- cross-posted to:
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- cross-posted to:
- [email protected]
After years of promising investors that millions of Tesla robotaxis would soon fill the streets, Elon Musk debuted his driverless car service in a limited public rollout in Austin, Texas. It did not go smoothly.
The 22 June launch initially appeared successful enough, with a flood of videos from pro-Tesla social media influencers praising the service and sharing footage of their rides. Musk celebrated it as a triumph, and the following day, Tesla’s stock rose nearly 10%.
What quickly became apparent, however, was that the same influencer videos Musk promoted also depicted the self-driving cars appearing to break traffic laws or struggle to properly function. By Tuesday, the National Highway Traffic Safety Administration (NHTSA) had opened an investigation into the service and requested information from Tesla on the incidents.
Let me tell you how thrilled we all are to have a new hazard added to Austin streets.
This has nothing to do with aesthetics and everything to do with reducing production costs. The sensors themselves add to costs, but then the data processing for all of this data adds to the computational needs of the system, sensor installs requiring calibration and flexibility for changes in sensors add costs. The list goes on.
Musk and Tesla are standing firm on their position that LiDAR is needless and that others will follow their lead here, but so far in practice the lack of LiDAR in Tesla vehicles has shown to be a serious disadvantage compared to other systems.