An obstacle-finding approach for autonomous mobile robots using 2D LiDAR data
Obstacle detection is crucial for the navigation of autonomous mobile robots: it is necessary
to ensure their presence as accurately as possible and find their position relative to the …
to ensure their presence as accurately as possible and find their position relative to the …
Implementation and analysis of a parallel kalman filter algorithm for lidar localization based on CUDA technology
L Mochurad - Frontiers in Robotics and AI, 2024 - frontiersin.org
Introduction: Navigation satellite systems can fail to work or work incorrectly in a number of
conditions: signal shadowing, electromagnetic interference, atmospheric conditions, and …
conditions: signal shadowing, electromagnetic interference, atmospheric conditions, and …
Improvement Technologies for Data Imputation in Bioinformatics
L Mochurad, P Horun - Technologies, 2023 - mdpi.com
Using existing software technologies for imputing missing genetic data (GD), such as
Beagle, HPImpute, Impute, MACH, AlphaPlantImpute, MissForest, and LinkImputeR, has its …
Beagle, HPImpute, Impute, MACH, AlphaPlantImpute, MissForest, and LinkImputeR, has its …
A Parallel Algorithm for the Detection of Eye Disease
L Mochurad, R Panto - The International Symposium on Computer Science …, 2022 - Springer
Over the past few years, the growth of eye diseases among people has become exponential.
Eye problems affect not only the elderly but also the younger generation. But detecting these …
Eye problems affect not only the elderly but also the younger generation. But detecting these …
An Approach for Opening Doors with a Mobile Robot Using Machine Learning Methods
One of the tasks of robotics is to develop a robot's ability to perform specific actions for as
long as possible without human assistance. One such step is to open different types of …
long as possible without human assistance. One such step is to open different types of …
Leveraging LiDAR-based simulations to quantify the complexity of the static environment for autonomous vehicles in rural settings
This paper uses virtual simulations to examine the interaction between autonomous vehicles
(AVs) and their surrounding environment. A framework was developed to estimate the …
(AVs) and their surrounding environment. A framework was developed to estimate the …
Two-Step Self-Calibration of LiDAR-GPS/IMU Based on Hand-Eye Method
X Nie, J Gong, J Cheng, X Tang, Y Zhang - Symmetry, 2023 - mdpi.com
Multi-line LiDAR and GPS/IMU are widely used in autonomous driving and robotics, such as
simultaneous localization and map** (SLAM). Calibrating the extrinsic parameters of each …
simultaneous localization and map** (SLAM). Calibrating the extrinsic parameters of each …
[PDF][PDF] CUDA-Based Algorithm for Lidar Position Determination in Mobile Robotics.
L Mochurad, OV Matviiv, H Lema, R Vilhutska - MoMLeT+ DS, 2023 - ceur-ws.org
Accurate assessment of the Lidar position has always been a fundamental task in any
navigation system: localization, dynamic map construction, and path planning. In mobile …
navigation system: localization, dynamic map construction, and path planning. In mobile …
Cuda-based parallelization of gradient boosting and bagging algorithm for diagnosing diabetes
L Mochurad - Computer systems and information …, 2023 - csitjournal.khmnu.edu.ua
Data, its volume, structure, and form of presentation are among the most significant
problems in working in the medical field. The probability of error is very high without …
problems in working in the medical field. The probability of error is very high without …
Scene Classification Method based on CNN
Y Ran, Q Qu, X Xu, M Luo - 2023 5th International Symposium …, 2023 - ieeexplore.ieee.org
To address the challenge faced by indoor robots with two-dimensional (2D) LiDAR in
accurately recognizing scenes, a scene classification method based on one-dimensional …
accurately recognizing scenes, a scene classification method based on one-dimensional …