List of Projects
vox_nav; A navigation framework for outdoor robotics in rough 3D uneven terrains. vox nav enables dozens of state-
of-the-art motion planning algorithms from OMPL to create efficient plans for Mobile Robots operating in challenging 3D uneven terrains. See related publications below.
ROS_Raw_Kitti_Player; A ROS Package to manipulate and process the KITTI dataset. ROS Raw Kitti Player enables the following; • Perception extracted from self-driving car sensors including Lidar, Radar, and camera • Sensor fusion between Lidar and Camera • Local cost map extracted from Lidar, to be used for collision avoidance.
I have several other projects on my GitHub that might be of your interest, check my GitHub and leave a star if you like them!
List of Publications
Lee, Sheng-Wei et al. (2019). “Fast Point Cloud Feature Extraction for Real-time SLAM”. In: 2019 International Automatic Control Conference (CACS), pp. 1–6. doi: 10.1109/CACS47674.2019.9024355.
Atas, Fetullah et al. (2022). “Elevation State-Space: Surfel-Based Navigation in Uneven Environments for Mobile Robots”. In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). doi: 10.48550/arXiv.2208.08202.
Atas, Fetullah et al. (2022). “Evaluation of Sampling-Based Optimizing Planners for Outdoor Robot Navigation”. In: To appear in 17th International Conference on Intelligent Autonomous Systems (IAS17). doi: 10.48550/ARXIV.2103.13666. url: https://arxiv.org/abs/2103.13666.
Atas, Fetullah et al. (2023). “Cloud Hopping; Navigating in 3D Uneven Environments via Supervoxels and Control Lyapunov Function”. In: Undeer Review. doi: 10.48550/arXiv.2208.4530249.
I am actively working on 3D Uneven terrain navigation, new papers will be coming!