Inclusion Request for SLAM Robustness Benchmark with Noisy Data Simulation Pipeline

[Xiaohao-Xu]

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)]