Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)
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Updated
Feb 13, 2020 - C
Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)
(ICRA 2019) Visual-Odometric On-SE(2) Localization and Mapping
Code for ICRA 2019 work "MID-Fusion Octree-based Object-Level Multi-Instance Dynamic SLAM"
The dataset of our RA-L work 'Learning Affordance Segmentation for Real-world Robotic Manipulation via Synthetic Images'
This repo contains tools to save images of simulated objects in Gazebo for affordance segmentation
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