This paper addresses the challenge of improving learning-based monocular visual odometry (VO) in underwater environments by integrating principles of underwater optical imaging to manipulate optical flow estimation. L...
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ISBN:
(纸本)9798350351439;9798350351422
This paper addresses the challenge of improving learning-based monocular visual odometry (VO) in underwater environments by integrating principles of underwater optical imaging to manipulate optical flow estimation. Leveraging the inherent properties of underwater imaging, the novel wflow-TartanVO is introduced, enhancing the accuracy of VO systems for autonomous underwater vehicles (AUVs). The proposed method utilizes a normalized medium transmission map as a weight map to adjust the estimated optical flow for emphasizing regions with lower degradation and suppressing uncertain regions affected by underwater light scattering and absorption. wflow-TartanVO does not require fine-tuning of pre-trained VO models, thus promoting its adaptability to different environments and camera models. Evaluation of different real-world underwater datasets demonstrates the outperformance of wflow-TartanVO over baseline VO methods, as evidenced by the considerably reduced Absolute Trajectory Error (ATE). The implementation code is available at: https://***/bachzz/wflow-TartanVO
Holography is pivotal in various applications ranging from microscopy to data storage. However, the practical implementation of holography often necessitates compression, which inevitably degrades the quality of the r...
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Hyperspectral imaging provides important information about the composition of materials as a function of wavelength, which is useful for various computer vision tasks. Currently, to acquire hyperspectral images, sever...
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ISBN:
(纸本)9789464593617;9798331519773
Hyperspectral imaging provides important information about the composition of materials as a function of wavelength, which is useful for various computer vision tasks. Currently, to acquire hyperspectral images, several optical computational architectures have been developed in search of the best results in tasks such as reconstruction. However, the quality of the reconstruction of the acquired hyperspectral information is directly affected by perturbations and misalignments of the optical sensing system that are usually not considered in the system modeling. For the reconstruction of hyperspectral images, correcting the misalignment between the simulated and implemented optical systems is necessary since the acquired data, because of this phenomenon, greatly lowers their quality. Therefore, this work presents a model that predicts the behavior of the system in real scenarios and a regularized projector to match the expected measurements required by the reconstruction step. The performance of the proposed method is tested using a phase-encoded spectral imaging system on simulations and testbed implementation, with overall better results compared to the traditional method of reconstructing real hyperspectral data from the laboratory, obtaining an improvement of 4.79 [dB] compared to state-of-the-art methods.
The continuous increase in operating frequencies in informationprocessing and transmission systems, as well as the development and improvement of the element base for the implementation of such systems, naturally led...
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Effective implementation of laser material processing involves achieving a predetermined distribution of power density of laser beams in selected areas on the surface of the processed material. This study explores the...
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Moving Target Detection(MTD) technology, as an effective means of suppressing clutter in radar signal processing, has been widely applied to various types of radars. In the development of traditional radar signal proc...
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This paper analyzes the traditional implementation methods of online analytical processing (OLAP), and on this basis, puts forward the implementation scheme of the subject-oriented database based OLAP (SOLAP), and giv...
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Continuous-variable quantum key distribution (CV-QKD) can extract secret keys in an efficient and practical manner using off-the-shelf telecommunication equipment. This sets CV-QKD as a key technology for implementati...
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ISBN:
(纸本)9798350377330;9798350377323
Continuous-variable quantum key distribution (CV-QKD) can extract secret keys in an efficient and practical manner using off-the-shelf telecommunication equipment. This sets CV-QKD as a key technology for implementation in optical fiber networks already deployed in the field. Notwithstanding, the extraction of secret keys in CV-QKD requires the exchange of information, not only on a quantum channel, but also on an authenticated and public classical channel. The classical channel is required to exchange part of the coherent states to aid with the parameter estimation step to conclude on the secrecy of the extracted key, and to exchange side information essential to the reconciliation step. Here, we study the bandwidth demand of the information exchanged in the classical channel and how it can impact the extraction key rate of a CV-QKD system. The post-processing step consuming the highest bandwidth of the classical channel is the reconciliation step, due to the exchange of the side information. We consider different dimensions for the multidimensional reconciliation demanding different bandwidths on the classical channel and compute the allowed extraction key rate depending on the performance of the method, in terms of frame error
Current optical convolution architectures face challenges like limited scalability, data redundancy, and restricted processing bandwidth. We demonstrate an optical frequency-flow convolution (OFFC) core utilizing high...
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This paper presents a practical approach for processing AIS signals after RF direct acquisition in the ship automatic identification system. The method involves shifting the signals of the two AIS frequencies to baseb...
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