"No one is harder on a talented person than the person themselves" - Linda Wilkinson ; "Trust your guts and don't follow the herd" ; "Validate direction not destination" ;

October 12, 2018

Tesla Autopilot Object Detection


Came across this interesting article How a Tesla computer “sees” the streets of Paris



Labels in Frame
  • Lanes (Yellow)
  • Speed (White)
  • Type of Vehicle (Red)
  • Signals in that Lane
  • Alerting when vehicle before is stopped
  • Dimension (Length of Vehicle)
  • Pedestrian Detection / Speed
  • Boundary of detected objects















Even if we take a frame and split into candidate windows, The operation is near real-time classification. It would be interesting to know the technique here RegionalCNN / CNN / Mask-RCNN how this network would like. Since this runs on the vehicle model may be deployed within the vehicle. The model size/frame size / overall architecture would be interesting to learn.

One more interesting Night Vision of Tesla I spotted recently





Tesla Model 3 saved me from r/teslamotors

ADAS - Link







Software Engineering Within SpaceX


Tesla is coming up with driver monitoring features. From the link the 

Detection / Classification Classes are
  • BLINDED
  • DARK
  • EYES_CLOSED
  • EYES_DOWN
  • EYES_NOMINAL
  • EYES_UP
  • HEAD_DOWN
  • HEAD_TRUNC
  • LOOKING_LEFT
  • LOOKING_RIGHT
  • PHONE_USE
  • SUNGLASSES_EYES_LIKELY_NOMINAL
  • SUNGLASSES_LIKELY_EYES_DOWN
Mercedez enters the Race



Ref - Link


Happy Object Detection and Driving!!!

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