Results 41 to 50 of about 1,963,097 (252)
Multi Sensor Image Fusion using Empirical Mode Decomposition [PDF]
, 2013 Image fusion is a process of combining relevant information from two or more images from different sensors based on certain algorithm. Many algorithms have been proposed for pixel level image fusion.
Naidu, VPS, Shakthipriya, VS
core
A Survey of the Multi-Sensor Fusion Object Detection Task in Autonomous Driving
SensorsMulti-sensor fusion object detection is an advanced method that improves object recognition and tracking accuracy by integrating data from different types of sensors.
Hai Wang +3 more
doaj +1 more source
Diversity and complexity in neural organoids
FEBS Letters, EarlyView.Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
Wheel-Mounted Inertial Datasets
Scientific DataA wheel-mounted inertial sensor mitigates inertial drift more effectively than an inertial sensor mounted on the vehicle chassis. Although their usage is increasing, there is no publicly available dataset for wheel-mounted inertial sensors.
Dusan Nemec +6 more
doaj +1 more source
FEBS Letters, EarlyView.Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
wiley +1 more source
Multi-resolution, multi-sensor image fusion: general fusion framework [PDF]
, 2011 Multi-resolution image fusion also known as pansharpening aims to include spatial information from a high resolution image, e.g. panchromatic or Synthetic Aperture Radar (SAR) image, into a low resolution image, e.g.
Palubinskas, Gintautas +3 more
core +1 more source
Biophysical approaches for studying viral entry
FEBS Letters, EarlyView.Viruses infect all living organisms and have been responsible for major epidemics and pandemics. Their ongoing evolutionary battle with host defenses creates a constant need for improved tools to study viral behavior. Advancing methods to probe viral attachment, fusion, and genome release deepen our understanding of how infections begin and support the
Inbar Yosibash, Raya Sorkin
wiley +1 more source
Multi Level Fusion of Competitive Sensors for Automotive Environment Perception [PDF]
, 2013 A reference sensor system, consisting of a multilayer laser scanner and a stereo camera system, is used for detecting vehicle surroundings. Via a novel multi level multi sensor fusion framework the heterogeneous sensor information can be fused on three ...
Kozempel, Karsten, Haberjahn, Mathias
core
Transformer-Based Sensor Fusion for Autonomous Vehicles: A Comprehensive Review
IEEE AccessSensor fusion is vital for many critical applications, including robotics, autonomous driving, aerospace, and beyond. Integrating data streams from different sensors enables us to overcome the intrinsic limitations of each sensor, providing more reliable
Ahmed Abdulmaksoud, Ryan Ahmed
doaj +1 more source
An improved belief entropy–based uncertainty management approach for sensor data fusion
International Journal of Distributed Sensor Networks, 2017 In real applications, sensors may work in complicated environments; thus, how to measure the uncertain degree of sensor reports before applying sensor data fusion is a big challenge.
Yongchuan Tang +3 more
doaj +1 more source