no code implementations • 9 Mar 2020 • Thibault Buhet, Emilie Wirbel, Andrei Bursuc, Xavier Perrotton
Our model processes ego vehicle front-facing camera images and bird-eye view grid, computed from Lidar point clouds, with detections of past and present objects, in order to generate multiple trajectories for both ego vehicle and its neighbors.
no code implementations • 2 Sep 2019 • Thibault Buhet, Emilie Wirbel, Xavier Perrotton
Mid-to-mid (environment abstraction to mid-level trajectory representation) or direct perception (raw signal to performance) approaches strive to handle more complex, real life environment and tasks (e. g. complex intersection).
no code implementations • 14 Dec 2018 • Laurent George, Thibault Buhet, Emilie Wirbel, Gaetan Le-Gall, Xavier Perrotton
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).