Results 41 to 50 of about 312,110 (285)

Review of the Method for Distributed Multi-sensor Multi-target Tracking

Leida xuebao, 2023
Multi-sensor multi-target tracking is a popular topic in the field of information fusion. It improves the accuracy and stability of target tracking by fusing multiple local sensor information.
Yajun ZENG, Jun WANG, Shaoming WEI, Jinping SUN, Peng LEI   +4 more
doaj   +1 more source

Tracking filter and multi-sensor data fusion [PDF]

, 2000
In this paper factorization filtering, fusion filtering strategy and related algorithms are presented.
Appavu, Raj R, Girija, G, Kashyap, SK, Raol, JR   +3 more
core  

Deep Multimodal Representation Learning from Temporal Data

, 2017
In recent years, Deep Learning has been successfully applied to multimodal learning problems, with the aim of learning useful joint representations in data fusion applications.
Bernal, Edgar A., Chitta, Radha, Luo, Jiebo, Madhvanath, Sriganesh, Ramesh, Palghat, Yang, Xitong   +5 more
core   +1 more source

Deep segmentation of 3+1D radar point cloud for real-time roadside traffic user detection

Scientific Reports
Smart cities rely on intelligent infrastructure to enhance road safety, optimize traffic flow, and enable vehicle-to-infrastructure (V2I) communication.
Savankumar Bhanderi, Shiva Agrawal, Gordon Elger   +2 more
doaj   +1 more source

Physiological Sensor Signals Classification for Healthcare Using Sensor Data Fusion and Case-Based Reasoning

Sensors, 2014
Today, clinicians often do diagnosis and classification of diseases based on information collected from several physiological sensor signals. However, sensor signal could easily be vulnerable to uncertain noises or interferences and due to large ...
Shahina Begum, Shaibal Barua, Mobyen Uddin Ahmed   +2 more
doaj   +1 more source

‘They Need to Hear You Say It’: Healthcare Professionals’ Perspectives on Barriers and Enablers to End‐of‐Life Discussions With Adolescents and Young Adults With Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT End‐of‐life conversations with adolescents and young adults (AYAs) with cancer rarely occur without the guidance of healthcare professionals. As a part of the ‘Difficult Discussions’ study, focused on palliative care and advance care planning discussions with AYAs with cancer, we investigated the factors that healthcare professionals identify ...
Justine Lee, Holly Evans, Claire E. Wakefield, Antoinette Anazodo, Richard J. Cohn, Brittany C. McGill, Elizabeth A. Lobb, Lori Wiener, Madeleine L. Juhrmann, Ursula M. Sansom‐Daly   +9 more
wiley   +1 more source

Feasibility and Safety of High‐Dose Proton Re‐Irradiation in Recurrent Pediatric Central Nervous System Tumors: A Single‐Institution Retrospective Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Pediatric central nervous system (CNS) tumors often recur despite multimodality therapy. Although re‐irradiation (re‐RT) has historically been limited by concerns for severe late toxicities, modern techniques have renewed interest in this approach. Proton therapy provides dosimetric advantages that may enable curative re‐treatment with
Jin‐Ho Song, Jonathan Baron, Carlos Chavez Perez, Sidharth Ramesh, Jane Minturn, Kavita A. Desai, Amish C. Shah, Jean M. Belasco, Kristina A. Cole, Michael J. Fisher, Phillip B. Storm, Peter M. Madsen, Goldie Kurtz, Robert A. Lustig, Christine Hill‐Kayser, Michael J. LaRiviere   +15 more
wiley   +1 more source

A Survey of the Multi-Sensor Fusion Object Detection Task in Autonomous Driving

Sensors
Multi-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, Junhao Liu, Haoran Dong, Zheng Shao   +3 more
doaj   +1 more source

Situation awareness via Internet of things and in-network data processing

International Journal of Distributed Sensor Networks, 2017
Computing on the edge of the Internet of things comprises among other tasks in-sensor signal processing and performing distributed data fusion and aggregation at network nodes.
Johannes Ehala, Jaanus Kaugerand, Raido Pahtma, Sergei Astapov, Andri Riid, Timo Tomson, Jürgo-Sören Preden, Leo Mõtus   +7 more
doaj   +1 more source

Research on multisensor high precision data fusion algorithm for mobile robot

Dianzi Jishu Yingyong, 2018
In this paper, based on fuzzy proximity data fusion algorithm, the algorithm of multi-sensor high precision data fusion for mobile robot is studied. The estimated value and the measured value are fuzzy, and the fuzzy lattice close degree is calculated ...
Ren Jie
doaj   +1 more source