2 code implementations • 3 Mar 2024 • Daniel Duberg, Qingwen Zhang, Mingkai Jia, Patric Jensfelt
The dynamic nature of the real world is one of the main challenges in robotics.
2 code implementations • 29 Jan 2024 • Qingwen Zhang, Yi Yang, Heng Fang, Ruoyu Geng, Patric Jensfelt
Scene flow estimation determines a scene's 3D motion field, by predicting the motion of points in the scene, especially for aiding tasks in autonomous driving.
Ranked #1 on Scene Flow Estimation on Argoverse 2
1 code implementation • 14 Nov 2023 • Yi Yang, Qingwen Zhang, Ci Li, Daniel Simões Marta, Nazre Batool, John Folkesson
The evolution of autonomous driving has made remarkable advancements in recent years, evolving into a tangible reality.
1 code implementation • 16 Sep 2023 • Yi Yang, Qingwen Zhang, Thomas Gilles, Nazre Batool, John Folkesson
As the pretraining technique is growing in popularity, little work has been done on pretrained learning-based motion prediction methods in autonomous driving.
1 code implementation • 14 Jul 2023 • Qingwen Zhang, Daniel Duberg, Ruoyu Geng, Mingkai Jia, Lujia Wang, Patric Jensfelt
In the field of robotics, the point cloud has become an essential map representation.
1 code implementation • 1 Jul 2022 • Qingwen Zhang, Mingkai Tang, Ruoyu Geng, Feiyi Chen, Ren Xin, Lujia Wang
Inspired by the fact that humans use diverse sensory organs to perceive the world, sensors with different modalities are deployed in end-to-end driving to obtain the global context of the 3D scene.
Ranked #5 on CARLA MAP Leaderboard on CARLA