23 citations · 34 across the 2 of their papers we have counts for
3 papers · 1 filter
Imitation Learning for End to End Vehicle Longitudinal Control with Forward Camera
Laurent George, Thibault Buhet, Emilie Wirbel +2
In this paper we present a complete study of an end-to-end imitation learning system for speed control of a real car, based on a neural network with a Long Short Term Memory (LSTM)…
Sparse and Dense Data with CNNs: Depth Completion and Semantic Segmentation
Maximilian Jaritz, Raoul de Charette, Emilie Wirbel +2
Convolutional neural networks are designed for dense data, but vision data is often sparse (stereo depth, point clouds, pen stroke, etc.). We present a method to handle sparse dept…
End to End Vehicle Lateral Control Using a Single Fisheye Camera
Marin Toromanoff, Emilie Wirbel, Frédéric Wilhelm +3
Convolutional neural networks are commonly used to control the steering angle for autonomous cars. Most of the time, multiple long range cameras are used to generate lateral failur…