Fortifying Visual-Inertial Odometry: Lightweight Defense Against Laser Interference via a Shallow CNN and Optimized Kalman Filtering. DOI Creative Commons
A. Ebrahimi, M. R. Mosavi, Ahmad Ayatollahi

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103509 - 103509

Published: Nov. 1, 2024

Language: Английский

Pedestrian inertial navigation: An overview of model and data-driven approaches DOI Creative Commons
Itzik Klein

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104077 - 104077

Published: Jan. 1, 2025

Language: Английский

Citations

0
An Improved Adaptive Monte Carlo Localization Algorithm Integrated with a Virtual Motion Model DOI Creative Commons

Cili Zuo,

Demin Xie,

Lianghong Wu

et al.

Sensors, Journal Year: 2025, Volume and Issue: 25(8), P. 2471 - 2471

Published: April 14, 2025

Regarding the issue of high dependency on odometry in adaptive Monte Carlo localization (AMCL) algorithm, an improved AMCL algorithm based normal distributions transform (NDT) and extended Kalman filter (EKF) is proposed. A virtual motion model introduced into framework to enable pose updates even when robot has not moved. NDT used for point cloud matching estimate displacement calculate control quantities, which are then fed predict update particle states Additionally, avoid negative impacts encoder errors wheel slippage state estimation, EKF integrates information from odometer inertial measurement unit robot’s displacement, thereby improving accuracy stability. The performance proposed was experimentally validated both simulated real environments compared with other algorithms. Experimental results show that can effectively improve speed during cold start phase enhances stability throughout process. method a potential mobile localization.

Language: Английский

Citations

0
A review on Control momentum Gyroscopic Stabilization for intelligent balance Assistance in Electric Two-wheeler DOI Creative Commons

Prithvi Raj Pedapati,

C. Ramesh Kumar

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 105069 - 105069

Published: April 1, 2025

Language: Английский

Citations

0
Optimizing autonomous navigation in unknown environments: A novel trap avoiding vector field histogram algorithm VFH+T DOI Creative Commons
Husam A. Neamah,

Elek Donát,

Péter Köröndi

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 23, P. 102625 - 102625

Published: July 27, 2024

The Vector Field Histogram Plus (VFH+) algorithm is a cornerstone in robotic navigation, renowned for its efficiency and straightforward implementation across multitude of environments. Despite widespread utility, the algorithm's inherent limitations handling complex obstacle entrapments necessitate refinement. This paper presents an advanced iteration, designated as VFH + T, which incorporates sophisticated memory-based trap recognition avoidance mechanisms. enhancement facilitates dynamic adjustment navigation strategies through integration geometrical rules that retrospectively inform path planning decisions. Moreover, T intricately melds platform's kinematic constraints, optimizing real-time navigational commands based on both current sensory input historical environmental interactions. Empirical simulations validate enhanced proficiency circumventing traps, improving operational safety efficiency. Comparative analysis with VFH+ VFH* algorithms show up to 17 % reduction traveling distance due trap-avoidance technique during navigation. advancement holds significant implications enhancing autonomous technologies various practical applications, from self-driving vehicles aids logistics service industries.

Language: Английский

Citations

3
Optimized TD3 Algorithm for Robust Autonomous Navigation in Crowded and Dynamic Human-Interaction Environments DOI Creative Commons
Husam A. Neamah,

Oscar A. Mayorga

Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 102874 - 102874

Published: Sept. 1, 2024

Language: Английский

Citations

2
Dynamic and probabilistic safety zones for autonomous mobile robots operating near humans DOI Creative Commons
Fabrice Saffre, Hanno Hildmann, Eetu Heikkilä

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 23, P. 102731 - 102731

Published: Aug. 14, 2024

The inefficiency of maintaining static and long-lasting safety zones in environments where actual risks are limited is likely to increase the coming decades, as autonomous systems become more common human workers fewer numbers. Nevertheless, an uncompromising approach remains paramount, requiring introduction novel methods that simultaneously flexible capable delivering same level protection against potentially hazardous situations. We present such a method create dynamic zones, boundaries which can be redrawn real-time, taking into account explicit positioning data when available using conservative extrapolation from last known location information missing or unreliable. Simulation statistical were used investigate performance gains compared zones. use advanced probabilistic framework further improve flexibility also discussed, although its implementation would not offer currently recommended.

Language: Английский

Citations

0
Fortifying Visual-Inertial Odometry: Lightweight Defense Against Laser Interference via a Shallow CNN and Optimized Kalman Filtering. DOI Creative Commons
A. Ebrahimi, M. R. Mosavi, Ahmad Ayatollahi

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103509 - 103509

Published: Nov. 1, 2024

Language: Английский

Citations

0