Tesla’s Full Self-Driving (FSD) technology is a key driver behind Piper Sandler’s $400 price target, with investor interest intensifying ahead of a potential robotaxi rollout in Austin. Analyst Alexander Potter emphasizes that Tesla’s FSD software is the most significant factor in their valuation model. Piper Sandler recently hosted Elias Martinez, creator of the FSD Community Tracker, to evaluate the current state of the technology.
According to Martinez, Tesla’s FSD Version 13 shows substantial improvement over previous iterations but still falls short of full autonomy. The leap from Version 12 to 13 reportedly doubled "miles to disengagement," a critical safety and performance metric. Over a three-year period, the system has improved 8x compared to Version 10, especially in navigating pedestrians and adverse weather conditions.
Despite notable gains, comparing Tesla’s FSD to competitors like Waymo remains difficult due to filtered data. Waymo averages over 45,000 miles per collision, while Tesla is estimated at 4,000–10,000 miles, though actual figures in Austin may be better. Martinez speculates Tesla is developing custom maps for Austin, which could enhance the software’s ability to handle local driving quirks like occluded stop signs and complex intersections.
While Tesla relies solely on camera-based systems, Martinez suggests incorporating audio sensors and advanced mapping could significantly improve performance—especially in identifying emergency vehicles. He also noted Tesla could adopt remote human assistance during edge cases, a tactic used by other autonomous vehicle companies.
As Tesla prepares for its robotaxi debut in Austin, the performance of its FSD software remains under the microscope. With significant progress made but full autonomy still elusive, how Tesla handles the final stretch could determine its competitive edge in the autonomous driving race.


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