GPS Alignment from Multiple Sources to Extract Aircraft Bearing in Aerial Surveys
Methodical aerial population surveys monitoring critically endangered species in Canadian North Atlantic waters are instrumental in influencing government policies both in economic and conservational efforts. The primary factor hindering the success of these missions is poor visibility caused by glare. This paper builds off our foundational paper [1] and pushes the envelope toward a data-driven glare modelling system. Said data-driven system makes use of meteorological and astronomical data to assist aircraft in navigating in order to mitigate acquisition errors and optimize the quality of acquired data. It is found that reliably extracting aircraft orientation is critical to our approach, to that end, we present a GPS alignment methodology which makes use of the fusion of two GPS signals. Using the complementary strengths and weaknesses of these two signals a synthetic interpolation of fused data is used to generate more reliable flight tracks, substantially improving glare modelling. This methodology could be applied to any other applications with similar signal restrictions.
Code (0)
등록된 구현이 없습니다.
Methods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
Ball Mill Fault Prediction Based on Deep Convolutional Auto-Encoding Network
Ball mills play a critical role in modern mining operations, making their bearing failures a significant concern due to the potential loss of production efficiency and economic consequences. This paper presents an anomal…
Anomaly DetectionFault DetectionThree-dimensional instantaneous orbit map for rotor-bearing system based on a novel multivariate complex variational mode decomposition algorithm
Full spectrum and holospectrum are homogenous information fusion technology developed for the fault diagnosis of rotating machinery, which is extensively exploited in the analysis of the orbits of rotor-bearing systems. …
Fault DiagnosisExtractive and Abstractive Sentence Labelling of Sentiment-bearing Topics
This paper tackles the problem of automatically labelling sentiment-bearing topics with descriptive sentence labels. We propose two approaches to the problem, one extractive and the other abstractive. Both approaches rel…
DescriptiveSentenceSentence FusionEmoWorld: A Decoupled Affective Field for Controllable Emotional Video Generation
Emotion shapes how viewers interpret a scene, yet existing video generators entangle global atmosphere, affect-bearing semantic cues, and temporal progression within a single text condition. We present EmoWorld, a framew…
Video GenerationA class alignment method based on graph convolution neural network for bearing fault diagnosis in presence of missing data and changing working conditions
Bearing fault diagnosis in real-world applications has challenges such as insufficient labeled data, changing working conditions of the rotary machinery, and missing data due to multi-rate sampling of sensors. Despite th…
Domain AdaptationFault Diagnosis