Nonlinear Progressive Filtering for SE(2) Estimation. - Kailai Li 001; Gerhard Kurz; Lukas Bernreiter; Uwe D. Hanebeck (FUSION, 2018)

Simultaneous Localization and Mapping Using a Novel Dual Quaternion Particle Filter. - Kailai Li 001; Gerhard Kurz; Lukas Bernreiter; Uwe D. Hanebeck (FUSION, 2018)

Wavefront Orientation Estimation Based on Progressive Bingham Filtering. - Kailai Li 001; Daniel Frisch; Susanne Radtke; Benjamin Noack; Uwe D. Hanebeck (SDF, 2018)

Geometry-driven Deterministic Sampling for Nonlinear Bingham Filtering. - Kailai Li 001; Daniel Frisch; Benjamin Noack; Uwe D. Hanebeck (ECC, 2019)

Stereo Visual SLAM Based on Unscented Dual Quaternion Filtering. - Simon Bultmann; Kailai Li 001; Uwe D. Hanebeck (FUSION, 2019)

Hyperspherical Deterministic Sampling Based on Riemannian Geometry for Improved Nonlinear Bingham Filtering. - Kailai Li 001; Florian Pfaff; Uwe D. Hanebeck (FUSION, 2019)

Fourier Filters, Grid Filters, and the Fourier-Interpreted Grid Filter. - Florian Pfaff; Kailai Li 001; Uwe D. Hanebeck (FUSION, 2019)

Geometry-Driven Stochastic Modeling of SE(3) States Based on Dual Quaternion Representation. - Kailai Li 001; Florian Pfaff; Uwe D. Hanebeck (ICPS, 2019)

Association Likelihoods for Directional Estimation. - Florian Pfaff; Kailai Li 001; Uwe D. Hanebeck (ICPS, 2019)

Comparative Study of Track-to-Track Fusion Methods for Cooperative Tracking with Bearings-only Measurements. - Susanne Radtke; Kailai Li 001; Benjamin Noack; Uwe D. Hanebeck (ICPS, 2019)

Improved Pose Graph Optimization for Planar Motions Using Riemannian Geometry on the Manifold of Dual Quaternions. - Kailai Li 001; Johannes Cox; Benjamin Noack; Uwe D. Hanebeck (CoRR, 2019)

Variable Step-Size Discrete Dynamic Programming for Vehicle Speed Trajectory Optimization. - Ziqi Ye; Kailai Li 001; Michael Stapelbroek; Rene Savelsberg; Marco Günther; Stefan Pischinger (IEEE Trans. Intell. Transp. Syst., 2019)

Grid-Based Quaternion Filter for SO(3) Estimation. - Kailai Li 001; Florian Pfaff; Uwe D. Hanebeck (ECC, 2020)

Dual Quaternion Sample Reduction for SE(2) Estimation. - Kailai Li 001; Florian Pfaff; Uwe D. Hanebeck (FUSION, 2020)

A Hyperhemispherical Grid Filter for Orientation Estimation. - Florian Pfaff; Kailai Li 001; Uwe D. Hanebeck (FUSION, 2020)

Highly Parallelizable Plane Extraction for Organized Point Clouds Using Spherical Convex Hulls. - Hannes Möls; Kailai Li 001; Uwe D. Hanebeck (ICRA, 2020)

Nonlinear von Mises-Fisher Filtering Based on Isotropic Deterministic Sampling. - Kailai Li 001; Florian Pfaff; Uwe D. Hanebeck (MFI, 2020)

Estimating Correlated Angles Using the Hypertoroidal Grid Filter. - Florian Pfaff; Kailai Li 001; Uwe D. Hanebeck (MFI, 2020)

Deep Likelihood Learning for 2-D Orientation Estimation Using a Fourier Filter. - Florian Pfaff; Kailai Li 001; Uwe D. Hanebeck (FUSION, 2021)

Conditional Densities and Likelihoods for Hypertoroidal Densities Based on Trigonometric Polynomials. - Florian Pfaff; Kailai Li 001; Uwe D. Hanebeck (MFI, 2021)

Hyperspherical Dirac Mixture Reapproximation. - Kailai Li 001; Florian Pfaff; Uwe D. Hanebeck (CoRR, 2021)

Unscented Dual Quaternion Particle Filter for SE(3) Estimation. - Kailai Li 001; Florian Pfaff; Uwe D. Hanebeck (IEEE Control. Syst. Lett., 2021)

Towards High-Performance Solid-State-LiDAR-Inertial Odometry and Mapping. - Kailai Li 001; Meng Li; Uwe D. Hanebeck (IEEE Robotics Autom. Lett., 2021)

Progressive von Mises-Fisher Filtering Using Isotropic Sample Sets for Nonlinear Hyperspherical Estimation. - Kailai Li 001; Florian Pfaff; Uwe D. Hanebeck (Sensors, 2021)

The State Space Subdivision Filter for Estimation on SE(2). - Florian Pfaff; Kailai Li 001; Uwe D. Hanebeck (Sensors, 2021)

Circular Discrete Reapproximation. - Kailai Li 001; Florian Pfaff; Uwe D. Hanebeck (FUSION, 2022)

The State Space Subdivision Filter for SE(3). - Florian Pfaff; Kailai Li 001; Uwe D. Hanebeck (FUSION, 2022)

Optimal Sensor Placement for Multilateration Using Alternating Greedy Removal and Placement. - Daniel Frisch; Kailai Li 001; Uwe D. Hanebeck (MFI, 2022)

On-Manifold Recursive Bayesian Estimation for Directional Domains - Kailai Li 001 (2022)

Weighted Total Least Squares for Quadratic Errors-in-Variables Regression. - Peng Liu; Kailai Li 001; Gustaf Hendeby; Fredrik Gustafsson (EUSIPCO, 2023)

On Embedding B-Splines in Recursive State Estimation. - Kailai Li 001 (CoRR, 2023)

Continuous-Time Ultra-Wideband-Inertial Fusion. - Kailai Li 001; Ziyu Cao; Uwe D. Hanebeck (IEEE Robotics Autom. Lett., 2023)

Gaussian Process on the Product of Directional Manifolds. - Ziyu Cao; Kailai Li 001 (ECC, 2024)

GPTR: Gaussian Process Trajectory Representation for Continuous-Time Motion Estimation. - Thien-Minh Nguyen; Ziyu Cao; Kailai Li 001; Shenghai Yuan; Lihua Xie 001 (CoRR, 2024)

Solving Zero-Shot 3D Visual Grounding as Constraint Satisfaction Problems. - Qihao Yuan; Jiaming Zhang 001; Kailai Li 001; Rainer Stiefelhagen (CoRR, 2024)

IRIS: An Immersive Robot Interaction System. - Xinkai Jiang; Qihao Yuan; Enes Ulas Dincer; Hongyi Zhou; Ge Li; Xueyin Li; Julius Haag; Nicolas Schreiber; Kailai Li 001; Gerhard Neumann; Rudolf Lioutikov (CoRR, 2025)

RESPLE: Recursive Spline Estimation for LiDAR-Based Odometry. - Ziyu Cao; William Talbot; Kailai Li 001 (CoRR, 2025)