The NTSB report confirms that. The crash attenuator—an accordion-like barrier that's supposed to cushion a vehicle when it crashes into the lane separator—had been damaged the previous week when a Toyota Prius crashed at the same location. The resulting damage made the attenuator ineffective and likely contributed to Huang's death. kinda sounds like maybe that part of the road isn't well designed or marked too.
Looking at the video of the guy that tried that same route again, it looks like the sun was straight ahead (see starting 37th second of video [1]), and I am wondering if the camera had an issue identifying the sign due to the glare from the sun.
Do we know if this problem has been fixed now? Can the chevron be identified at the same location by other Tesla drivers today, months after the guy that tested it and posted the video of his car swerving at the same place [1]?
Following lane markings are never going to be a 100% reliable method for navigating roads. Even humans miss merging lanes, or have issues at complex surface street intersections where there are multiple overlapping lanes. But humans take evasive action.. they slow down, re-access, look at signs and probably get honked at.
Following other cars is never going to be a reliable method for navigating roads. I don't know what the guy in front of me is going to do! I keep my safe distance and take evasive action if the guy in front of me does something stupid.
I feel signs are most reliable in that sense. If there is a missing sign, a human is more likely bound to make a mistake as well. Maybe I am biased, because as someone who sails, signs (buoys, lights, colors, etc.) are what guide me in my navigation as there are no lane line markings on the water (not a perfect analogy because the speeds/traffic patterns are very different, but the point I am trying to make is about humans identifying the signs with muscle memory). A vision based neural network should be able to do the same.
[0] https://english.stackexchange.com/questions/249780/what-do-y... [1] https://youtu.be/VVJSjeHDvfY?t=37