced IR light beacon receiver

• Meter display HMI

Show time to green light

Shows when to release the gas pedal

Shows right speed to pass

Strong acceleration / declaration reduced

World’s 1st

※as V2I by IR light beacon

V2I Infrastructure（IR beacon）

Acceleration

Distribution

Introduced in May, 2016

ACCORD

14

Conducted with the approval of the Honda R&D Co. Bioethics Committee

Drivers

Vehicles used

Test period

Driving time period

Method of driving

During support

Test drivers

(system developers)

FIT 1.5-L gasoline

vehicle

Without support 5 days

With support 5 days

07:00 to 21:00

Drive according to supporting

recommendations

66 commuters

(non system developers)

Test subjects’ commuter

vehicles

Without support 4 weeks

With support 4 weeks

Test subjects’ commuting

times, mainly

Free driving

Micro AVENUE

i-Transport Lab. Co., Ltd.

1 day Recreates traffic volume

on July 22, 2014

06:00 to 22:00

Drive according to supporting

recommendations

Evaluated the potential

effectiveness

Evaluated the effectiveness

in terms of actual use

Evaluated the influence

on overall traffic flow

Step 1 Step 2 Simulation

15

Traffic volume by time periodOct. 7-9, 2014 (same as at time of road traffic census)

Assumed fuel economyCongested : Step 2 (total)

Non-congested : Step 2 (daytime)

Estimate effect from total fuel consumption

for all vehicles driving over a 24-hour

0 2 4 6 8 10 12 14 16 18 20 22 (Hour)0

100

200

Am

oun

to

f d

ata

(Ste

p 2

)

300

Commuter congestion period

Daytime

Ra

te o

f im

pro

ve

me

nt [%

]

Step 1

Eastbound Westbound0

4

8

12

11.39.9

Eastbound WestboundEastbound Westbound

Step 2

0.42.2

Step 2(Daytime)

8.27.3

Effectiveness in terms of actual usability

Eastbound Westbound

4.5 5

Potential effectivenessEstimation

(over 24-hour period)

The effect is limitedsince much driving is done during congested time periods

16

Simulation scene

14

12

10

8

6

4

2

00 20 40 60 80 100

All vehicles

Without support

With support

Penetration rate of Vehicles with TSPS [%]

Ave

rage

of fu

el e

co

no

my

Imp

rove

me

nt [%

]

Even with low penetration rate of

supported vehicle,

fuel economy also improves for

vehicles without support

Approximately 13%

fuel economy improvement effect

17

During the Great East Japan Earthquake, information was provided on "what roads are usable now" obtained from vehicles

equipped with Internavi that had actually used those roads①

When earthquakes of a lower 6 or higher intensity, local severe rain, or other such disaster occurs, information on it is distributed

on web maps and car navigation systems②

Information is also provided for the actual road use data collected and organized by ITS Japan(Information provided by Honda Motor Co., Ltd., Pioneer Electronic Corporation, Toyota Motor Corporation, Nissan Motor Co., Ltd., Fujitsu Limited, Isuzu Motors Limited, and UD Trucks)

③

Information on actual road travel conditions

made public the morning after the Great East Japan Earthquake From the ITS Japan website

Contribute to disaster recovery and driver safety using floating car data

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Make optimal movement synchronizing with surroundings to avoid unnecessary disorder

in traffic flow and create smoother traffic environment not only for oneself but also for

every other driversSafe Swarm

Like a school of fish

Evolution by autonomous sensing

2002

LKAS

2003

CMBS

2014

Honda SENSING

Highway

Automated Drive

Predictable Info（by Telematics）Visible Risk

(by Onboard Sensors)

Invisible Risk（by V2X）

Accident

Create cooperative safety integrating autonomous sensing and V2X

Synchroniz

e speeds

Earlier

deceleration

Earlier

lane-change

Safe Merge Phantom Traffic Jam Prevention Hazard Prediction

19

Correlation analysis and analysis of common elements

Association analysis and decision tree analysis

Big data analysis

Anthropomorphism and agency

HMI and robotics

20

A society in which multiple types of enterprises connect, collaborate, compete, and co-create

Infrastructure cooperation

Smart city

Use-linked insurance

Home appliance

collaborationPedestrian-vehicle

communication

Retailer collaboration

Mobility

Smart gridEcosystem

creation

Public and

private sector

People and cars

Collaboration by

different types

of business

Cars and towns

Security DSRC

5G

AI

Dynamic mapping

Automated driving

Driving support