Results 31 to 40 of about 599,835 (289)
Line cameras for monitoring and surveillance sensor networks [PDF]
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
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
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
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: Eventābased attention generative adversarial networks for optical flow and depth estimation
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
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]
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
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
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]
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

