A Visual Navigation System for UAV under Diverse Illumination Conditions

Hai, Jiang; Hao, Yutong; Zou, Fengzhu; Lin, Fang Cheng; Han, Songchen

doi:10.1080/08839514.2021.1985799

Cited by 18 publications

(7 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Most importantly, FF-TMR assisted by a protein-surface environment in a bioconjugate exhibits reversible and fast photoswitching performance in contrast to FF-TMR itself in an aqueous solution. The biological application of hydrophobic fluorophores (e.g., cyanine 32 ) and photochromic chromophores (e.g., diarylethene 4,5 and spiropyran 6,7 ) has been limited owing to their aggregation, which leads to poor photostability in an aqueous solution. The protein-surface-assisted strategy is a potential platform for future PSFM development to address this problem.…”

Section: ■ Conclusionmentioning

confidence: 99%

“…2 Owing to the large molecular weight and poor aqueous solubility of PSFMs that may lead to hydrophobic aggregation, however, many synthetic PSFMs exhibit low photostability. 2−7 Molecular aggregations of PSFMs lead to nonspecific background signal increase, 3 photodegradation, 4,5 and fluorescence quenching, 6,7 which are significant disadvantages for bioimaging. Therefore, synthetic PSFMs must be designed for persistent reversible fluorescent photoswitching in a specific intracellular localization.…”

Section: ■ Introductionmentioning

confidence: 99%

“…As mentioned above, PSFMs using synthetic chromophores are widely developed; however, the majority of them have a large and hydrophobic molecular structure that may result in hydrophobic molecular aggregations exhibiting low photostability in a biological medium. More recently, diarylethene included by cucurbit [7]uril was reported to improve photostability compared to free diarylethene in an aqueous solution. 18 However, those supramolecular complexes have a sterically crowded structure, and they require longer linker lengths to conjugate with other biomolecules.…”

Section: ■ Introductionmentioning

confidence: 99%

“…Other than photoswitchable rhodamine spirolactam derivatives that realize spontaneous blinking, 15,16 there are few examples in which livecell super-resolution fluorescence imaging has been achieved using additive-free and reversible PSFMs. 7 In recent years, PSFMs based on synthetic photochromic chromophores (e.g., diarylethene, 4,5 spiropyran, 6,7 and arylazopyrazole 17 ) have been reported. Photochromic chromophores are an attractive choice for developing PSFMs as they enable fluorescence switching by modulating chemical and/or physical properties according to their photochromic reactions.…”

Section: ■ Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Persistent Fluorescence Switching of a Probe Using a Photochromic Quencher with High Photostability Assisted by Protein-Surface Modification

2023

View full text Add to dashboard Cite

Photoswitchable fluorescent molecules (PSFMs) are widely applicable in the life sciences for super-resolution imaging. Owing to the large and hydrophobic molecular structures of PSFMs that may aggregate in a biological medium, the development of synthetic PSFMs with persistent reversible photoswitching is challenging. Here, we established a protein-surface-assisted photoswitching strategy that allows for persistent reversible fluorescence photoswitching of a PSFM in an aqueous solution. As a first step, we applied the photochromic chromophore furylfulgimide (FF) as a photoswitchable fluorescence quencher and developed a Förster resonance energy transfer-based PSFM, named FF-TMR. Most importantly, the protein-surface modification strategy allows FF-TMR to exhibit persistent reversible photoswitching performance in an aqueous solution. In fixed cells, the fluorescence intensity of FF-TMR bound to antitubulin antibody was repetitively modulated. The protein-surface-assisted photoswitching strategy will be a useful platform to broaden the utility of functionalized synthetic chromophores enabling persistent fluorescence switching that inherits their high resistance to light irradiation.

show abstract

Section: ■ Conclusionmentioning

confidence: 99%

Section: ■ Introductionmentioning

confidence: 99%

Section: ■ Introductionmentioning

confidence: 99%

Section: ■ Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Persistent Fluorescence Switching of a Probe Using a Photochromic Quencher with High Photostability Assisted by Protein-Surface Modification

2023

View full text Add to dashboard Cite

show abstract

“…Traditional satellite navigation and positioning methods rely on external satellite signals that are susceptible to environmental and enemy interference. This particularly affects low-altitude UAVs, as satellite signals are easily blocked by high-rise buildings and cannot provide accurate positioning information [7][8][9][10][11]. The inertial navigation system experiences obvious data drift during longer working periods and cannot provide accurate positioning information for extended periods of time.…”

Section: Introductionmentioning

confidence: 99%

PSiamRML: Target Recognition and Matching Integrated Localization Algorithm Based on Pseudo-Siamese Network

Fan,

Yang,

et al. 2023

International Journal of Aerospace Engineering

View full text Add to dashboard Cite

The positioning function of unmanned aerial vehicles (UAVs) is a challenging and fundamental research topic and is the premise for UAVs to realize autonomous navigation. The disappearance of satellite signals makes it challenging to achieve accurate positioning. Thus, visual positioning algorithms based on computer vision have been proposed in recent years and these algorithms have produced good results. However, these algorithms have relatively simple functions and cannot perceive the environment. Their versatility is poor, and mismatching often occurs, which affects the positioning accuracy. Aiming to address the need for integrated target recognition, target matching, and positioning of UAVs, we propose an algorithm that integrates the target recognition, matching, and positioning functions by combining the single-shot multibox detector (SSD) algorithm with the deep feature matching algorithm. This algorithm is based on the idea of pseudo-Siamese networks and the SSD algorithm, introducing a deep feature matching method to directly calculate the correspondence between two images. The main idea is to use the VGG network trained by the SSD target recognition algorithm to extract deep features, without any special training for feature matching. Finally, by sharing neural network weights, the integrated design of target recognition and image-matching localization algorithms is achieved. Mismatches between the real-time and reference images are addressed by introducing the grid-based motion statistics algorithm to optimize the matching result and improve the correct matching efficiency of the target. The University-Release dataset was used to compare and analyze the performance of the proposed algorithm to verify its superiority and feasibility. The results show that the matching accuracy of the PSiamRML algorithm is generally good and that it significantly compensates for changes in the contrast, scale, brightness, blur, deformation, and so on, apart from improving the stability and robustness. Finally, a matching test scenario with aerial images captured by an S1000 six-rotor UAV served to verify the effectiveness and practicability of the PSiamRML algorithm.

show abstract

Research Progress of Assisted Pollination Technology

Zhang,

et al. 2024

Smart Agriculture

View full text Add to dashboard Cite

A Visual Navigation System for UAV under Diverse Illumination Conditions

Cited by 18 publications

References 28 publications

Persistent Fluorescence Switching of a Probe Using a Photochromic Quencher with High Photostability Assisted by Protein-Surface Modification

Persistent Fluorescence Switching of a Probe Using a Photochromic Quencher with High Photostability Assisted by Protein-Surface Modification

PSiamRML: Target Recognition and Matching Integrated Localization Algorithm Based on Pseudo-Siamese Network

Research Progress of Assisted Pollination Technology

Contact Info

Product

Resources

About