運動予測arXiv:2112.08355
Yandex Shiftsデータセットにおける車両運動予測の不確実性推定
Estimating Uncertainty For Vehicle Motion Prediction on Yandex Shifts Dataset
自動運転向け車両運動予測において、分布シフトに頑健で予測の不確実性を測定できるモデルを提案し、Shifts Challengeのベンチマークで2位を獲得した。
著者: Alexey Pustynnikov, Dmitry Eremeev
分類: cs.LG, cs.RO, stat.ML
原文アブストラクト
Motion prediction of surrounding agents is an important task in context of autonomous driving since it is closely related to driver's safety. Vehicle Motion Prediction (VMP) track of Shifts Challenge focuses on developing models which are robust to distributional shift and able to measure uncertainty of their predictions. In this work we present the approach that significantly improved provided benchmark and took 2nd place on the leaderboard.