most citedCustomizable Perturbation Synthesis for Robust SLAM Benchmarking

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2025

RGBSQGrasp: Inferring Local Superquadric Primitives from Single RGB Image for Graspability-Aware Bin Picking

Yifeng Xu, Fan Zhu, Ye Li +3

Bin picking is a challenging robotic task due to occlusions and physical constraints that limit visual information for object recognition and grasping. Existing approaches often re…

cs.CV2025

Scalable Benchmarking and Robust Learning for Noise-Free Ego-Motion and 3D Reconstruction from Noisy Video

Xiaohao Xu, Tianyi Zhang, Shibo Zhao +8

We aim to redefine robust ego-motion estimation and photorealistic 3D reconstruction by addressing a critical limitation: the reliance on noise-free data in existing models. While…

cs.CV2024

UniDrive: Towards Universal Driving Perception Across Camera Configurations

Ye Li, Wenzhao Zheng, Xiaonan Huang +1

Vision-centric autonomous driving has demonstrated excellent performance with economical sensors. As the fundamental step, 3D perception aims to infer 3D information from 2D images…

cs.CV2024

From Perfect to Noisy World Simulation: Customizable Embodied Multi-modal Perturbations for SLAM Robustness Benchmarking

Xiaohao Xu, Tianyi Zhang, Sibo Wang +6

Embodied agents require robust navigation systems to operate in unstructured environments, making the robustness of Simultaneous Localization and Mapping (SLAM) models critical to…

cs.RO2024★ 1 cited

Customizable Perturbation Synthesis for Robust SLAM Benchmarking

Xiaohao Xu, Tianyi Zhang, Sibo Wang +6

Robustness is a crucial factor for the successful deployment of robots in unstructured environments, particularly in the domain of Simultaneous Localization and Mapping (SLAM). Sim…