Transcript of Cooperative crash prevention using human behavior monitoring Susumu Ishihara*† and Mario Gerla†...
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- Cooperative crash prevention using human behavior monitoring
Susumu Ishihara* and Mario Gerla (*Shizuoka University / UCLA)
Danger ! ! !
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- I started living in LA Aug. 2014.
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- I bought a used car on Sep. 5 110,000 mi Corolla 2005
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- Right front wheel was slanted! 5 min. after leaving the car
shop, the car was crashed!
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- What I thought then I have to concentrate on driving. I do not
want to die on the road. I have to concentrate on driving. I do not
want to die on the road. But if the driver of a car behind is
sleepy, my car might be crashed even if I am careful. But if the
driver of a car behind is sleepy, my car might be crashed even if I
am careful. What can I do to protect myself? What can I do to
protect myself?
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- The driver behind you may be
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- and you may be
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-
http://www.tampabay.com/news/publicsafety/drivers-seizure-history-could-lead-to-charges-in-fatal-tampa-crash/1198731
Dozens of people have seizures while driving each year, causing
collisions.
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- Vehicular Collision avoidance Car2Car communication and Sensors
(RADAR, LIDAR, Camera) are (/will be) used for vehicular collision
avoidance. Car2Car communication and Sensors (RADAR, LIDAR, Camera)
are (/will be) used for vehicular collision avoidance. But the
requirement of communication performance for collision avoidance is
not clear. Sensors can be used for monitoring drivers behavior
Sensors can be used for monitoring drivers behavior Apple watch may
detect that you are sleepy. Message Frequency? Message reliability?
Transmission Range? 9
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- Cooperative crash prevention using human behavior monitoring
Automated Vehicle Platoon / Normal Vehicles The driver is
distracted The driver is sleepy How to react to the alarm? We need
a longer distance to to other cars to prevent an accident. Alarm
Zzz Alarm Change the signal pattern to make a space V2V V2I 10
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- Issues Drivers behavior sensing When to send alarm? User
interface to the danger driver and other drivers. How other
vehicles/drivers react to the alarm? Credibility of alarm Privacy /
Incentive to provide sensor data Feasibility - Is it useful in real
environments? 11
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- Drivers behavior sensing What to sense Sleepiness / Excitement
/ Seizure Chatting / Looking away / Eating Others. (Natural born
danger driver?) Sensors Camera (incl. IR-camera) Microphone
Heartbeat with wearable devices, seat Steering wheel / Pedal GPS,
CAN(Controller Area Network) Sensors of other car Camera 12
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- Issues Drivers behavior sensing When to send alarm? User
interface to the danger driver and other drivers. How other
vehicles/drivers react to the alarm? Credibility of alarm Privacy /
Incentive to provide sensor data Feasibility - Is it useful in real
environments? 13
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- User Interface Be careful! The driver of the car behind you is
sleepy. Yeah, but me too. Vibration Blinking light 14
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- Issues Drivers behavior sensing When to send alarm? User
interface to the danger driver and other drivers. How other
vehicles/drivers react to the alarm? Credibility of alarm Privacy /
Incentive to provide sensor data Feasibility - Is it useful in real
environments? 15
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- How other vehicle react to the alarm? To avoid collisions,
vehicles should move adaptively to the behavior of the danger
vehicle. Predicting the movement of the danger car. We need a lot
of data of drivers to obtain the model of danger cars! How to
collect the data? / incentive? Zzz Where does the car go?
F(driver_type, sleepiness, interface_type, speed, distance to other
cars, ) 16
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- Driver Model Sensors To: Other cars Zzz Steering, Speed up /
slow down Visual /Sound Information Alert: Danger Car Assistant
Message e.g. Slow down Visual /Sound Information Steering, Speed up
/ slow down ! Alert Controller Interface Wake up! Interface 17
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- Issues Drivers behavior sensing When to send alarm? User
interface to the danger driver and other drivers. How other
vehicles/drivers react to the alarm? Credibility of alarm Privacy /
Incentive to provide sensor data Feasibility - Is it useful in real
environments? 18
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- Credibility of alarm False positive Makes the system
unbelievable He is sleepy. Really? May commit libel If many
(incredible) alarm signals generated? Need Filtering? If malicious
drivers/cars generates fake alarm? If the alarm generating device
is broken? If the wireless network is congested? X: Im awake. X is
sleepy. 19
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- Issues Drivers behavior sensing When to send alarm? User
interface to the danger driver and other drivers. How other
vehicles/drivers react to the alarm? Credibility of alarm Privacy /
Incentive to provide sensor data Feasibility - Is it useful in real
environments? 20
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- Privacy Do you provide your sleepiness information to others?
NO? But if your car insurance is discounted by providing the
information? But if the system may produce false positive? Before
we start the service, we need to collect large amount of data about
sleepiness, etc. of drivers. 21
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- Issues Drivers behavior sensing When to send alarm? User
interface to the danger driver and other drivers. How other
vehicles/drivers react to the alarm? Credibility of alarm Privacy /
Incentive to provide sensor data Feasibility - Is it useful in real
environments? 22
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- Feasibility Real-World Testbed Important, but Expensive
Simulators Humans, Alarm, Vehicles, Road, Communication 23 Veins:
Multiple driver models, vehicle movement + wireless comm.
Scenargie: Multi-Agent simulator, GIS, wireless comm. Is it useful
in real environments?
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- Conclusions Lets use drivers behavior info for ARAMING to other
cars Issues Drivers behavior sensing /When to send alarm? User
interface to the danger driver and other drivers. How other
vehicles/drivers react to the alarm? Credibility of alarm Privacy /
Incentive to provide sensor data Feasibility - Is it useful in real
environments? 24
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- Thank you! Susumu Ishihara ishihara.susumu@shizuoka.ac.jp
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- Diffusion Scenario First step Stand alone My car / smart phone
alerts me Owner of the system will be safe, if the he/she realizes
the alert even if he/she is sleepy. Second step Cooperation (with
low penetration ratio) Cars / smart phones of others alert me Owner
of the system (capable of receiving the alert) will be save even if
other drivers are sleepy Third step Every car has the system We all
are safe
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- Driver Behavior Databases Japan - 2004 100 drivers, Total
30,000 km drive on real roads Data Location, Speed, Acceleration
Pedal (Accel. Brake) Steering No data about drivers face, eye, and
body movement
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- Feasibility Is it useful in real environments? We need the
system requirements Reliability of sensing / Credibility of Alarm
Communication characteristics, etc. How to validate the system?
Test on real roads Danger / High cost Simulation Driver model
sleepy drivers, normal drivers Vehicle model cars, trucks,
motorcycle, bikes, ped. Road model Intersection, Highway, etc.
Communication model - New protocol needed? 29