Has anyone driving your Tesla experienced a strange or dangerous situation, or even a crash? (If you weren’t there, unless there was a crash or traffic ticket, how would you even know?)
If so, were you later able to get a clear understanding what the driver &/or Autopilot did in the critical seconds just before it?
We believe it’s currently too hard and sometimes impossible to know. That’s why to solve that problem we’re building MaxSavr® Driving Data Systems. We have a prototype working, and now need insights from potential customers.
So if you own a Tesla and this sounds interesting, please click here to see details and complete a short interest survey: MaxSavr® Driving Data Systems . It’s only 8 questions, nearly all only require a click or two to answer, and it shouldn’t take more than 10 minutes. After you finish and click Submit, you'll receive an e-mail with the questions and your answers.
Here's an example of MaxSavr's full capabilities.
Situation Replay details:
Tesla Model X with Autopilot 2.5 in control, approaching slower motorcycle at night
MaxSavr® Visualizer radar-view explained, including tailgating detection & Autopilot:
Tailgating detection lights at bottom left are based on distance and Tesla's speed
-- yellow is "close"; orange is "closer"; and red is "too close"
Parallel green lines are Tesla's current path straight ahead from 0 to 200 meters
Tesla is at position 0 and currently driving straight ahead
Forward-moving object detected straight ahead (motorcycle in video view)
-- is small blue circle when in Tesla's current path
-- becomes small blue square when it leaves Tesla's current path
Small grey squares are out-of-path stationary objects
Autopilot is active (when both Adaptive Cruise & Lane Keeping are "Yes")
-- driver expected to immediately take control in case of Autopilot error
-- limited to set speed (70 MPH here, and Accel Pedal % = 0 shows driver did not override)
-- reduces speed for slower vehicle in its path
-- speeds up when path is clear
-- keeps Tesla centered in lane
If so, were you later able to get a clear understanding what the driver &/or Autopilot did in the critical seconds just before it?
We believe it’s currently too hard and sometimes impossible to know. That’s why to solve that problem we’re building MaxSavr® Driving Data Systems. We have a prototype working, and now need insights from potential customers.
So if you own a Tesla and this sounds interesting, please click here to see details and complete a short interest survey: MaxSavr® Driving Data Systems . It’s only 8 questions, nearly all only require a click or two to answer, and it shouldn’t take more than 10 minutes. After you finish and click Submit, you'll receive an e-mail with the questions and your answers.
Here's an example of MaxSavr's full capabilities.
Situation Replay details:
Tesla Model X with Autopilot 2.5 in control, approaching slower motorcycle at night
MaxSavr® Visualizer radar-view explained, including tailgating detection & Autopilot:
Tailgating detection lights at bottom left are based on distance and Tesla's speed
-- yellow is "close"; orange is "closer"; and red is "too close"
Parallel green lines are Tesla's current path straight ahead from 0 to 200 meters
Tesla is at position 0 and currently driving straight ahead
Forward-moving object detected straight ahead (motorcycle in video view)
-- is small blue circle when in Tesla's current path
-- becomes small blue square when it leaves Tesla's current path
Small grey squares are out-of-path stationary objects
Autopilot is active (when both Adaptive Cruise & Lane Keeping are "Yes")
-- driver expected to immediately take control in case of Autopilot error
-- limited to set speed (70 MPH here, and Accel Pedal % = 0 shows driver did not override)
-- reduces speed for slower vehicle in its path
-- speeds up when path is clear
-- keeps Tesla centered in lane