[1 Jul 2020]: Our paper has been accepted at IROS 2020!
[20 Dec 2019]: The project is successfully concluded and all milestones are reached!
[06 May 2019]: Dr. Tao Yang joined us as postdoc!
[17 Apr 2019]: The project homepage is online!
[01 Apr 2019]: The project is kicked off!
DENOSAU is a joint research project between the Groupe Renault and the University of Technology of Belfort-Montbéliard (UTBM) in France, which assesses the impact of severe weather conditions on 3D lidar data and develop new solutions that can integrate with current hardware resources, extending the state-of-the-art to achieve efficient 3D lidar data denoising. Scientifically, DENOSAU aims to address one of the most pressing problems in autonomous driving, i.e. object detection and tracking, via the study of denoising method for point cloud generated by the 3D lidar under adverse weather conditions.
|You Li (PI)
|Zhi Yan (PI)
|Yassine Ruichek (Co-I)
UTBM-Renault joint research project, 2019 (9 months).