
Improved Loop Detection Method Based on ICP and NDT …
To solve this problem, this paper proposes a loop detection method based on NDT and ICP registration algorithms. The NDT algorithm is used for the initial registration, which can quickly …
CT-ICP: Real-time Elastic LiDAR Odometry with Loop Closure
Sep 27, 2021 · For this, we propose a new real-time LiDAR-only odometry method called CT-ICP (for Continuous-Time ICP), completed into a full SLAM with a novel loop detection procedure. …
Our approach (i) can effectively detect loop closures between two temporally separated local maps in a variety of environments, (ii) provides a 2D rigid body transform between the …
Improved Loop Detection Method Based on ICP and NDT
Jun 1, 2021 · We propose a new approach to appearance based loop detection from metric 3D maps, exploiting the NDT surface representation. Locations are described with feature …
Revisiting Gradient Boosting-Based Approaches for Learning
Apr 16, 2022 · This article fills the void in the existing body of knowledge by evaluating the performance of gradient boosting-based ensembles, including gradient boosting machine …
Boosting the detection of enhancer-promoter loops via novel ...
Accurately and sensitively detecting enhancer-promoter loops from genome-wide interaction matrices, such as Hi-C data, is critical for advancing our understanding of gene regulation.
Intermittent Oscillation Diagnosis in a Control Loop Using Extreme ...
Nov 30, 2022 · This study developed an online oscillation diagnosis program using the extreme gradient boosting (XGBoost) method. The data was obtained through the simulation of the …
Improved Loop Detection Method Based on ICP and NDT
To solve this problem, this paper proposes a loop detection method based on NDT and ICP registration algorithms. The NDT algorithm is used for the initial registration, which can quickly …
A Genetic-Based Extreme Gradient Boosting Model for Detecting ...
Oct 10, 2019 · In this paper, we proposed a new model to detect intrusion attacks based on a genetic algorithm and an extreme gradient boosting (XGBoot) classifier, called GXGBoost model.
A two-stage intrusion detection method based on light gradient boosting ...
Feb 9, 2023 · To address these problems, this paper proposes a novel detection framework based on light gradient boosting machine (LightGBM) and autoencoder. The recursive feature …