Ronghe Jin — accepted AI-conference papers

2026

A Minimal Solver for Relative Pose Estimation With Unknown Focal Length From Two Affine Correspondences

Zhenbao Yu, Shirong Ye, Ronghe Jin, Shunkun Liang, Zibin Liu, Huiyun Zhang +1

RA-L 2026

In this paper, we aim to estimate the relative pose and focal length between two views with known intrinsic parameters except for an unknown focal length from two affine correspondences (ACs). Cameras are commonly used in combination with inertial measurement units (IMUs) in applications such as sel

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2026

FAR-RIO: A Fast and Robust Radar-Inertial Odometry With Isotropic Uncertainty Model and Dual-Observation Update Pipeline

Hang Zhen, Zhi Gao, Ronghe Jin, Xinyu Guo, Feng Lin

RA-L 2026

Due to the ability to provide point clouds and Doppler velocity, as well as the adaptability in harsh weather conditions, 4D Radar has emerged as a new option for Simultaneous Localization and Mapping (SLAM). However, there is limited research on both robustness and computational efficiency, which a

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