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LTKA-04-02a

Eueung Mulyana
February 14, 2014

 LTKA-04-02a

Layanan Tersambung dan Komputasi Awan (Connected Services and Cloud Computing) - Internet of Things (IoT) : Overview of Smart Objects, Wearables, Connected Vehicles / Cars

Eueung Mulyana

February 14, 2014
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  1. ET-3010 CONNECTED THINGS - PART 2A IOT - IOE H1/2014

    Dr.-Ing. Eueung Mulyana School of Electrical Engineering and Informatics Institut Teknologi Bandung
  2. OUTLINE 1. Introduction 2. Facts and Opportunities 3. System Overview

    4. Use Cases - Overview 5. Use Cases - Connected Vehicles 6. Use Cases - Connected Drones 7. Use Cases - Smart Home/Building 8. Use Cases - Smart City
  3. CONNECTED VEHICLES - DELGROSSI Connected vehicles interact with each other

    (V2V), the roadside (V2I), and beyond (V2X) via wireless communications Technologies: Cellular, WiFi, DSRC (Dedicated Short Range Communication, 5.9 GHz) Most effective when vehicles, roadside infrastructure (such as roads and highways), and backend (telecommunications and Internet backbones) work together.
  4. CONNECTED VEHICLES: WHY? Extended Connectivity (Home/Office Continues in the Car,

    Connected Travellers, IVI) Enhanced Driving Experience (Navigation, Active PoI, Traffic Management, Mobility, Rerouting) Improved Safety (Situation Awareness, Collision Avoidance, Post-crash Assistance)
  5. LINES OF CODE F-22 Raptor : 1.7 M Boeing Dreamliner

    : 7 M Average new Ford : 10 M Premium Cars : 100 M
  6. MODERN, PREMIUM VEHICLES 100 ECUs Example: X-by-Wire, Adaptive Cruise Control,

    Parking, Lane Departure Warning and Engine Management Driven by Software Cost of electronics/software: 35% - 40% in premium cars (for hybrid it is even higher!)
  7. COMPUTERIZED MEASUREMENT Speed Heading Acceleration (lateral, longitudinal, vertical) Position (from

    GPS) Others: Wipers on/off, Braking status, Tire pressure, Steering wheel angle, Headlights on/off, Turn signals on/off, Rain sensors, Stability control, etc.
  8. LEGACY V2V & V2I COMM. Low-tech communication with other vehicles:

    Brake lights, Turn signals, Horn, Flash headlights V2I Not Much Better We want to know where vehicles are, what they’re doing Infrastructure-to-Vehicle: Difficult to communicate with the driver both in real-time and across a wide area →
  9. CONNECTED VEHICLES - CASE Transmit data from the vehicle (Captured

    from GPS, accelerometers, magnetometers, or in-vehicle sensors) Transmit to other vehicles or roadside equipment (Cellular, Bluetooth, WiMAX, Wi-Fi, DSRC)
  10. CONNECTED VEHICLES - POTENTIAL V2V: Electronic Brake, lights Crash Avoidance

    V2I: Incident Detection, Weather/ice Detection I2V: Broadcast Traffic Signal Timing, Dynamic Rerouting
  11. COMPONENTS Sensors: Perceive Dynamic, Real-Time Environmental Properties GMaps: Stored In-Context

    Maps and Other Related Databases AI: The Brain (Google Chauffeur)
  12. COMPONENTS Sensors: LIDAR, Video Camera, Position Estimator (Location and Movement

    Tracker), Distance Sensor GMaps: Speed Limits, Upcoming Intersections, Traffic Report, Nearby Collisions, Directions AI: How Fast to Accelerate? When to Slow Down? When to Steer the Wheel?
  13. TRIALS 2012-August: 300 miles (480 km) - 2 Accidents (Human?)

    2013-Sept: 500 miles (800 km) - 12+ Cars
  14. LIDAR @ GOOGLE CAR 360 Degrees 64 Laser Beams Accurate

    to About 11 cm Measurement Distance ca. 60 m (197 ft) USD 70K/150K Equipment Cost
  15. CREDITS 1. Ilya Baraev (@baraev), Internet of Things - Trend,

    http://www.slideshare.net/baraev/internet-of-things-trends​ 2. Noah Goodall, VDOT’s Connected Vehicle Program, Virginia Center for Transportation Innovation and Research 3. Luca Delgrossi, Vehicle Communications, http://goo.gl/xDXuMV 4. http://mashable.com/2013/05/03/google-self-driving-car- sees/ 5. http://www.popsci.com/cars/article/2013-09/google-self- driving-car 6. http://www.slideshare.net/elan_chezhian94/google- driverless-cars