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Tesla, Waymo, NVIDIA, Wayve | Overcoming Top Challenges in Autonomous Vehicles | TransformX 2022
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- Опубликовано: 23 окт 2022
- Experts working on autonomous vehicles will discuss the rapid pace of research and innovation in machine learning, highlighting the most exciting developments over the last few years and how they approach incorporating the constant advances into an autonomous vehicle safely. The panelists are industry leaders working at NVIDIA, Tesla, Waymo, and Wayve. They will also discuss the unique approaches each OEM takes to leverage machine learning in their self-driving stack, with some using end-to-end learning and others preferring modular learning, and each method's advantages and disadvantages. They will also discuss best practices for integrating complicated sensor suites, software, data management, and machine learning with engineering. Other challenges they will cover include collecting large amounts of data, managing, and labeling datasets, integrating ML models with the rest of the self-driving stack, and how to improve the driver continuously. They will also discuss the critical role of simulation in development, and the current state of self-driving cars and the most difficult challenges they face today, including scaling to new environments quickly.
👉 Check out more here: scl.ai/3z1gC1R
Tesla investors are Giga-screwed.
Wayve has already solved end-to-end AI FSD. That will end Tesla's FSD, Robotaxi, and Optimus businesses
Oh! There you are again, sounding like a shunned lover.
@@jrsands
There ya are, still broke 😃
🤡♿️
How so? I would imagine Tesla has the data pipeline, and control over the compute in the car + is now doing end to end with v12. What do you think they are lacking which Wayve has?
Still curious to know
Elon’s body guard has two jobs.
Kate Park ? Why a body guard ? Please share the story or help me get the joke ;p
@@onceagainquestionyourself4523 Once gain, question yourself.
If you ask all the Tesla fans on RUclips, they’ll say “there are no issues with Tesla FSD, it just needs more training” 🤣 If only it was that easy. 🤦🏽♂️