FIELD: unmanned vehicles.
SUBSTANCE: invention relates to computer-implemented methods and systems for controlling an unmanned vehicle, in particular to methods and systems for predicting the trajectory of an agent, such as a pedestrian or a human-controlled vehicle, in the vicinity of an unmanned vehicle. The method includes predicting the trajectory of the agent near the unmanned vehicle. This is done by: receiving sensor data indicative of the current situation in the vicinity of the unmanned vehicle; generating a feature vector of the current situation based at least in part on the sensor data; searching the pre-built library feature vector bank to identify the resulting feature vector from the pre-built bank that is most relevant to the current situation feature vector, where each library feature vector in the pre-built bank is associated with an observed trajectory; and predicting the agent's trajectory based on the resulting feature vector. The method also includes planning a vehicle action based on the agent's predicted trajectory and controlling the vehicle in accordance with the planned action.
EFFECT: increases road safety during operation.
20 cl, 6 dwg
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Authors
Dates
2023-07-26—Published
2021-05-28—Filed