Results 41 to 50 of about 3,083,050 (398)
Deep Learning Sensor Fusion for Autonomous Vehicle Perception and Localization: A Review
Italian National Conference on Sensors, 2020 Autonomous vehicles (AV) are expected to improve, reshape, and revolutionize the future of ground transportation. It is anticipated that ordinary vehicles will one day be replaced with smart vehicles that are able to make decisions and perform driving ...
Jamil Fayyad +3 more
semanticscholar +1 more source
Design of Health Monitoring Program for Filling System based on Data Level Fusion
MATEC Web of Conferences, 2016 Aiming at filling system health monitoring, the health monitoring type partition based on the data level fusion is studied. The health monitoring type is mainly divided into two parts, fusion-threshold monitoring based on single sensor data and fusion ...
Cheng Long +4 more
doaj +1 more source
Miniature mobile sensor platforms for condition monitoring of structures [PDF]
, 2009 In this paper, a wireless, multisensor inspection system for nondestructive evaluation (NDE) of materials is described. The sensor configuration enables two inspection modes-magnetic (flux leakage and eddy current) and noncontact ultrasound.
Chan, C.C. +6 more
core +1 more source
Italian National Conference on Sensors, 2021 The Kalman filter variants extended Kalman filter (EKF) and error-state Kalman filter (ESKF) are widely used in underwater multi-sensor fusion applications for localization and navigation.
N. Shaukat +4 more
semanticscholar +1 more source
Kalman Filtering with Uncertain Process and Measurement Noise Covariances with Application to State Estimation in Sensor Networks [PDF]
, 2007 Distributed state estimation under uncertain process and measurement noise covariances is considered. An algorithm based on sensor fusion using Kalman filtering is investigated.
Johansson, Karl Henrik +2 more
core +2 more sources
Multi-Sensor Fusion for Navigation and Mapping in Autonomous Vehicles: Accurate Localization in Urban Environments [PDF]
Unmanned Systems, 2020 The combination of data from multiple sensors, also known as sensor fusion or data fusion, is a key aspect in the design of autonomous robots. In particular, algorithms able to accommodate sensor fusion techniques enable increased accuracy, and are more ...
Qingqing Li +4 more
semanticscholar +1 more source
A Fault-Tolerant Multiple Sensor Fusion Approach Applied to UAV Attitude Estimation
International Journal of Aerospace Engineering, 2016 A novel sensor fusion design framework is presented with the objective of improving the overall multisensor measurement system performance and achieving graceful degradation following individual sensor failures.
Yu Gu +3 more
doaj +1 more source
Self-supervised learning: When is fusion of the primary and secondary sensor cue useful? [PDF]
, 2017 Self-supervised learning (SSL) is a reliable learning mechanism in which a robot enhances its perceptual capabilities. Typically, in SSL a trusted, primary sensor cue provides supervised training data to a secondary sensor cue.
Elin Sørhus +7 more
core +7 more sources
Frontiers in Neuroscience, 2020 Hand gestures are a form of non-verbal communication used by individuals in conjunction with speech to communicate. Nowadays, with the increasing use of technology, hand-gesture recognition is considered to be an important aspect of Human-Machine ...
Enea Ceolini +6 more
semanticscholar +1 more source
Applied Sciences, 2019 Sensor fusion frameworks for indoor localization are developed with the specific goal of reducing positioning errors. Although many conventional localization frameworks without fusion have been improved to reduce positioning error, sensor fusion ...
Alwin Poulose, Jihun Kim, Dong Seog Han
doaj +1 more source