Data Closed Loop
A cyclic mechanism in which vehicles collect real-world scenario data and send it back to the cloud for model training, after which improved models are pushed back to the vehicle via OTA. Its difficulties lie in bandwidth cost, privacy compliance and filtering of long-tail scenarios.
Timeline (last 90 days)
There are not many manufacturers that truly keep pushing AI capabilities to users' vehicles continuously, and behind this is a comprehensive engineering problem of OTA architecture, data closed loops, and compute redundancy.
A data closed loop refers to the cycle in which vehicles collect real-world scenario data while driving, send it back to the cloud for model training, and then push the improved models back to the vehicle via OTA.
The data closed loop for robotics faces higher barriers than autonomous driving: the initial deployment volume of robots is limited and scenarios are fragmented, whereas autonomous driving can naturally generate massive driving mileage through the scale of mass-produced vehicles.
好的反馈信号应具备三个特征：可自动采集、有明确阈值、时效性强
All Facts (4)
There are not many manufacturers that truly keep pushing AI capabilities to users' vehicles continuously, and behind this is a comprehensive engineering problem of OTA architecture, data closed loops, and compute redundancy.
50%UnverifiedA data closed loop refers to the cycle in which vehicles collect real-world scenario data while driving, send it back to the cloud for model training, and then push the improved models back to the vehicle via OTA.
50%UnverifiedThe data closed loop for robotics faces higher barriers than autonomous driving: the initial deployment volume of robots is limited and scenarios are fragmented, whereas autonomous driving can naturally generate massive driving mileage through the scale of mass-produced vehicles.
50%Unverified好的反馈信号应具备三个特征：可自动采集、有明确阈值、时效性强
50%