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SYSTEMS AND METHODS FOR AUTONOMOUS DRIVING USING NEURAL NETWORK-BASED DRIVER LEARNING ON TOKENIZED SENSOR INPUTS
SYSTEMS AND METHODS FOR AUTONOMOUS DRIVING USING NEURAL NETWORK-BASED DRIVER LEARNING ON TOKENIZED SENSOR INPUTS
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机译:在标记传感器输入上使用基于神经网络的驾驶员学习进行自动驾驶的系统和方法
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摘要
In various embodiments, methods, systems, and autonomous vehicles are provided. In one exemplary embodiment, a method is provided that includes obtaining first sensor inputs pertaining to one or more actors in proximity to an autonomous vehicle; obtaining second sensor inputs pertaining to operation of the autonomous vehicle; obtaining, via a processor, first neural network outputs via a first neural network, using the first sensor inputs; and obtaining, via the processor, second neural network outputs via a second neural network, using the first network outputs and the second sensor inputs, the second neural network outputs providing one or more recommended actions for controlling the autonomous vehicle.
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