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Found 7 papers, 7 papers with code
DUFOMap: Efficient Dynamic Awareness Mapping
The dynamic nature of the real world is one of the main challenges in robotics.
DeFlow: Decoder of Scene Flow Network in Autonomous Driving
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
Human-Centric Autonomous Systems With LLMs for User Command Reasoning
The evolution of autonomous driving has made remarkable advancements in recent years, evolving into a tangible reality.
RMP: A Random Mask Pretrain Framework for Motion Prediction
As the pretraining technique is growing in popularity, little work has been done on pretrained learning-based motion prediction methods in autonomous driving.
A Dynamic Points Removal Benchmark in Point Cloud Maps
In the field of robotics, the point cloud has become an essential map representation.
MMFN: Multi-Modal-Fusion-Net for End-to-End Driving
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
