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Continuous-time radar-inertial and lidar-inertial odometry using a gaussian process motion prior
In this work, we demonstrate continuous-time radar-inertial and lidar-inertial odometry using
a Gaussian process motion prior. Using a sparse prior, we demonstrate improved …
a Gaussian process motion prior. Using a sparse prior, we demonstrate improved …
IMU as an Input vs. a Measurement of the State in Inertial-Aided State Estimation
Treating IMU measurements as inputs to a motion model and then preintegrating these
measurements has almost become a de-facto standard in many robotics applications …
measurements has almost become a de-facto standard in many robotics applications …
Incorporating control inputs in continuous-time Gaussian process state estimation for robotics
Continuous-time batch state estimation using Gaussian processes is an efficient approach to
estimate the trajectories of robots over time. In the past, relatively simple physics-motivated …
estimate the trajectories of robots over time. In the past, relatively simple physics-motivated …
Continuous Gaussian Process Pre-Optimization for Asynchronous Event-Inertial Odometry
Z Wang, X Li, Y Zhang, F Zhang, P Huang - arxiv preprint arxiv …, 2024 - arxiv.org
Event cameras, as bio-inspired sensors, are asynchronously triggered with high-temporal
resolution compared to intensity cameras. Recent work has focused on fusing the event …
resolution compared to intensity cameras. Recent work has focused on fusing the event …