Results 21 to 30 of about 151,652 (272)

Heading percentage estimation in proso millet (Panicum miliaceum L.) using aerial imagery and deep learning

open access: yesPlant Phenome Journal, 2022
Proso millet (Panicum miliaceum L.), one of the major cultivated millets, serves as a complement to major cereal crops due to its drought tolerance and low input demands. Timing of heading is one of the key agronomic traits associated with its adaptation
Biquan Zhao   +6 more
doaj   +1 more source

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

Modeling human learning involved in car driving [PDF]

open access: yes, 1994
In this paper, car driving is considered at the level of human tracking and maneuvering in the context of other traffic. A model analysis revealed the most salient features determining driving performance and safety.
Wewerinke, P.H.
core   +8 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

Estimating Head Motion from Mr-Images

open access: yes2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 2023
Head motion is an omnipresent confounder of magnetic resonance image (MRI) analyses as it systematically affects morphometric measurements, even when visual quality control is performed. In order to estimate subtle head motion, that remains undetected by experts, we introduce a deep learning method to predict in-scanner head motion directly from T1 ...
Pollak, Clemens   +2 more
openaire   +4 more sources

Heading estimation fusing inertial sensors and landmarks for indoor navigation using a smartphone in the pocket

open access: yesEURASIP Journal on Wireless Communications and Networking, 2017
Principal component analysis (PCA)-based approach for user heading estimation using a smartphone in the pocket suffers from an inaccurate estimation of device attitude, which plays a central role in both obtaining acceleration signals in the horizontal ...
Zhian Deng   +4 more
doaj   +1 more source

State Estimation for Kite Power Systems with Delayed Sensor Measurements [PDF]

open access: yes, 2017
We present a novel estimation approach for airborne wind energy systems with ground-based control and energy generation. The estimator fuses measurements from an inertial measurement unit attached to a tethered wing and position measurements from a ...
Hesse, Henrik   +3 more
core   +1 more source

Invariant observers for attitude and heading estimation from low-cost inertial and magnetic sensors [PDF]

open access: yes, 2007
International audienceIn this paper we propose invariant nonlinear observers for attitude and heading estimation using directly the measurements from low-cost inertial and magnetic sensors.
Martin, Philippe, Salaün, Erwan
core   +3 more sources

Direction specific biases in human visual and vestibular heading perception. [PDF]

open access: yesPLoS ONE, 2012
Heading direction is determined from visual and vestibular cues. Both sensory modalities have been shown to have better direction discrimination for headings near straight ahead.
Benjamin T Crane
doaj   +1 more source

Monocular navigation for long-term autonomy [PDF]

open access: yes, 2013
We present a reliable and robust monocular navigation system for an autonomous vehicle. The proposed method is computationally efficient, needs off-the-shelf equipment only and does not require any additional infrastructure like radio beacons or GPS ...
Krajnik, Tomas   +2 more
core   +1 more source

Home - About - Disclaimer - Privacy