Sparse LiDAR and Stereo Fusion (SLS-Fusion) for Depth Estimationand 3D Object Detection

no code implementations • 5 Mar 2021 • Nguyen Anh Minh Mai, Pierre Duthon, Louahdi Khoudour, Alain Crouzil, Sergio A. Velastin

This paper presents SLS-Fusion, a new approach to fuse data from 4-beam LiDAR and a stereo camera via a neural network for depth estimation to achieve better dense depth maps and thereby improves 3D object detection performance.

3D Object Detection Depth Estimation +3

What happens to a ToF LiDAR in fog?

no code implementations • 14 Mar 2020 • You Li, Pierre Duthon, Michèle Colomb, Javier Ibanez-Guzman

This article focuses on analyzing the performance of a typical time-of-flight (ToF) LiDAR under fog environment.

BIG-bench Machine Learning

Baselines and a datasheet for the Cerema AWP dataset

no code implementations • 11 Jun 2018 • Ismaïla Seck, Khouloud Dahmane, Pierre Duthon, Gaëlle Loosli

This paper presents the recently published Cerema AWP (Adverse Weather Pedestrian) dataset for various machine learning tasks and its exports in machine learning friendly format.

BIG-bench Machine Learning