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The tricky road to autonomous cars

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A self-driving car is hyper-communication: a system communicating with more elements, more frequently, and in real-time  But to what extent can unmanned vehicles trust communication to make their own decisions? In other terms, how autonomous will be autonomous cars, once they reach the so-called ‘fifth level of autonomy’? 樂
Spindox is involved in 2 different research programs working on this question. We will give our vision for the mid-term scenario, from both a technical and a business perspective: architectural view, industry role, sourcing and delivery strategies. More specifically, we are presenting a proposed model for the data layer within this architecture, that addressed most of foreseen technical issues 

Published in: Automotive
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The tricky road to autonomous cars

  1. 1. THE TRICKY ROAD TO AUTONOMOUS CARS WHAT WE SEE, WHAT WE ARE DOING [SPECK&TECH, FEB. 27 2017]
  2. 2. Just a game for geeks?
  3. 3. AT A GLANCE 3 Cars are communication machines Connected cars need to play with a smart environment What we see and do (Torino, Detroit, Trento) A deep dive on technology: the central nervous system
  4. 4. “AUTONOMOUS” DOES NOT MEAN “ISOLATED”
  5. 5. The new heart of the car
  6. 6. Data is the new oil 4,000 GB per day, each day RADAR 10-100 KB per second CAMERAS 20-40 MB per second SONAR 10-100 KB per second GPS 50 KB per second LINDAR 10-70 MB per second Source: Intel, 2017
  7. 7. Spending by 2017: $29.6 billionconnected vehicles $16.5 billionsmart transportation systems Source: IDC, 2016
  8. 8. Silicon Valley vs Detroit: who’s winning?
  9. 9. “Making rockets is hard, but making cars is really hard.” Elon Musk
  10. 10. The end of personal car ownership model?
  11. 11. Beyond LIDAR
  12. 12. There is a light at the end of the tunnel
  13. 13. FOG FOG FOG CLOUD In-car and car-to-car communications are decoupled Fog deals with cloud connectivity DEVICE-TO-CLOUD COMMUNICATION Fog computing
  14. 14. Service Delivery Platform
  15. 15. Service Delivery Platform
  16. 16. CONTAINER-BASED VIRTUALIZATION 17
  17. 17. 18 - Discrete piece of logic, with narrow functional boundaries - Isomorphic code - Multiple instances of the same artifact MICROSERVICES
  18. 18. Marrow, neurones and synapses
  19. 19. Central nervous system Towards a universal mechanism of communication between microservices
  20. 20. GATHERINGPROCESSINGCONSUMPTION Messagebus Data source -n Data source -n Data source -n Data source -n Data source -n Communication in plain text format on TCP Module -n Module -n Module -n Module -n Module -n Module -n Module -n Module -n Module -nModule -n Module -n Ruleengine Dashboard App Analytics
  21. 21. Yes, the road ahead is still tricky!

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