Results 11 to 20 of about 5,031,806 (245)
Multi-Sensor Context-Aware Clothing [PDF]
, 2002 Inspired by perception in biological systems,distribution of a massive amount of simple sensingdevices is gaining more support in detectionapplications.
Van Laerhoven, Kristof +10 more
core +5 more sources
Multi-Target Tracking AA Fusion Method for Asynchronous Multi-Sensor Networks
Sensors, 2023 Aiming at the problem of asynchronous multi-target tracking, this paper studies the AA fusion optimization problem of multi-sensor networks. Firstly, each sensor node runs a PHD filter, and the measurement information obtained from different sensor nodes
Kuiwu Wang +3 more
doaj +1 more source
Multi-Sensor Data Fusion Method Based on Self-Attention Mechanism
Applied Sciences, 2023 In 3D reconstruction tasks, single-sensor data fusion based on deep learning is limited by the integrity and accuracy of the data, which reduces the accuracy and reliability of the fusion results. To address this issue, this study proposes a multi-sensor
Xuezhu Lin +5 more
doaj +1 more source
Multi‐vehicle multi‐sensor occupancy grid map fusion in vehicular networks
IET Communications, 2022 Sensing is an essential part in autonomous driving and intelligent transportation systems. It enables the vehicle to better understand itself and its surrounding environment.
Xi Meng, Dongliang Duan, Tao Feng
doaj +1 more source
Multi-sensor based strategy learning with deep reinforcement learning for unmanned ground vehicle
International Journal of Intelligent Networks, 2023 As intelligent Unmanned Ground Vehicles (UGVs) find broader applications in areas such as transportation and logistics. The fusion of multiple sensors becomes crucial, since it not only amplifies UGV perception in dynamic scenarios but also underpins ...
Mingyu Luo
doaj +1 more source
Unmanned driving-oriented underground mine pedestrian detection method
Gong-kuang zidonghua, 2021 Pedestrian detection is a key technology for unmanned driving in underground coal mine, which is affected by uneven illumination, complex background, infrared interference, dim light and small and dense targets in images, etc.
LIU Beizhan1 +2 more
doaj +1 more source
Merging probabilistic data of multiple targets detected by multiple sensors [PDF]
, 2009 The aim of this work is to present an extension to current data fusion techniques and associated results for the implementation of a collaborative multi-platform, multi-target detection system. A multi-sighting data fusion algorithm has been simulated.
Tsourdos, Antonios +3 more
core +7 more sources
Sensors, 2023 Multi-modal sensors are the key to ensuring the robust and accurate operation of autonomous driving systems, where LiDAR and cameras are important on-board sensors.
Yan Zhang +6 more
doaj +1 more source
Multi-sensor data fusion for urban area classification [PDF]
, 2011 Nowadays many sensors for information acquisition are widely employed in remote sensing and different properties of the objects can be revealed. Unfortunately each imaging sensor has its own limits on scene recognition in the sense of thematic, temporal,
Palubinskas, Gintautas +5 more
core +1 more source
Multi-sensor remote sensing information fusion for urban area classification and change detection [PDF]
, 2011 Information extraction from multi-sensor remote sensing imagery is an important and challenging task for many applications such as urban area mapping and change detection. A special acquisition (orthogonal) geometry is of great importance for optical and
Palubinskas, Gintautas +5 more
core +1 more source