Review on Panoramic Imaging and Its Applications in Scene Understanding

Gao, Shaohua; Yang, Kailun; Shi, Hao; Wang, Kaiwei; Bai, Jian Yu

doi:10.1109/tim.2022.3216675

Cited by 53 publications

(15 citation statements)

References 350 publications

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“…Based on bionics technology, panoramic cameras work by using the spherical mirror transmission and reflection of physical optics for imaging. By rotating the camera, the photographic field can be scanned at a large angle, and the panoramic range can be achieved by stitching technology, which is enough to reach 360 • [44]. The remarkable feature of panoramic cameras is that they can capture a large amount of the surrounding crop structure information in a single image, making them more suitable for large-scale farmland monitoring [45].…”

Section: Panorama Camerasmentioning

confidence: 99%

Row Detection BASED Navigation and Guidance for Agricultural Robots and Autonomous Vehicles in Row-Crop Fields: Methods and Applications

et al. 2023

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Crop row detection is one of the foundational and pivotal technologies of agricultural robots and autonomous vehicles for navigation, guidance, path planning, and automated farming in row crop fields. However, due to a complex and dynamic agricultural environment, crop row detection remains a challenging task. The surrounding background, such as weeds, trees, and stones, can interfere with crop appearance and increase the difficulty of detection. The detection accuracy of crop rows is also impacted by different growth stages, environmental conditions, curves, and occlusion. Therefore, appropriate sensors and multiple adaptable models are required to achieve high-precision crop row detection. This paper presents a comprehensive review of the methods and applications related to crop row detection for agricultural machinery navigation. Particular attention has been paid to the sensors and systems used for crop row detection to improve their perception and detection capabilities. The advantages and disadvantages of current mainstream crop row detection methods, including various traditional methods and deep learning frameworks, are also discussed and summarized. Additionally, the applications for different crop row detection tasks, including irrigation, harvesting, weeding, and spraying, in various agricultural scenarios, such as dryland, the paddy field, orchard, and greenhouse, are reported.

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Section: Panorama Camerasmentioning

confidence: 99%

Row Detection BASED Navigation and Guidance for Agricultural Robots and Autonomous Vehicles in Row-Crop Fields: Methods and Applications

et al. 2023

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“…4, since it is the maximum FoV of the front channel, A is a point on the lateral diameter of the front lens, so its y-axis coordinate can be written as Eq. (1).…”

Section: Calculation Principle Of the Optical Paths Of The Gazing Pan...mentioning

confidence: 99%

“…Additionally, PALs offer more expansive fields of view (FoV), higher resolution, and less distortion at the marginal FoV. Due to the above advantages, it has great potential in the future development, [1][2][3][4][5][6] especially in the multidimensional information perception field. The existing panoramic stereo imaging system usually has a large and irregular mirror in the front, whose irregular surface is too complex and expensive to manufacture and it demands very strict assembly accuracy.…”

Section: Introductionmentioning

confidence: 99%

Design of a single-sensor gazing panoramic stereo imaging system with no central blind area

Pan,

Gao,

Bai

2023

Optical Design and Testing XIII

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We propose a single-sensor gazing panoramic stereo imaging system with no central blind area based on polarization technology. This solution addresses the issue of traditional stereo panoramic systems, which often feature large and complex mirrors in front to reflect light. Drawing inspiration from the traditional dual-channel structure, we apply polarization technology to the first reflective surface, creating a third channel for stereo vision. Our system demonstrates a promising approach to achieving stereo vision without the need for additional complex structures on the original basis.

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“…In an imaging instrument, having a wide-FOV (WFOV) allows capturing the surrounding scene in a single frame without image stitching or mechanical scanning. Therefore, WFOV imaging optics are extensively applied in photography, microscopy, biomedical diagnosis, navigation and control, three-dimensional (3D) sensing, security surveillance, and beyond 1 . Optical reciprocity stipulates that WFOV systems can also be used for light or image projection, a much sought-after feature enabling wide-angle beam steering and immersive displays for augmented/virtual reality (AR/VR) devices, automotive sensors, gaming simulators, and movie theaters.…”

Section: Introductionmentioning

confidence: 99%

Wide field-of-view metalens: a tutorial

Shalaginov

Lin

et al. 2023

Adv. Photon.

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.Wide field-of-view (FOV) optics are essential components in many optical systems, with applications spanning imaging, display, sensing, and beam steering. Conventional refractive wide FOV optics often involve multiple stacked lenses, resulting in large size and weight as well as high cost. Metasurface lenses or metalenses promise a viable solution to realizing wide FOV optics without complex lens assembly. We review the various architectures of wide FOV metalenses, elucidate their fundamental operating principles and design trade-offs, and quantitatively evaluate and contrast their imaging performances. Emerging applications enabled by wide FOV metasurface optics are also discussed.

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Review on Panoramic Imaging and Its Applications in Scene Understanding

Cited by 53 publications

References 350 publications

Row Detection BASED Navigation and Guidance for Agricultural Robots and Autonomous Vehicles in Row-Crop Fields: Methods and Applications

Row Detection BASED Navigation and Guidance for Agricultural Robots and Autonomous Vehicles in Row-Crop Fields: Methods and Applications

Design of a single-sensor gazing panoramic stereo imaging system with no central blind area

Wide field-of-view metalens: a tutorial

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