7 citations · 12 across the 5 of their papers we have counts for
7 papers
Transformer-based Monte Carlo Localization in Construction Meshes
Linus Kramer, William Talbot, Olga Vysotska +1
To be able to perform inspection or digitization tasks, mobile robots on construction sites must be able to localize themselves reliably with respect to a global reference frame th…
TRaIL-Odom: Tightly Coupled Continuous Time Radar-IMU-LiDAR Odometry with Adaptive Doppler Weighting
Chiyun Noh, Turcan Tuna, William Talbot +3
Existing radar-LiDAR fusion methods rely on fixed residual weights, even though the informativeness of radar Doppler and LiDAR geometry is scan- and direction-dependent, leading to…
One-Shot Badminton Shuttle Detection for Mobile Robots
Florentin Dipner, William Talbot, Turcan Tuna +2
This paper presents a robust one-shot badminton shuttlecock detection framework for non-stationary robots. To address the lack of egocentric shuttlecock detection datasets, we intr…
CaRLi-V: Camera-RADAR-LiDAR Point-Wise 3D Velocity Estimation
Landson Guo, Andres M. Diaz Aguilar, William Talbot +3
Accurate point-wise velocity estimation in 3D is crucial for robot interaction with non-rigid dynamic agents, enabling robust performance in path planning, collision avoidance, and…
RESPLE: Recursive Spline Estimation for LiDAR-Based Odometry
Ziyu Cao, William Talbot, Kailai Li
We present a novel recursive Bayesian estimation framework using B-splines for continuous-time 6-DoF dynamic motion estimation. The state vector consists of a recurrent set of posi…
Continuous-Time State Estimation Methods in Robotics: A Survey
William Talbot, Julian Nubert, Turcan Tuna +5
Accurate, efficient, and robust state estimation is more important than ever in robotics as the variety of platforms and complexity of tasks continue to grow. Historically, discret…
A Third-Order Gaussian Process Trajectory Representation Framework with Closed-Form Kinematics for Continuous-Time Motion Estimation
Thien-Minh Nguyen, Ziyu Cao, Kailai Li +5
In this paper, we propose a third-order, i.e., white-noise-on-jerk, Gaussian Process (GP) Trajectory Representation (TR) framework for continuous-time (CT) motion estimation (ME) t…