Kailai Li

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 38

Top Topics

Von Mises Fisher

Orientation Estimation

Top Venues

Publications

Jiawei Sun, Kailai Li, Ruoxin Chen, Jie Li, Chentao Wu, Yue Ding, Junchi Yan
InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes. ICLR (2024)
Ziyu Cao, Kailai Li
Gaussian Process on the Product of Directional Manifolds. ECC (2024)
Kailai Li
On Embedding B-Splines in Recursive State Estimation. CoRR (2023)
Kailai Li, Ziyu Cao, Uwe D. Hanebeck
Continuous-Time Ultra-Wideband-Inertial Fusion. CoRR (2023)
Kailai Li, Jiawei Sun, Ruoxin Chen, Wei Ding, Kexue Yu, Jie Li, Chentao Wu
Towards Practical Edge Inference Attacks Against Graph Neural Networks. ICASSP (2023)
Peng Liu, Kailai Li, Gustaf Hendeby, Fredrik Gustafsson
Weighted Total Least Squares for Quadratic Errors-in-Variables Regression. EUSIPCO (2023)
Kailai Li, Ziyu Cao, Uwe D. Hanebeck
Continuous-Time Ultra-Wideband-Inertial Fusion. IEEE Robotics Autom. Lett. 8 (7) (2023)
Ziyu Cao, Kailai Li
Gaussian Process on the Product of Directional Manifolds. CoRR (2023)
Daniel Frisch, Kailai Li, Uwe D. Hanebeck
Optimal Sensor Placement for Multilateration Using Alternating Greedy Removal and Placement. MFI (2022)
Florian Pfaff, Kailai Li, Uwe D. Hanebeck
The State Space Subdivision Filter for SE(3). FUSION (2022)
Kailai Li, Florian Pfaff, Uwe D. Hanebeck
Circular Discrete Reapproximation. FUSION (2022)
Kailai Li, Florian Pfaff, Uwe D. Hanebeck
Unscented Dual Quaternion Particle Filter for SE(3) Estimation. IEEE Control. Syst. Lett. 5 (2) (2021)
Kailai Li, Florian Pfaff, Uwe D. Hanebeck
Progressive von Mises-Fisher Filtering Using Isotropic Sample Sets for Nonlinear Hyperspherical Estimation. Sensors 21 (9) (2021)
Florian Pfaff, Kailai Li, Uwe D. Hanebeck
Deep Likelihood Learning for 2-D Orientation Estimation Using a Fourier Filter. FUSION (2021)
Kailai Li, Meng Li, Uwe D. Hanebeck
Towards High-Performance Solid-State-LiDAR-Inertial Odometry and Mapping. IEEE Robotics Autom. Lett. 6 (3) (2021)
Kailai Li, Florian Pfaff, Uwe D. Hanebeck
Hyperspherical Dirac Mixture Reapproximation. CoRR (2021)
Florian Pfaff, Kailai Li, Uwe D. Hanebeck
The State Space Subdivision Filter for Estimation on SE(2). Sensors 21 (18) (2021)
Florian Pfaff, Kailai Li, Uwe D. Hanebeck
Conditional Densities and Likelihoods for Hypertoroidal Densities Based on Trigonometric Polynomials. MFI (2021)
Hannes Möls, Kailai Li, Uwe D. Hanebeck
Highly Parallelizable Plane Extraction for Organized Point Clouds Using Spherical Convex Hulls. ICRA (2020)
Kailai Li, Florian Pfaff, Uwe D. Hanebeck
Grid-Based Quaternion Filter for SO(3) Estimation. ECC (2020)
Kailai Li, Florian Pfaff, Uwe D. Hanebeck
Dual Quaternion Sample Reduction for SE(2) Estimation. FUSION (2020)
Kailai Li, Meng Li, Uwe D. Hanebeck
Towards High-Performance Solid-State-LiDAR-Inertial Odometry and Mapping. CoRR (2020)
Florian Pfaff, Kailai Li, Uwe D. Hanebeck
A Hyperhemispherical Grid Filter for Orientation Estimation. FUSION (2020)
Kailai Li, Florian Pfaff, Uwe D. Hanebeck
Nonlinear von Mises-Fisher Filtering Based on Isotropic Deterministic Sampling. MFI (2020)
Florian Pfaff, Kailai Li, Uwe D. Hanebeck
Estimating Correlated Angles Using the Hypertoroidal Grid Filter. MFI (2020)
Yuyao Zhang, Siqi Ma, Juanru Li, Kailai Li, Surya Nepal, Dawu Gu
SMARTSHIELD: Automatic Smart Contract Protection Made Easy. SANER (2020)
Susanne Radtke, Kailai Li, Benjamin Noack, Uwe D. Hanebeck
Comparative Study of Track-to-Track Fusion Methods for Cooperative Tracking with Bearings-only Measurements. ICPS (2019)
Florian Pfaff, Kailai Li, Uwe D. Hanebeck
Association Likelihoods for Directional Estimation. ICPS (2019)
Simon Bultmann, Kailai Li, Uwe D. Hanebeck
Stereo Visual SLAM Based on Unscented Dual Quaternion Filtering. FUSION (2019)
Florian Pfaff, Kailai Li, Uwe D. Hanebeck
Fourier Filters, Grid Filters, and the Fourier-Interpreted Grid Filter. FUSION (2019)
Kailai Li, Florian Pfaff, Uwe D. Hanebeck
Geometry-Driven Stochastic Modeling of SE(3) States Based on Dual Quaternion Representation. ICPS (2019)
Ziqi Ye, Kailai Li, Michael Stapelbroek, Rene Savelsberg, Marco Günther, Stefan Pischinger
Variable Step-Size Discrete Dynamic Programming for Vehicle Speed Trajectory Optimization. IEEE Trans. Intell. Transp. Syst. 20 (2) (2019)
Kailai Li, Daniel Frisch, Benjamin Noack, Uwe D. Hanebeck
Geometry-driven Deterministic Sampling for Nonlinear Bingham Filtering. ECC (2019)
Kailai Li, Johannes Cox, Benjamin Noack, Uwe D. Hanebeck
Improved Pose Graph Optimization for Planar Motions Using Riemannian Geometry on the Manifold of Dual Quaternions. CoRR (2019)
Kailai Li, Florian Pfaff, Uwe D. Hanebeck
Hyperspherical Deterministic Sampling Based on Riemannian Geometry for Improved Nonlinear Bingham Filtering. FUSION (2019)
Kailai Li, Daniel Frisch, Susanne Radtke, Benjamin Noack, Uwe D. Hanebeck
Wavefront Orientation Estimation Based on Progressive Bingham Filtering. SDF (2018)
Kailai Li, Gerhard Kurz, Lukas Bernreiter, Uwe D. Hanebeck
Nonlinear Progressive Filtering for SE(2) Estimation. FUSION (2018)
Kailai Li, Gerhard Kurz, Lukas Bernreiter, Uwe D. Hanebeck
Simultaneous Localization and Mapping Using a Novel Dual Quaternion Particle Filter. FUSION (2018)