Learning a Driving Simulator

4 code implementations • 3 Aug 2016 • Eder Santana, George Hotz

Comma. ai's approach to Artificial Intelligence for self-driving cars is based on an agent that learns to clone driver behaviors and plans maneuvers by simulating future events in the road.

Self-Driving Cars Video Prediction

A Commute in Data: The comma2k19 Dataset

1 code implementation • 14 Dec 2018 • Harald Schafer, Eder Santana, Andrew Haden, Riccardo Biasini

comma. ai presents comma2k19, a dataset of over 33 hours of commute in California's 280 highway.

Robotics 68T40

Exploring the Limitations of Behavior Cloning for Autonomous Driving

2 code implementations • ICCV 2019 • Felipe Codevilla, Eder Santana, Antonio M. López, Adrien Gaidon

Driving requires reacting to a wide variety of complex environment conditions and agent behaviors.

Autonomous Driving Imitation Learning

Exploiting Spatio-Temporal Structure with Recurrent Winner-Take-All Networks

no code implementations • 31 Oct 2016 • Eder Santana, Matthew Emigh, Pablo Zegers, Jose C. Principe

We propose a convolutional recurrent neural network, with Winner-Take-All dropout for high dimensional unsupervised feature learning in multi-dimensional time series.

Object Recognition Time Series +1

Information Theoretic-Learning Auto-Encoder

no code implementations • 22 Mar 2016 • Eder Santana, Matthew Emigh, Jose C. Principe

We propose Information Theoretic-Learning (ITL) divergence measures for variational regularization of neural networks.