Results 81 to 90 of about 19,182 (197)
Multi-Object Tracking with Interacting Vehicles and Road Map Information
, 2018 In many applications, tracking of multiple objects is crucial for a perception of the current environment. Most of the present multi-object tracking algorithms assume that objects move independently regarding other dynamic objects as well as the static ...
Danzer, Andreas +2 more
core +1 more source
Unscented Kalman Filtering for Articulated Human Tracking [PDF]
, 2011 We present an articulated tracking system working with data from a single narrow baseline stereo camera. The use of stereo data allows for some depth disambiguation, a common issue in articulated tracking, which in turn yields likelihoods that are practically unimodal.
Anders Boesen Lindbo Larsen +2 more
openaire +2 more sources
A Robust Transformer–Based Error Compensation Method for Gyroscope of IMUs
Journal of Field Robotics, Volume 43, Issue 2, Page 932-948, March 2026.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 +4 more
wiley +1 more source
The Coordinate Particle Filter - A novel Particle Filter for High Dimensional Systems
, 2015 Parametric filters, such as the Extended Kalman Filter and the Unscented Kalman Filter, typically scale well with the dimensionality of the problem, but they are known to fail if the posterior state distribution cannot be closely approximated by a ...
Bohg, Jeannette +4 more
core +1 more source
Unscented Kalman Filter for Brain-Machine Interfaces
PLoS ONE, 2009 Brain machine interfaces (BMIs) are devices that convert neural signals into commands to directly control artificial actuators, such as limb prostheses. Previous real-time methods applied to decoding behavioral commands from the activity of populations of neurons have generally relied upon linear models of neural tuning and were limited in the way they
Zheng Li +5 more
openaire +4 more sources
On Wind Directions Estimated by Nacelle Lidar Under Different Reconstruction Methods
Wind Energy, Volume 29, Issue 3, March 2026.ABSTRACT The wind direction is closely linked to the power performance and structural loads of wind turbines. Conventional nacelle‐mounted vanes or sonic anemometers face errors associated with airflow distortions caused by turbine blades. Nacelle‐mounted lidar systems offer line‐of‐sight speed measurements from multiple positions ahead of the rotor ...
Feng Guo +7 more
wiley +1 more source
A Dynamic State-of-Charge Estimation Method for Electric Vehicle Lithium-Ion Batteries
Energies, 2019 With the increasing environmental concerns, plug-in electric vehicles will eventually become the main transportation tools in future smart cities. As a key component and the main power source, lithium-ion batteries have been an important object of ...
Xintian Liu +4 more
doaj +1 more source
Batteries &Supercaps, Volume 9, Issue 2, February 2026.Our open‐source evaluation framework enables rigorous benchmarking of real‐time algorithims. We showcase its functionality through a sodium‐ion battery case study, highlighting key strenghts and limitations for SOC diagnostics. Despite the abundance of battery state estimation algorithms in the BMS literature, their applicability to emerging cell ...
Katharina Lilith Quade +6 more
wiley +1 more source
Global Energy InterconnectionAccurate estimation of the State of Charge (SOC), State of Health (SOH), and Terminal Resistance (TR) is crucial for the effective operation of Battery Management Systems (BMS) in lithium-ion batteries.
Ranagani Madhavi +1 more
doaj +1 more source
The Journal of Engineering, 2018 Battery management systems (BMS) are widely used in energy storage systems and electric vehicles. The precise estimation of state-of-charge is a key factor affecting the performance of BMS.
Shengwei Gao +3 more
doaj +1 more source