Results 21 to 30 of about 146,440 (158)
Rapidly obtaining accurate dense disparity maps has been the focus of stereo matching research. At present, approaches that achieve superior disparity maps require a large amount of computation, which is not suitable for practical applications.
Shan Yang +3 more
doaj +1 more source
Microseismic noise suppression is widely used in the exploration of unconventional oil and gas resources. The effective microseismic downhole signals have extremely weak energy and are contaminated by strong interference, making data processing and ...
Li Han, Dongyan Wang, Pengjun Yu
doaj +1 more source
Interest point detection plays an important role in many computer vision applications. This work is motivated by the light detection and ranging odometry task in autonomous driving.
Deyu Yin +8 more
doaj +1 more source
Absolute localisation in confined spaces using deep geometric features
When operating in dark and confined spaces, the capacity of the robots to localise in an absolute reference frame is of utmost importance. This letter presents an absolute localisation system, using deep 3D landmarks, for known confined spaces.
Rune Y. Brogaard +2 more
doaj +1 more source
Adaptive frequency-domain filtering for neural signal preprocessing
Electrical interference from various sources is a common issue for experimental extracellular electrophysiology recordings collected using multi-electrode array neural recording systems.
Esther Bedoyan +4 more
doaj +1 more source
Recursive fusion estimation for mobile robot localization under multiple energy harvesting sensors
This paper is concerned with the recursive fusion estimation‐based mobile robot localization (RL) problem by employing multiple energy harvesting sensors (EHSs).
Yanyang Lu, Hamid Reza Karimi
doaj +1 more source
Intelligent anti‐epidemic mask based on KF and ECF fusion algorithm
In response to environmental pollution and the spread of Coronavirus Disease 2019 (COVID‐19), this paper proposes a new type of smart mask design, and specifically proposes an optimized double closed‐loop control method, especially an improved filtering ...
Kun Xia +5 more
doaj +1 more source
Applying a proven filtering method to adjust the training sample of neural networks [PDF]
The article notes the complexity and duration of the process of forming a training sample of a neural network, since the correctness of the sample is checked by assessing the quality of the network after its training, it also notes the negative impact of
Zhigalov Vladimir
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A two‐stage method for bus passenger load prediction using automatic passenger counting data
In high‐frequency transit, providing real‐time crowding information (RTCI) is a potential way to promote passenger satisfaction and reduce negative crowding externalities, by assisting passengers in choosing less crowded vehicles. To make RTCI convincing
Pengfei Wang +4 more
doaj +1 more source
Filtering Biomechanical Signals in Movement Analysis
Biomechanical analysis of human movement is based on dynamic measurements of reference points on the subject’s body and orientation measurements of body segments. Collected data include positions’ measurement, in a three-dimensional space.
Francesco Crenna +2 more
doaj +1 more source

