Tesla files patent for sourcing self-driving training data from its vehicles
Tesla has has recently field a patent for a way to source training data from its customer vehicles in order to train its self-driving neural network.
The patent was filed for Tesla, but Andrej Karpathy, Tesla’s head of AI and Autopilot software, is named as the sole inventor on the application.
In the application the method is described as “An example method includes receiving sensor and applying a neural network to the sensor data. A trigger classifier is applied to an intermediate result of the neural network to determine a classifier score for the sensor data. Based at least in part on the classifier score, a determination is made whether to transmit via a computer network at least a portion of the sensor data. Upon a positive determination, the sensor data is transmitted and used to generate training data.”
Here's the link to the application and some photo
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![Tesla patent for sourcing self-driving training data]()
![Tesla patent for sourcing self-driving training data]()
![Tesla patent for sourcing self-driving training data]()
![Tesla patent for sourcing self-driving training data]()
![Tesla patent for sourcing self-driving training data]()
The patent was filed for Tesla, but Andrej Karpathy, Tesla’s head of AI and Autopilot software, is named as the sole inventor on the application.
In the application the method is described as “An example method includes receiving sensor and applying a neural network to the sensor data. A trigger classifier is applied to an intermediate result of the neural network to determine a classifier score for the sensor data. Based at least in part on the classifier score, a determination is made whether to transmit via a computer network at least a portion of the sensor data. Upon a positive determination, the sensor data is transmitted and used to generate training data.”
Here's the link to the application and some photo
