Results 161 to 170 of about 270,111 (384)

System Integration and Field Testing of Low‐Cost Autonomous Platooning Platforms: Collision Avoidance Scenario

Journal of Field Robotics, EarlyView.
ABSTRACT This paper presents the development and validation of a scalable platooning system based on the predecessor‐following (PF) topology, designed for low‐cost follower platforms. It integrates key technologies such as localization, path planning, profile generation, and low‐level control to create a practical solution.
Dongwoo Seo, Jinhee Lee, Jaeyoung Kang
wiley   +1 more source

Combing Extended Kalman Filters and Support Vector Machines for Online Option Price Forecasting [PDF]

, 2006
Shian-Chang Huang
openalex   +1 more source

Extended Kalman Filter Based Fuzzy Adaptive Filter

, 2009
Fundamentals of fuzzy logic, fuzzy logic system, equalizer, adaptive equalizer and fuzzy adaptive equalizer are described in this chapter. A new fuzzy adaptive equalizer with extended Kalman filter adaptation (EKFAE) had been derived in this chapter for communication channel equalization.
Wong, Wai Kit, Lim, Heng Siong
openaire   +3 more sources

Haptic Teleoperation in Extended Reality for Electric Vehicle Battery Disassembly Using Gaussian Mixture Regression

Journal of Field Robotics, EarlyView.
ABSTRACT We present a comprehensive teleoperation framework for electric vehicle (EV) battery cell handling, integrating haptic feedback, extended reality (XR) visualization, and task‐parameterized Gaussian mixture regression (TP‐GMR) for adaptive, real‐time trajectory generation.
Alireza Rastegarpanah, Carmelo Mineo, Cesar Alan Contreras, Abdelaziz Shaarawy, Giovanni Paragliola, Rustam Stolkin   +5 more
wiley   +1 more source

A Robust Transformer–Based Error Compensation Method for Gyroscope of IMUs

Journal of Field Robotics, EarlyView.
ABSTRACT Inertial Measurement Units (IMUs), comprising gyroscopes and accelerometers, are fundamental for motion estimation in navigation and robotics. However, their performance is often degraded by nonlinear and time‐varying errors, such as bias drift, scale‐factor deviations, and sensor noise.
Xin Ye, Weijia Xing, Zhilou Yu, Jichen Chen, Qingyue Ma   +4 more
wiley   +1 more source

Long‐Range Time‐Correlated Single‐Photon Counting Lidar 3D‐Reconstruction From a Moving Ground Vehicle

Journal of Field Robotics, EarlyView.
ABSTRACT Time‐correlated single‐photon counting (TCSPC) lidar enables high‐resolution 3D imaging at kilometer range. While previous works have covered long range TCSPC 3D imaging from either stationary or airborne platforms, this is, to the best of our knowledge, the first attempt that use a moving ground vehicle. Fusing measurements taken at different
Hannes Ovrén, Max Holmberg, Markus Henriksson   +2 more
wiley   +1 more source

ADDRESSING ISSUES IN INERTIAL NAVIGATION OF MICRO AERIAL VEHICLES (MAV) VIA AN EXTENDED KALMAN FILTER WITH BIASED SENSORS

, 2012
Ailneni Sanketh
openalex   +1 more source

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

Journal of Field Robotics, EarlyView.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong, Massimiliano Cappuccio, Fady Alnajjar, Luqman Ali, Hamad Al Jassmi, Essam Debie, Milad Ghasrikhouzani, Alessandro Lanteri, Tate McGregor, Oleksandra Molloy, Alice Plebe, Michael Regan, Eduardo Sandoval, Dongmo Zhang   +13 more
wiley   +1 more source

CHOICE EFFECT OF INPUT ACTION MODELS ON MEASURING ACCURACY FOR EXTENDED KALMAN FILTERS

Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, 2019
Choice effect of input action models on measuring accuracy for Extended Kalman filters is considered. Recommendations about practical application of Extended Kalman filter modifications are listed.
P. A. Khmarski, A. S. Solonar
doaj  

Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions

Journal of Field Robotics, EarlyView.
ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos, Steven Kay, Julia Wajoras, Robert Field, Evridiki V. Ntagiou, Fakher Mohammad, Yang Gao   +6 more
wiley   +1 more source