Yuzhang Xi — accepted AI-conference papers

2025

ALCDNet: Loop Closure Detection Based on Acoustic Echoes

Guangyao Liu, Weimeng Cui, Naizheng Jia, Yuzhang Xi, Shuyu Li, Zhi Wang

RA-L 2025

Loop closure detection is a critical component of simultaneous localization and mapping (SLAM) systems, essential for mitigating the drift that accumulates over time. Traditional approaches utilizing light detection and ranging (LiDAR) and cameras have been developed to address this challenge. Howev

Cited by 2 Source ↗Scholar ↗

2025

SAGENet: Binaural Echo-Based 3D Depth Estimation with Sparse Angular Queries and Refined Geometric Cues

Guangyao Liu, Weimeng Cui, Yuzhang Xi, Liu Yang, Peixuan Hu, He Kong +1

IROS 2025

In this paper, we propose SAGENet that utilizes only binaural echoes (i.e., for scenarios when vision perception seriously degrades) for scene depth estimation. Unlike previous methods that implicitly learn spatial features from echoes, which may cause shape and scale drift, SAGENet explicitly extra

Cited by 0 Source ↗code ↗Scholar ↗