Is Tesla using the right mathematics for lane follow, lane change, and exit?
- using certainty polynomial regression when parts of a lane indicator disappears when, for example,
... going past an exit
... going past a highway intersection
... going past other natural breaks on the right side
- using risk (threat divided by avoidance) to determine where within the lane to position the car? For example in N America:
... to the right side when on a two lane highway when a oncoming car is approaching and no risks on the right side
... to the left side when no car is approaching and in deer, elk, or moose country
... somewhere between when different threats of different risks are detected on both sides of the car
... all stuff we learned in driving ed class
- using adaptive speed for curves and corners known by vision and/or GPS
- using adaptive speed for a potential rear-end collision (someone behind you about to collide)
With all of the bright drivers out there, many of who are scientists and engineers, you would think that Tesla would tap into them with special agreements and training to help the firmware and software mature faster.
- let the users suggest better mathematics (many of us can guess, via behavior, what math the car is using and offer better approaches)
- letting qualified/trained users test closed-beta software
- the more driving experiences that can be sent back to Tesla from trained users, the better for safe driving for all.
What Tesla is doing will end up saving thousands of lives. If that process can be safely accelerated, isn't it worth a try?