Results 31 to 40 of about 599,835 (289)

Line cameras for monitoring and surveillance sensor networks [PDF]

open access: yesProceedings of the 15th ACM international conference on Multimedia, 2007
A linear CCD sensor reads temporal data from a CCD array continuously and forms a 2D image profile. Compared to most of the sensors in the current sensor networks that output temporal signals, it delivers more information such as color, shape, and event of a flowing scene.
Jiang Yu Zheng, Shivank Sinha
openaire   +1 more source

Localization of Mobile Robot Based on Fusion of Artificial Landmark and RF TDOA Distance under Indoor Sensor Network

open access: yesInternational Journal of Advanced Robotic Systems, 2011
In this paper, we propose a robust and real-time localization method for dynamic environments based on a sensor network; the method combines landmark image information obtained from an ordinary camera and distance information obtained from sensor nodes ...
Yoon-Gu Kim, Jinung An, Ki-Dong Lee
doaj   +1 more source

Fault Diagnosis of the Autonomous Driving Perception System Based on Information Fusion

open access: yesSensors, 2023
The reliability of autonomous driving sensing systems impacts the overall safety of the driving system. However, perception system fault diagnosis is currently a weak area of research, with limited attention and solutions.
Wenkui Hou, Wanyu Li, Pengyu Li
doaj   +1 more source

Distributed Collaborative Camera Actuation Scheme Based on Sensing-Region Management for Wireless Multimedia Sensor Networks

open access: yesInternational Journal of Distributed Sensor Networks, 2012
Considering the high energy consumption of image acquisition, computation, and transmission in wireless multimedia sensor networks (WMSNs), two-tier network structure is usually used to lighten the energy consumption burden on camera sensors.
Wusheng Luo, Qin Lu, Jingjing Xiao
doaj   +1 more source

EAGAN: Event‐based attention generative adversarial networks for optical flow and depth estimation

open access: yesIET Computer Vision, 2022
Event camera is a new vision sensor that produces independent asynchronous responses to each pixel's change of illumination intensity. The unique principle of event camera has many advantages over traditional cameras, such as low latency, high temporal ...
Xiuhong Lin   +4 more
doaj   +1 more source

Camera-LiDAR Fusion Method with Feature Switch Layer for Object Detection Networks

open access: yesSensors, 2022
Object detection is an important factor in the autonomous driving industry. Object detection for autonomous vehicles requires robust results, because various situations and environments must be considered.
Taek-Lim Kim, Tae-Hyoung Park
doaj   +1 more source

Deep Learning on Multimodal Sensor Data at the Wireless Edge for Vehicular Network [PDF]

open access: yesIEEE Transactions on Vehicular Technology, 2022
Beam selection for millimeter-wave links in a vehicular scenario is a challenging problem, as an exhaustive search among all candidate beam pairs cannot be assuredly completed within short contact times.
Batool Salehi   +7 more
semanticscholar   +1 more source

Synchronized High-Speed Vision Sensor Network for Expansion of Field of View

open access: yesSensors, 2018
We propose a 500-frames-per-second high-speed vision (HSV) sensor network that acquires frames at a timing that is precisely synchronized across the network.
Akihito Noda   +3 more
doaj   +1 more source

A Distributed Image Compression Scheme for Energy Harvesting Wireless Multimedia Sensor Networks

open access: yesSensors, 2020
As an emerging technology, edge computing will enable traditional sensor networks to be effective and motivate a series of new applications. Meanwhile, limited battery power directly affects the performance and survival time of sensor networks.
Chong Han   +4 more
doaj   +1 more source

YOdar: Uncertainty-based Sensor Fusion for Vehicle Detection with Camera and Radar Sensors [PDF]

open access: yesInternational Conference on Agents and Artificial Intelligence, 2020
In this work, we present an uncertainty-based method for sensor fusion with camera and radar data. The outputs of two neural networks, one processing camera and the other one radar data, are combined in an uncertainty aware manner. To this end, we gather
Kamil Kowol   +3 more
semanticscholar   +1 more source

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