Results 151 to 160 of about 103,598 (304)

Multi-Sensor Fusion Approach to Moving Object Detection and Tracking for Autonomous Driving

open access: yes, 2018
Autonomous vehicles, or self-driving vehicles, must be able to actively perceive and understand their immediate surroundings to operate safely in complex and dynamic traffic environments.
Hyunggi Cho (5403311)
core   +1 more source

Multifunctional Gold Nanocluster‐Based PROTAC System for Targeted Degradation of Phosphorylated Tau and Modulation of Neuroinflammation in Alzheimer's Disease

open access: yesAdvanced Functional Materials, EarlyView.
We present a novel proteolysis‐targeting chimera (PROTAC) system conjugated to lipoic acid gold nanoclusters (PLANC), designed to degrade pTau, regulate inflammatory signaling, and effectively traverse the blood‐brain barrier (BBB). PLANC degraded pTau at various phosphorylation sites, with mechanistic studies confirming proteasome‐mediated degradation
Sarah Nevins   +9 more
wiley   +1 more source

Learning object behaviour models [PDF]

open access: yes, 1998
The human visual system is capable of interpreting a remarkable variety of often subtle, learnt, characteristic behaviours. For instance we can determine the gender of a distant walking figure from their gait, interpret a facial expression as that of ...
Johnson, Neil
core  

Thermally Pre‐Formed Reconfigurable Resistive Random‐Access Memory Crossbar Arrays: A Dual‐Mode Platform for Robust Physically Unclonable Functions and In‐Memory Computing

open access: yesAdvanced Functional Materials, EarlyView.
A reconfigurable RRAM platform utilizing thermally pre‐formed filaments (TPFs) is developed to realize robust hardware security. By exploiting the thermodynamic stochasticity of TPFs, exceptionally reliable physically unclonable functions (PUFs) are achieved.
Seongbin Kwon   +4 more
wiley   +1 more source

Smart object, not smart environment : cooperative augmentation of smart objects using projector-camera systems [PDF]

open access: yes, 2008
Smart objects research explores embedding sensing and computing into everyday objects - augmenting objects to be a source of information on their identity, state, and context in the physical world.
Molyneaux, David
core  

UTrack: Multi-object Tracking with Uncertain Detections

open access: yes
The tracking-by-detection paradigm is the mainstream in multi-object tracking, associating tracks to the predictions of an object detector. Although exhibiting uncertainty through a confidence score, these predictions do not capture the entire variability of the inference process.
Edgardo Solano-Carrillo   +6 more
openaire   +2 more sources

Development of a Three‐Axis Planar Hall Magnetoresistance Sensor Using a Superparamagnetic Nanoparticle‐Based Flux Guide

open access: yesAdvanced Functional Materials, EarlyView.
A printed superparamagnetic nanoparticle‐based flux guide enables the realization of a hysteresis‐free three‐axis magnetic sensor. This innovative architecture efficiently redirects out‐of‐plane fields to planar sensing elements, facilitating simultaneous vector detection without complex reset protocols.
Changyeop Jeon   +10 more
wiley   +1 more source

Robust automatic target tracking based on a Bayesian ego-motion compensation framework for airborne FLIR imagery

open access: yes, 2009
Automatic target tracking in airborne FLIR imagery is currently a challenge due to the camera ego-motion. This phenomenon distorts the spatio-temporal correlation of the video sequence, which dramatically reduces the tracking performance.
Salgado Álvarez de Sotomayor, Luis   +3 more
core  

Multi-object tracking using sparse representation

open access: yes, 2013
Manuscript to ICASSP 2013International audienceRecently sparse representation has been successfully applied to single object tracking by observing the reconstruction error of candidate object with sparse representation. In practice, sparse representation
Kidiyo Kpalma   +7 more
core   +1 more source

Infrared multi‐target detection and tracking in dense urban traffic scenes

open access: yesIET Image Processing
Infrared object detection and tracking in dense urban traffic remain a challenge due to factors such as low contrast, small intra‐class differences, and frequent false positives and negatives.
Chaoneng Zha, Suyun Luo, Xinhao Xu
doaj   +1 more source

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