Lyft, Inc.
SYSTEMS AND METHODS FOR APPROPRIATE SPEED INFERENCE

Abstract:

In one embodiment, a method includes, by a computing system associated with a vehicle, receiving sensor data of an environment of the vehicle, the sensor data being captured by one or more sensors associated with the vehicle, generating, based on the sensor data, one or more representations of the environment of the vehicle, determining a target speed for the vehicle by processing the one or more representations of the environment of the vehicle using a machine-learning model that has been trained using human-driven vehicle speed observations and corresponding representations of environments associated with the observations, determining a trajectory plan and a planned speed for the vehicle based on at least the target speed, and causing the vehicle to perform one or more operations based on the trajectory plan and the planned speed.