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Car that Knows Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models. ICCV, 2015.
Anticipating human actions beforehand can provide alerts that could avoid incidents from happening. We reason with the contextual information from the surrounding context, which is obtained from multiple data sources.
We propose a learning model to capture the temporal aspects of the problem, along with the generative nature of the interactions from both the agent and its surroundings.