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Nagoya University Center of Innovation (COI)-Empowering an aging society through advanced mobility-
August 22, 2017
Vice Research Leader, Nagoya University COI
Professor Hirofumi Aoki, Ph.D.
The 18th International Conference on Industrial Technology Innovation (ICITI, 2017)
ICITI 2017 2
What is “Center of Innovation”?
Research funding by the Ministry of Education (MEXT) through Japan Science and Technology Agency (JST),(from Nov., 2013 to Mar. 2022)
ICITI 2017 3
What is “Center of Innovation”?
ICITI 2017 4
Nagoya(名古屋)
ICITI 2017
-Empowering an aging society through advanced mobility-
The Objective of Nagoya COI activities
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TOYOTA MOTOR CORPORATIONDENSO CORPORATIONTOYOTA CENTRAL R&D LABS., INC.Aichi PrefectureNational Institute of Advanced Industrial Science and Technology Tokyo University of Agriculture and TechnologyAichi Prefectural University
MobilityResearch
FUJITSU LIMITEDInformationInfrastructure
Research
AGC ASAHI GLASSDaily
HealthcareInfrastructure
Research
Panasonic CorporationSustainableInfrastructure
Research
CooperativeResearch
The University of TokyoToyota CityNagoya City
Participating Organizations in Nagoya COI
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Driving Assistance System and Autonomous Cars for safe and reliable mobility
Physical Conditions and Mental Inspiration to stimulate going outside
Participatory Society to foster mutual aid and self-respect
Vitalizing the aging society by mobility advances
Three Pillars to Realize the Objective
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1 【Driving Assistance System and Autonomous Cars for safe and reliable mobility】Provide an enjoyable mobility experience even for those who cannot or do not like to drive
Proactive driving assistance, Slocal (slow and local) autonomous driving®, Driver agent, Dynamic map, Stress-free traffic management
Activity recommendation, Walking assistance robot, Casual sensing device
Use the personal information gathered through casual sensingto maintain physical and mental health
2 【Physical Conditions and Mental Inspiration to stimulategoing outside】
Model community building, Social science assessments
Create a social system that inspires self-efficacy among seniors through social participation
3 【Participatory Society to foster mutual aid and self-respect】
Three Pillars and R&D Items
Vitalizing the aging society by mobility advances
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ICITI 2017
1 【Driving Assistance System and Autonomous Cars for safe and reliable mobility】Provide an enjoyable mobility experience even for those who cannot or do not like to drive
Proactive driving assistance, Slocal (slow and local) autonomous driving®, Driver agent, Dynamic map, Stress-free traffic management
Activity recommendation, Walking assistance robot, Casual sensing device
Use the personal information gathered through casual sensingto maintain physical and mental health
2 【Physical Conditions and Mental Inspiration to stimulategoing outside】
Model community building, Social science assessments
Create a social system that inspires self-efficacy among seniors through social participation
3 【Participatory Society to foster mutual aid and self-respect】
Three Pillars and R&D Items
Vitalizing the aging society by mobility advances
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Recognition Judgement
Operation
Mobility Research
Path planning based on a driving AI
Assistance with proactive driving
Senior drivers’ database
Environment recognitionSituation assessment
- System works like a driving instructor offering safety tips to senior drivers -
Driver Agent support system
Cooperative assistance
Advanced Driving Assistance System
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High performance environment recognition
Pedestrian Detection
Recognition rate(Caltech Benchmark)(1/10 frames error rate)
Conventional(HOG+SVM) 32%Past(Dn’MI) 63%Cutting-edge(Checkerboard, 2015: speed×) 82%
Proposed(EIN Dn’MI) 73%
World top level performance in pedestrian detection using Deep Learning
90% pedestrian detection rate with faster algorithm
Hig
h p
erf
orm
ance
Traffic accident risk prediction: High accuracy detection Target attribute recognition
Pedestrian detection and target attribute recognition(orientation, adult/child, walking while looking at the smart phone)
Environment Recognition
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Achieve the planned path performance
in various traffic environments.
Planned path
Driving data
Artificial Intelligence (AI) learns from good driving data and generates a path according to the environment.
Supervisory Driver Assistance System
Path Planning Based on a Driver Model
Position Error: 14cm Velocity error: 3.7km/h
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The effectiveness of the system was tested with 80 senior drivers, comparing their driving behaviors before and after they experience the driver assistance system.
Driving skills are improved after the experience of the driver assistance system.
Supervisory Driver Assistance System Education effect of the system
Cooperative Assistance
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Post- Post-
Steering wheel with LED↓
Gas pedal vibration↓
Steering control intervention
Risk factor;Hazard without direct view (e.g., cross traffic)
Risk factor;Hazard with direct view (e.g., walking pedestrian)
ICITI 2017
Research on Features of Senior Drivers
Database Institution cognitive visual physical driving
behaviorfollow-
upsample & notes
TC/DS DR
Data repository for human life-driving anatomy (Dahlia)
Nagoya COI ○ ○ ○ ○ ○ ○ ○50-95 years,300 drivers
Research on elderly drivers (III)
JSDC (Japan) × ○ × ○ × × ○68-90 years, 191 drivers(report in March 2014)
Driving behaviordatabase
HQL (Japan) × × × ○ × ○ ○20-71 years, 97 driversNEDO project (2001-2003)
The salisbury eye evaluation and driving
studyNHTSA (US) ○ ○ × △ × ○ ×
67-87 years, 1155 drivers,5days Driver Monitoring System (Round2)
Maryland pilot older drivers study
NHTSA (US) ○ ○ × ○ × × ×55-96 years, 2508 drivers(1996-2003)
Factors associatedwith driving
performance of older drivers
University of Nebraska
○ ○ × ○ × ○ × 65-88 years,105 drivers
Candrive IICandrive II Research
Team (Canada)○ ○ ○ ○ × × ×
70-94 years, 928 drivers(577 males and 351 females)from 2009
Driving of cognitivelyimpaired elderly
peopleNCGG (Japan) ○ ○
65 years and more,10,000 drivers,Cognitive function test of questions, 2011-2013
Database for the assistance of senior drivers
On-road experiment
Driving aptitude test
Driving simulator experiment
Building an effective basis
to develop assistance systems
for senior drivers.
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Driving Assistance with the Dynamic Map for Senior Drivers
POV
PredictedPositions
Traffic Simulator
Lane-change request to the driver
Senior’s own vehicle
Drive in DS connected with traffic simulator
Simulation-based Evaluation EnvironmentDynamic Map (DM) shares vehicles’ (the senior’s own vehicle and principal other vehicle (POV’s)) information (i.e., position, direction, velocity) on a virtual map via network
Use Case
The POV that receives the lane-change request moves to the next lane for smooth merging.
Traffic safety, driver’s stress mitigation
Effectiveness of DM can be evaluated with the simulation
system in virtual environments.
Driving Simulator (DS)
Static Info.
Dynamic Info.
Predicted Info.
Map Info.
Dynamic Map(Our prototype system)
Dynamic Map View
CollisionDetection
Lane-based Navigation
QueryQueryQuery
Dynamic Map (DM)
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1 【Driving Assistance System and Autonomous Cars for safe and reliable mobility】Provide an enjoyable mobility experience even for those who cannot or do not like to drive
Proactive driving assistance, Slocal (slow and local) autonomous driving®, Driver agent, Dynamic map, Stress-free Traffic management
Activity recommendation, Walking assistance robot, Casual sensing device
Use the personal information gathered through casual sensingto maintain physical and mental health
2 【Physical Conditions and Mental Inspiration to stimulategoing outside】
Model community building, Social science assessments
Create a social system that inspires self-efficacy among seniors through social participation
3 【Participatory Society to foster mutual aid and self-respect】
Three Pillars and R&D Items
Vitalizing the aging society by mobility advances
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Watch over everyday life
Collecting continuous daily activity database
Information Platform Research
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Inspires seniors to go outside using real-time activity recognition.
Signals from multiple sensors embedded in the smartphone(e.g., acceleration and sound)
-> 91% recognition accuracy for nine kinds of daily activities.
Twitter Bot can encourage seniors based on the recognized daily activities
Information Platform Research
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“Casual sensing” of health condition in living spaceGrasp our own physical and mental conditions from ordinary living
environments to support daily life according to the conditions.Casual sensing
Noncontact brain waves measurement
Noncontact pulse wave measurement
Pulse wave measurement with miniaturized all-crystal load sensor
Field demonstration has started by prototype of biosignal sensing system with non-contact sensors.
Smart chair
Sustainable Platform Research
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Casual Health Sensing in Daily Life
Intellectual Glass
Bioaerosol measurement
Outside
Home
Car
Microfiltration glass
10 μm separation structure
Single-cell Isolation!
Bioaerosol
・10,000 particles in a cough・0.01~100 μm in size・Biological components・Bacteria and viruses・Fatigue and stress markers
Daily Healthcare Platform Research
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1 【Driving Assistance System and Autonomous Cars for safe and reliable mobility】Provide an enjoyable mobility experience even for those who cannot or do not like to drive
Proactive driving assistance, Slocal (slow and local) autonomous driving®, Driver agent, Dynamic map, Stress-free Traffic management
Activity recommendation, Walking assistance robot, Casual sensing device
Use the personal information gathered through casual sensingto maintain physical and mental health
2 【Physical Conditions and Mental Inspiration to stimulategoing outside】
Model community building, Social science assessments
Create a social system that inspires self-efficacy among seniors through social participation
3 【Participatory Society to foster mutual aid and self-respect】
Three Pillars and R&D Items
Vitalizing the aging society by mobility advances
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Through Mobility Enhancement, Outing Promotion, andHealth Maintenance, we are to upgrade the well-being in aging communities.
Pleasant Outing
Unconstrained Mobility
Healthy Daily Life
“Mobility Blend” Micro EV usageSlocal (slow and local) autonomous driving®
Outing promotion Activity monitoring
Community point
Commitment of local residentsBuilding a Role-Model of
Exploiting Mobility
for Semi-Mountainous
CommunitiesAsuke Mobility Project is supported by TOYOTA Mobility Foundation .(2016~)
Started a pilot projectin Asuke Region of Toyota City
Pilot Project: Model Community Building
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Community Support System (CSS)
CSS works as a bonding agent and fillers to the existing community system.
Community Support
System (CSS)
Mobility Blend
Existing community bus
Proposed ride-share
Proposed micro EV
Outing Promotion
Health Maintenance
Existing activities
Existing health care
Proposed motion
monitoring
Mutual Aid Promotion Point
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Proposed taxi-share
Proposed activities
ICITI 2017
Mobility Blend
Ride-share
モビリティスポット
•Promote outings•Facilitate transfers among various transport
modes including inter-district one
•Enhance mobility utilizing various transport modes
Mobility Center
•Monitor health conditions•Provide tablets for CSS
DR Bus
Taxi-share
Micro EV
Mobility Spot
DR Bus
Slocal Autonomous Cars
Slow PM
Trunk Route Bus
Home
Home
Home
Mobility Spot
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Toward an Open Innovation Platform using COI Program
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NU MIRAI2020Nagoya University Matsuo Initiatives for Reform, Autonomy and Innovation 2020
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Academic Research & Industry-Academia-Government Collaboration Division
(Est. 2013)
Institutes of Innovation for Future Society (Est. 2014)
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Nagoya COI is one of the projects of the Institutes
ICITI 2017
Collaborative and educational activities in Nagoya COI
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R&D testbeds
Establish R&D testbeds for Industry/Academia collaborations
Industry/academia collaborations
Young researchers’ appointment
Challenging exploratory/collaborative reseaech by young researchers
Outreach activities(Tactics committee by young researchers and university research administrators)
Human resources development/education
Bus stop
Senior’s house
“Last mile” autonomous vehicle