Yinlong Bai — accepted AI-conference papers

2025

MemGS: Memory-Efficient Gaussian Splatting for Real-Time SLAM

Yinlong Bai, Hongxin Zhang, Sheng Zhong, Junkai Niu, Hai Li, Yijia He +1

IROS 2025

Recent advancements in 3D Gaussian Splatting (3DGS) have made a significant impact on rendering and reconstruction techniques. Current research predominantly focuses on improving rendering performance and reconstruction quality using high-performance desktop GPUs, largely overlooking applications fo

Cited by 3 Source ↗Scholar ↗

2023

VDBblox: Accurate and Efficient Distance Fields for Path Planning and Mesh Reconstruction

Yinlong Bai, Zhiqiang Miao, Xiangke Wang, Yong Liu, Hesheng Wang, Yaonan Wang

IROS 2023poster

Highly accurate and efficient map in unknown and complex environments is essential for robotics navigation. Traditionally, mobile robot platforms are often computationally constrained when using multiple sensors to process large amounts of input data. In previous works, some of them have been deploy…

Cited by 3 Source ↗code ↗Scholar ↗