activity
20222026
most citedNeurAR: Neural Uncertainty for Autonomous 3D Reconstruction with Implicit Neural Representations

80 citations · 81 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026

A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning

Tianle Liu, Youcheng Niu, Jing Zeng +2

This paper studies feedback Nash equilibrium (FBNE) seeking for multi-agent trajectory planning in nonlinear dynamical systems with unknown agents' objectives and state-dependent i…

cs.RO2024

Multi-robot autonomous 3D reconstruction using Gaussian splatting with Semantic guidance

Jing Zeng, Qi Ye, Tianle Liu +5

Implicit neural representations and 3D Gaussian splatting (3DGS) have shown great potential for scene reconstruction. Recent studies have expanded their applications in autonomous…

cs.RO2024

Autonomous Implicit Indoor Scene Reconstruction with Frontier Exploration

Jing Zeng, Yanxu Li, Jiahao Sun +3

Implicit neural representations have demonstrated significant promise for 3D scene reconstruction. Recent works have extended their applications to autonomous implicit reconstructi…

cs.RO2022★ 1 cited

Efficient View Path Planning for Autonomous Implicit Reconstruction

Jing Zeng, Yanxu Li, Yunlong Ran +6

Implicit neural representations have shown promising potential for the 3D scene reconstruction. Recent work applies it to autonomous 3D reconstruction by learning information gain…

cs.CV2022★ 80 cited

NeurAR: Neural Uncertainty for Autonomous 3D Reconstruction with Implicit Neural Representations

Yunlong Ran, Jing Zeng, Shibo He +5

Implicit neural representations have shown compelling results in offline 3D reconstruction and also recently demonstrated the potential for online SLAM systems. However, applying t…