Results 21 to 30 of about 1,648,298 (270)

A Ship Heading Estimation Method Based on DeepLabV3+ and Contrastive Learning-Optimized Multi-Scale Similarity

open access: yesJournal of Marine Science and Engineering
With the rapid development of global maritime trade, high-precision ship heading estimation has become crucial for maritime traffic safety and intelligent shipping.
Weihao Tao   +4 more
doaj   +2 more sources

Axes Mapping and Sensor Fusion for Attitude-Unconstrained Pedestrian Dead Reckoning [PDF]

open access: yesSensors
Localization and navigation techniques have become fundamental for modern lives, while achieving accurate results indoors still remains a significant challenge.
Constantina Isaia   +3 more
doaj   +2 more sources

Hybrid Neural Network-Based PDR with Multi-Layer Heading Correction Across Smartphone Carrying Modes [PDF]

open access: yesSensors
Traditional pedestrian inertial navigation (PDR) algorithms usually assume that the carrying mode of a smartphone is fixed and remains horizontal, while ignoring the significant impact of dynamic changes in the carrying mode on heading estimation, which ...
Junhua Ye   +5 more
doaj   +2 more sources

Heading Estimation of Robot Combine Harvesters during Turning Maneuveres. [PDF]

open access: yesSensors (Basel), 2018
Absolute heading is an important parameter for a robot combine harvester or a robot tracked combine harvester, especially while it is turning, but due to the rapid turning of robot combine harvesters, its inertial measurement unit gives a gyro ...
Rahman MM, Ishii K.
europepmc   +2 more sources

Estimation of Relative Chlorophyll Content in Spring Wheat Based on Multi-Temporal UAV Remote Sensing

open access: yesAgronomy, 2023
Relative chlorophyll content (SPAD) is an important index for characterizing the nitrogen nutrient status of plants. Continuous, rapid, nondestructive, and accurate estimation of SPAD values in wheat after heading stage can positively impact subsequent ...
Qiang Wu   +4 more
doaj   +1 more source

Multi-Task Head Pose Estimation in-the-Wild [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
We present a deep learning-based multi-task approach for head pose estimation in images. We contribute with a network architecture and training strategy that harness the strong dependencies among face pose, alignment and visibility, to produce a top performing model for all three tasks.
Roberto Valle   +2 more
openaire   +6 more sources

Head pose estimation by regression algorithm

open access: yesPattern Recognition Letters, 2020
Abstract Head pose estimation is a very in-depth topic in the context of biometric recognition, especially in video surveillance, because the rotation of the head can affect the recognition of some features of the face. Being able to recognize in advance the pose of the head in pitch, yaw and roll enable frontalization or the extraction of a frame in
Abate A. F., Barra P., Pero C., Tucci M.
openaire   +2 more sources

Stature estimation using head circumference

open access: yesJournal of Advanced Pharmaceutical Technology & Research, 2022
Stature is an essential measurement in anthropometry that resolves individual representation of the body. Forensic determination is the resolution of origin, sex, and natural height. Many previous study has been done on estimation of height using various measurements of teeth and skull. The aim of this study was to estimate stature
R Prenetha, K Yuvaraj Babu
openaire   +3 more sources

RoboNav: An Affordable Yet Highly Accurate Navigation System for Autonomous Agricultural Robots

open access: yesRobotics, 2022
The paper presents RoboNav, a cost-effective and accurate decimeter-grade navigation system that can be used for deployment in the field of autonomous agricultural robots. The novelty of the system is the reliance on a dual GPS configuration based on two
Rocco Galati   +2 more
doaj   +1 more source

Short-data recursive HMM parameter estimation for rapid vision-based aircraft heading estimation [PDF]

open access: yes, 2014
Rapid recursive estimation of hidden Markov Model (HMM) parameters is important in applications that place an emphasis on the early availability of reasonable estimates (e.g.
Timothy L. Molloy   +3 more
core   +1 more source

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