TSLL

TSLA

<p>Tesla's FSD V12, based on an "end-to-end" model, has undergone a comprehensive update, expected to adapt to China's road conditions in six months to a year. Despite Musk's confidence in Tesla's leading position in the field of autonomous driving, the launch of FSD has experienced multiple delays. The latest version has received positive reviews from the industry, with executives from NVIDIA and DELL praising FSD V12 as revolutionary, performing like a human driver, with significant technological advancements</p>

- Elon Musk confidently claimed Tesla's lead in autonomous driving during the Q4 2022 earnings call, despite delays. The introduction of FSD V12 in early 2024, renamed FSD Supervised, received positive industry feedback, with Huang Renxun praising Tesla's revolutionary approach. The shift to "end-to-end" models marked a significant advancement, with industry leaders acknowledging Tesla's progress, including the transformation from modular to end-to-end design in autonomous driving technology.
- Tesla's FSD V12 showcased significant advancements, surpassing years of progress in just a few months, attributed to the "end-to-end" approach. The positive industry response, including Nvidia's CEO praising Tesla's lead, highlights the impact of this shift. The integration of BEV+Transformer and Occupancy Network enhanced perception, enabling Tesla to overcome dependencies on high-definition maps and improve obstacle recognition.
- Tesla's transition to end-to-end models, particularly with FSD V12, signifies a pivotal moment in autonomous driving. The evolution from modular to end-to-end design, driven by advanced algorithms like HydraNet and Occupancy Network, showcases Tesla's technological prowess. The industry's convergence towards end-to-end solutions underscores Tesla's leadership and technological advancements in autonomous driving.

A comprehensive analysis of 10,000 words: Will "end-to-end" bring a qualitative change to Tesla's FSD V12?