Highlights
- Pro
Stars
Reflection Removal through Efficient Adaptation of Diffusion Transformers
Collaborative Dynamic 3D Scene Graphs for Open-Vocabulary Urban Scene Understanding
LiDAR Registration with Visual Foundation Models
Label-Efficient LiDAR Panoptic Segmentation
An algorithm for projecting three-dimensional laser point cloud data into serialized two-dimensional images.
A tool to play back parts of the Oxford Radar Robotcar Dataset as ROS messages in real time.
[RAL'25] A Good Foundation is Worth Many Labels: Label-Efficient Panoptic Segmentation
[RAL'24] Automatic Target-Less Camera-LiDAR Calibration from Motion and Deep Point Correspondences
[IROS2024] Camera-Radar Fusion for BEV Map and Object Segmentation
[ICRA2024] Few-Shot Panoptic Segmentation With Foundation Models
[ICRA2024] Collaborative Dynamic 3D Scene Graphs for Automated Driving
Continual Learning for Depth Estimation and Panoptic Segmentation
ROS (Robot Operating System) nodes for traffic sign detection with YOLOv7 and ArUco marker detection and mapping
[RAL'23] LiDAR-Based Deep Loop Closure Detection and Registration using Panoptic Attention
Continual SLAM: Beyond Lifelong Simultaneous Localization and Mapping through Continual Learning. http://continual-slam.cs.uni-freiburg.de
A modular, open and non-proprietary toolkit for core robotic functionalities by harnessing deep learning