Infrared three-color passive ranging by colorimetric method

Yuan, 路远 Lu; Yun-song, 冯云松 Feng; Yong-shun, 凌永顺 Ling; Ya, 乔亚 Qiao

doi:10.3788/ope.20122012.2680

Cited by 3 publications

(1 citation statement)

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“…Infrared sensing technology, a passive detection system, has strong anti-interference ability and good concealment. It can measure distances and describe contours at night or bad weather conditions [27,28,29]. However, the detection distance is small and the light emitted by the system is easily disturbed by the external environment.…”

Section: Application Of Agricultural Uav Obstacle Avoidance Technomentioning

confidence: 99%

Applications and Prospects of Agricultural Unmanned Aerial Vehicle Obstacle Avoidance Technology in China

Wang

Lan

Zhang

et al. 2019

Sensors

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With the steady progress of China’s agricultural modernization, the demand for agricultural machinery for production is widely growing. Agricultural unmanned aerial vehicles (UAVs) are becoming a new force in the field of precision agricultural aviation in China. In those agricultural areas where ground-based machinery have difficulties in executing farming operations, agricultural UAVs have shown obvious advantages. With the development of precision agricultural aviation technology, one of the inevitable trends is to realize autonomous identification of obstacles and real-time obstacle avoidance (OA) for agricultural UAVs. However, the complex farmland environment and changing obstacles both increase the complexity of OA research. The objective of this paper is to introduce the development of agricultural UAV OA technology in China. It classifies the farmland obstacles in two ways and puts forward the OA zones and related avoidance tactics, which helps to improve the safety of aviation operations. This paper presents a comparative analysis of domestic applications of agricultural UAV OA technology, features, hotspot and future research directions. The agricultural UAV OA technology of China is still at an early development stage and many barriers still need to be overcome.

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Section: Application Of Agricultural Uav Obstacle Avoidance Technomentioning

confidence: 99%

Applications and Prospects of Agricultural Unmanned Aerial Vehicle Obstacle Avoidance Technology in China

Wang

Lan

Zhang

et al. 2019

Sensors

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A State-of-the-Art Analysis of Obstacle Avoidance Methods from the Perspective of an Agricultural Sprayer UAV’s Operation Scenario

et al. 2021

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Over the last decade, Unmanned Aerial Vehicles (UAVs), also known as drones, have been broadly utilized in various agricultural fields, such as crop management, crop monitoring, seed sowing, and pesticide spraying. Nonetheless, autonomy is still a crucial limitation faced by the Internet of Things (IoT) UAV systems, especially when used as sprayer UAVs, where data needs to be captured and preprocessed for robust real-time obstacle detection and collision avoidance. Moreover, because of the objective and operational difference between general UAVs and sprayer UAVs, not every obstacle detection and collision avoidance method will be sufficient for sprayer UAVs. In this regard, this article seeks to review the most relevant developments on all correlated branches of the obstacle avoidance scenarios for agricultural sprayer UAVs, including a UAV sprayer’s structural details. Furthermore, the most relevant open challenges for current UAV sprayer solutions are enumerated, thus paving the way for future researchers to define a roadmap for devising new-generation, affordable autonomous sprayer UAV solutions. Agricultural UAV sprayers require data-intensive algorithms for the processing of the images acquired, and expertise in the field of autonomous flight is usually needed. The present study concludes that UAV sprayers are still facing obstacle detection challenges due to their dynamic operating and loading conditions.

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Influence of background radiation on the precision of passive ranging

Zhang¹,

Liu²,

Yan³

et al. 2015

Acta Phys. Sin.

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Experimental program is designed to analyze the influence of background radiation on the accuracy of passive ranging based on oxygen spectral absorption; an acousto-optic tunable hyper spectral imaging spectrometer is used as the measuring device and a halogen light as the target. Firstly, the basic principles and experimental program of passive ranging technology based on oxygen absorption are introduced; then the halogen light spectral distribution at different distances during the night is collected using the acousto-optic tunable hyper spectral imaging spectrometer. Oxygen absorption rate is calculated and the relationship model between the oxygen absorption rate and the path is established according to the principle of oxygen spectrum absorption passive ranging. Then the oxygen absorption rate of the target is collected and calculated at the distance of 2360 m for different time. The measuring ranges during the day are solved by the model and the errors are analyzed, the influence of background radiation on the passive ranging is gained finally. Results show that according to the model, the maximum ranging error is 6.74% during the daytime, and the error becomes smaller with the elevation angle of the sun becoming smaller and the background darker. The results give 1.10% ranging error during the nighttime.

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Infrared three-color passive ranging by colorimetric method

Cited by 3 publications

References 0 publications

Applications and Prospects of Agricultural Unmanned Aerial Vehicle Obstacle Avoidance Technology in China

Applications and Prospects of Agricultural Unmanned Aerial Vehicle Obstacle Avoidance Technology in China

A State-of-the-Art Analysis of Obstacle Avoidance Methods from the Perspective of an Agricultural Sprayer UAV’s Operation Scenario

Influence of background radiation on the precision of passive ranging

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