Honda Motor Co., Ltd.

Manh Trung Huynh

Chiho Choi

Hengbo Ma

Systems and methods for uncertainty estimation in vehicle trajectory prediction are provided. In one embodiment, a method includes calculating predicted error scores for each static data point of a set of static data points for a new traffic scenario. A static data point corresponds to a location of the new traffic scenario. The method includes ranking the static data points of the set of static data points based on the predicted error scores. The method further includes selecting a predetermined percentage of the ranked static data points having the highest predicted error scores of the ranked static data points. The method includes identifying locations of the new traffic scenario corresponding to the selected ranked static data points. The method includes collecting additional data points from the identified locations of the new traffic scenario. The method includes training a decoder for a neural network based on the additional data points.

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Santa Clara, CA, United States of America

Manh Trung Huynh