cooperative crash prevention using human behavior monitoring susumu ishihara*† and mario gerla†...

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  • Slide 1
  • Cooperative crash prevention using human behavior monitoring Susumu Ishihara* and Mario Gerla (*Shizuoka University / UCLA) Danger ! ! !
  • Slide 2
  • I started living in LA Aug. 2014.
  • Slide 3
  • I bought a used car on Sep. 5 110,000 mi Corolla 2005
  • Slide 4
  • Right front wheel was slanted! 5 min. after leaving the car shop, the car was crashed!
  • Slide 5
  • 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?
  • Slide 6
  • The driver behind you may be
  • Slide 7
  • and you may be
  • Slide 8
  • 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.
  • Slide 9
  • 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
  • Slide 10
  • 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
  • Slide 11
  • 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
  • Slide 12
  • 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
  • Slide 13
  • 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
  • Slide 14
  • User Interface Be careful! The driver of the car behind you is sleepy. Yeah, but me too. Vibration Blinking light 14
  • Slide 15
  • 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
  • Slide 16
  • 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
  • Slide 17
  • 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
  • Slide 18
  • 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
  • Slide 19
  • 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
  • Slide 20
  • 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
  • Slide 21
  • 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
  • Slide 22
  • 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
  • Slide 23
  • 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?
  • Slide 24
  • 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
  • Slide 25
  • Thank you! Susumu Ishihara [email protected]
  • Slide 26
  • 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
  • Slide 27
  • Slide 28
  • 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
  • Slide 29
  • 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