75 citations · 83 across the 17 of their papers we have counts for
13 papers · 1 filter
IntentReact: Guiding Reactive Object-Centric Navigation via Topological Intent
Yanmei Jiao, Anpeng Lu, Wenhan Hu +4
Object-goal visual navigation requires robots to reason over semantic structure and act effectively under partial observability. Recent approaches based on object-level topological…
Multi-cam Multi-map Visual Inertial Localization: System, Validation and Dataset
Yufei Wei, Fuzhang Han, Yanmei Jiao +9
Robot control loops require causal pose estimates that depend only on past and present measurements. At each timestep, controllers compute commands using the current pose without w…
3D Model-free Visual Localization System from Essential Matrix under Local Planar Motion
Yanmei Jiao, Binxin Zhang, Peng Jiang +3
Visual localization plays a critical role in the functionality of low-cost autonomous mobile robots. Current state-of-the-art approaches for achieving accurate visual localization…
DAMS-LIO: A Degeneration-Aware and Modular Sensor-Fusion LiDAR-inertial Odometry
Fuzhang Han, Han Zheng, Wenjun Huang +3
With robots being deployed in increasingly complex environments like underground mines and planetary surfaces, the multi-sensor fusion method has gained more and more attention whi…
FEJ-VIRO: A Consistent First-Estimate Jacobian Visual-Inertial-Ranging Odometry
Shenhan Jia, Yanmei Jiao, Zhuqing Zhang +2
In recent years, Visual-Inertial Odometry (VIO) has achieved many significant progresses. However, VIO methods suffer from localization drift over long trajectories. In this paper,…
Map-based Visual-Inertial Localization: Consistency and Complexity
Zhuqing Zhang, Yanmei Jiao, Shoudong Huang +2
Drift-free localization is essential for autonomous vehicles. In this paper, we address the problem by proposing a filter-based framework, which integrates the visual-inertial odom…
Translation Invariant Global Estimation of Heading Angle Using Sinogram of LiDAR Point Cloud
Xiaqing Ding, Xuecheng Xu, Sha Lu +6
Global point cloud registration is an essential module for localization, of which the main difficulty exists in estimating the rotation globally without initial value. With the aid…
Toward Consistent Drift-free Visual Inertial Localization on Keyframe Based Map
Zhuqing Zhang, Yanmei Jiao, Shoudong Huang +2
Global localization is essential for robots to perform further tasks like navigation. In this paper, we propose a new framework to perform global localization based on a filter-bas…
Robust localization for planar moving robot in changing environment: A perspective on density of correspondence and depth
Yanmei Jiao, Lilu Liu, Bo Fu +4
Visual localization for planar moving robot is important to various indoor service robotic applications. To handle the textureless areas and frequent human activities in indoor env…
Deep Samplable Observation Model for Global Localization and Kidnapping
Runjian Chen, Huan Yin, Yanmei Jiao +3
Global localization and kidnapping are two challenging problems in robot localization. The popular method, Monte Carlo Localization (MCL) addresses the problem by iteratively updat…
Globally optimal consensus maximization for robust visual inertial localization in point and line map
Yanmei Jiao, Yue Wang, Bo Fu +4
Map based visual inertial localization is a crucial step to reduce the drift in state estimation of mobile robots. The underlying problem for localization is to estimate the pose f…
LiDAR-Camera Calibration under Arbitrary Configurations: Observability and Methods
Bo Fu, Yue Wang, Xiaqing Ding +3
LiDAR-camera calibration is a precondition for many heterogeneous systems that fuse data from LiDAR and camera. However, the constraint from common field of view and the requiremen…
2-Entity RANSAC for robust visual localization in changing environment
Yanmei Jiao, Yue Wang, Bo Fu +4
Visual localization has attracted considerable attention due to its low-cost and stable sensor, which is desired in many applications, such as autonomous driving, inspection robots…