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Vehicle State Estimation and Prediction for Autonomous Driving in a Round Intersection

open access: yesVehicles, 2023
This paper presents methods for vehicle state estimation and prediction for autonomous driving. A round intersection is chosen for application of the methods and to illustrate the results as autonomous vehicles have difficulty in handling round ...
Xinchen Li   +2 more
doaj   +2 more sources

Capacity Estimation of Signalized Intersections Considering Connected Automated Vehicle Observability [PDF]

open access: yesSensors
With the advancement of sensing, communication, and cooperative capabilities of connected automated vehicles (CAVs), the capacity and operational state of signalized intersections have become increasingly observable and suitable for prospective ...
Ruochuan Fan, Jian Lu
doaj   +2 more sources

Object detection as an aid for locating the prostate in surface-based abdominal ultrasound images [PDF]

open access: yesCommunications Engineering
Automatic object detection is increasingly used in the medical field to enhance clinical workflows before, during, and after diagnosis of various conditions.
Rory D. Bennett   +3 more
doaj   +2 more sources

Real-Time Turning Movement, Queue Length, and Traffic Density Estimation and Prediction Using Vehicle Trajectory and Stationary Sensor Data [PDF]

open access: yesSensors
This paper introduces a two-stage adaptive Kalman filter algorithm to estimate and predict traffic states required for real-time traffic signal control.
Amr K. Shafik, Hesham A. Rakha
doaj   +2 more sources

Flexible Sensorless Position Control of Switched Reluctance Motors considering Both Embrace Design and Magnetic Saturation

open access: yesFrontiers in Energy Research, 2022
Precise estimation of position is essential in the control of switched reluctance motors (SRMs). Traditionally, the intersection of the adjacent inductance can be utilized to estimate the rotor position, however, magnetic saturation brings about ...
Hui Cai   +4 more
doaj   +1 more source

Electric Vehicle State Parameter Estimation Based on DICI-GFCKF

open access: yesIEEE Access, 2022
To improve the estimation accuracy of the state parameters of distributed electric vehicles, a double inverse covariance intersection generalized fifth-order cubature Kalman filter (DICI-GFCKF) es-timation algorithm is proposed.
Zhang Rongyun   +5 more
doaj   +1 more source

Infrastructure-Aided Localization and State Estimation for Autonomous Mobile Robots

open access: yesRobotics, 2022
A slip-aware localization framework is proposed for mobile robots experiencing wheel slip in dynamic environments. The framework fuses infrastructure-aided visual tracking data (via fisheye lenses) and proprioceptive sensory data from a skid-steer mobile
Daniel Flögel   +2 more
doaj   +1 more source

Unifying Consensus and Covariance Intersection for Efficient Distributed State Estimation Over Unreliable Networks [PDF]

open access: yesIEEE Transactions on Robotics, 2021
This article presents and studies a recursive information consensus filter for decentralized dynamic state estimation under circumstances in which the communication network is unreliable. Local estimators are assumed to have access only to local information, and no structure is assumed about the topology of the communication network, which need not be ...
Amirhossein Tamjidi   +5 more
openaire   +1 more source

Urban Traffic Signal Control under Mixed Traffic Flows: Literature Review

open access: yesApplied Sciences, 2023
Mixed traffic flows are opening up new areas for research and are seen as key drivers in the field of data and services that will make roads safer and more environmentally friendly.
Željko Majstorović   +3 more
doaj   +1 more source

Distributed Moving Horizon Fusion Estimation for Nonlinear Constrained Uncertain Systems

open access: yesMathematics, 2023
This paper studies the state estimation of a class of distributed nonlinear systems. A new robust distributed moving horizon fusion estimation (DMHFE) method is proposed to deal with the norm-bounded uncertainties and guarantee the estimation performance.
Shoudong Wang, Binqiang Xue
doaj   +1 more source

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