Qualitative Spatial Reasoning with Oriented Point Relation in 3D Space

Wang, Shengsheng; Dong, Ruyi; Song, Wenzhuo; Wang, Chuangfeng

doi:10.1049/cje.2018.06.011

Cited by 4 publications

(3 citation statements)

References 2 publications

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“…In recent years, many models for representing and reasoning with direction relations in 3D space have been proposed in [29], [30], [31], [32]. But these models are complicated in calculation and poor in reasoning, which cannot meet the demand of real applications.…”

Section: A the Model Of Three-dimensional Cardinal Direction Relationmentioning

confidence: 99%

Block Algebra-Based Consistency Checking With Cardinal Direction Relations in 3D Space

Wang,

Li,

Fang

et al. 2023

IEEE Access

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Section: A the Model Of Three-dimensional Cardinal Direction Relationmentioning

confidence: 99%

Block Algebra-Based Consistency Checking With Cardinal Direction Relations in 3D Space

Wang,

Li,

Fang

et al. 2023

IEEE Access

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“…For the fields of current Unmanned aerial vehicle (UAV), 3D printing, robotics, virtual reality helmet, smart phones, smart home, face recognition for paying, intelligent monitoring and others [ 1–9 ] , the challenges, such as environmental perception, man‐machine natural interaction, obstacle avoidance, 3D scanning, accurate identification, three‐dimensional need to be solved for their more research and development. While the depth perception technology which is the generic key technology help to solve these problems.…”

Section: Introductionmentioning

confidence: 99%

VLSI Design for High‐Precision Three‐Dimensional Depth Perception Chip

Yao

Zhou

et al. 2021

Chinese J of Electronics

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This paper presents a Very large scale integration (VLSI) design method for Three‐dimensional (3D) depth perception chip based on infrared coding structure light. The primary sub‐modules on the chip contain the speckle pattern preprocessing module, block‐matching disparity estimation, depth mapping and post‐processing. The chip employs pipelining technology, and after Application specific integrated circuit (ASIC) verification, it proves that our chip has more advantages in performance of depth precision (12bits, 1mm @ 1m), image resolution (1280×960), time delay (less than 17ms), range limit (0.4~6m). It also can generate more stable and smooth depth map in real‐time, which can be used in 3D recognition, motion capture or scene perception.

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“…In 2016, Hou et al [18] extended the convex tractable subalgebra into 3D space and used the BCD algorithm to calculate it. In 2019, Wang et al [19] extended the oriented point relation algebra (OPRAm) model to 3D and proposed oriented point relation algebra in three-dimensional (OPRA3Dm) algorithm, which has certain practical significance. ese two papers consider the direction relationship.…”

Section: Introductionmentioning

confidence: 99%

Representation and Reasoning of Three-Dimensional Spatial Relationships Based on R5DOS-Intersection Model Representation and Reasoning Based on R5DOS Model

Zhang

Hu³

et al. 2020

Complexity

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This paper aims to disclose the compound topological and directional relationships of three simple regions in the three-dimensional (3D) space. For this purpose, the directional model and the 8-intersection model were coupled into an R5DOS-intersection model and used to represent three simple regions in the 3D space. The matrices represented by the model were found to be complete and mutually exclusive. Then, a self-designed algorithm was adopted to solve the model, yielding 11,038 achievable topological and directional relationships. Compared with the minimum bounding rectangle (MBR) model, the proposed model boasts strong expressive power. Finally, our model was applied to derive the topological and directional relationships between simple regions A and C from the known relationships between simple regions A and B and those between B and C. Based on the results, a compound relationship reasoning table was established for A and C. The research results shed new light on the representation and reasoning of 3D spatial relationships.

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Qualitative Spatial Reasoning with Oriented Point Relation in 3D Space

Cited by 4 publications

References 2 publications

Block Algebra-Based Consistency Checking With Cardinal Direction Relations in 3D Space

Block Algebra-Based Consistency Checking With Cardinal Direction Relations in 3D Space

VLSI Design for High‐Precision Three‐Dimensional Depth Perception Chip

Representation and Reasoning of Three-Dimensional Spatial Relationships Based on R5DOS-Intersection Model Representation and Reasoning Based on R5DOS Model

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