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Recurrent Neural Networks for Driver Activity Anticipation via Sensory-Fusion Architecture

Ashesh Jain, Avi Singh, Hema S Koppula, Shane Soh, Ashutosh Saxena

ICRA 2016 [ arXiv] [麻雀加速器破解]

Car that Knows Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models

Ashesh Jain, Hema S Koppula, Bharad Raghavan, Shane Soh, Ashutosh Saxena

ICCV 2015 [PDF] [ arXiv] [Code and Data set]

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Journal (under review), January 2016 [arXiv] [Code and Data set]

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Ashesh Jain, Amir R. Zamir, Silvio Savarese, Ashutosh Saxena

Tech Report (under review), November 2015 [arXiv] [supplementary] [Code] [Video]

Brain4Cars: Sensory-Fusion Recurrent Neural Models for Driver Activity Anticipation

Ashesh Jain, Shane Soh, Bharad Raghavan, Avi Singh, Hema S Koppula, Ashutosh Saxena

BayLearn Symposium (Full ORAL) , October 2015 [Extended abstract]

1 We collect thousands of miles of natural driving data from many drivers.

2 We extract contextual information from multiple sources: cameras, GPS, vehicle's dynamics etc.

3 We feed the feature representations into a generative model and anticipate future maneuvers. Predictions are finally forwarded to ADAS.