Uber AI, Engineering
DeepSignals: Predicting Intent of Drivers Through Visual Attributes
May 1, 2019 / GlobalAbstract
Detecting the intention of drivers is an essential task in self-driving, necessary to anticipate sudden events like lane changes and stops. Turn signals and emergency flashers communicate such intentions, providing seconds of potentially critical reaction time. In this paper, we propose to detect these signals in video sequences by using a deep neural network that reasons about both spatial and temporal information. Our experiments on more than a million frames show high per-frame accuracy in very challenging scenarios.
Authors
Davi Frossard, Eric Kee, Raquel Urtasun
Conference
ICRA 2019
Full Paper
Uber ATG
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