youngguncho / awesome-slam-datasets Goto Github PK

hello，there comes a new SLAM dataset M2DGR, public on https://github.com/SJTU-ViSYS/M2DGR. It would be appreciated if you could update it to this webpage. Thanks in advance !

您好，我是泡泡机器人SLAM的成员，泡泡机器人是**最大的SLAM相关公益性学术组织，我们想申请转载您该repo下的文章到我们的微信公众号（泡泡机器人SLAM）推文，会注明来源和原文链接，希望您能同意。更多问题欢迎联系我，邮箱 [email protected]

Does the 'year' refer to the record time or the paper published time?

DS website: https://grade.is.tue.mpg.de/
paper: https://arxiv.org/abs/2303.04466

GT: IMU, RGBD cam, TF, joints ....

Expandable with the repetition tool.

Additional resources in the website.

Simulator framework based on IsaacSim

Thanks for this helpful list!

ADVIO is a VIO dataset appeared in ECCV 2018, it can be found here:
https://github.com/AaltoVision/ADVIO

Hi, I find a new dataset from ICRA 2019. But I don't know how to add to the google form.
So I open an issue.
The UZH-FPV Drone Racing Dataset
High-speed, Aggressive 6DoF Trajectories for State Estimation and Drone Racing
http://rpg.ifi.uzh.ch/uzh-fpv.html
UAV
with GT pose
mono+imu+event cam
paper name: Are We Ready for Autonomous Drone Racing? The UZH-FPV Drone Racing Dataset

Hey guys,

We sincerely appreciate the value of your repository! We would like to kindly request the inclusion of our customizable SLAM robustness benchmark, which incorporates a noisy data simulation pipeline for a comprehensive evaluation of SLAM performance. Our benchmark specifically focuses on evaluating the robustness of the latest monocular/multi-modal Neural-based SLAM models, including NeRF-based and Gaussian-Splatting-based SLAM. Additionally, it offers a preliminary assessment of multi-view and multi-agent/collaborative SLAM robustness.

We are confident that the addition of our benchmark will contribute to making SLAM more deployable and robust. We greatly appreciate your consideration. Thanks!

* **Customizable-SLAM**: Customizable Perturbation Synthesis for Robust SLAM Benchmarking, ArXiV, 2024. [[Paper](https://arxiv.org/abs/2402.08125)] [[Code](https://github.com/Xiaohao-Xu/SLAM-under-Perturbation)] 

https://ntu-aris.github.io/ntu_viral_dataset/

https://github.com/kafeiyin00/WHU-HelmetDataset

Hi, thank you for the helpful list of SLAM dataset.

We have released a dataset called FMDataset, which aims to verify the robustness of Dense-SLAM system at different velocities of sensor motion. It can be found here:
https://github.com/zhuzunjie17/FastFusion

hi,Thanks for your list! I have a question about the Encoder's data in KAIST dataset, how to use the Encoder's data?Because I dont know how to get the V/angle from the data's format. Do you have some advises or cases to handle it?

5. Encoder
   The 'sensor_data/encoder.csv ' file stores the incremental pulse count values of wheel encoder.
   [timestamp, left count, right count]

hi, as far as you know, is there any visual slam dataset with wheel odometry?

Hi, I noticed that the SFU Mountain Dataset is missing: http://autonomy.cs.sfu.ca/sfu-mountain-dataset/.

I think it could be added to the list.

Nice job. :-)

And, there may be typos in the google spreadsheets at D23.

dataset website: fusionportable
paper: IROS2021
sensor configuration：Ouster128 LIDAR + STIM300 IMU + stereo Event camera + stereo FLIR rgb camera + RTK
GT: RGB point cloud map (Leica BLK360) + 6-DOF trajectory (MOCAP/ICP)

Hi, I noticed that the FastCaMo Dataset is missing,
which contains both synthesis and real captured RGB-D sequences for fast camera motion.

https://www.rvp-group.net/slam-dataset.html
Accepted @ ICRA2024
Arxiv version: https://arxiv.org/abs/2404.11322

https://github.com/Factor-Robotics/Roller-Coaster-SLAM-Dataset

https://github.com/SJTU-ViSYS/M2DGR-plus
Accepted by ICRA2024
Arxiv version: https://arxiv.org/abs/2402.14308

I found your page and was curious but there are no hints.