Real-Time Calibration and Registration Method for Indoor Scene with Joint Depth and Color Camera

Zhang, Fengquan; Lei, Tingsheng; Li, Jinhong; Cai, Xingquan; Shao, Xuqiang; Chang, Jian; Tian, Feng

doi:10.1142/s0218001418540216

Cited by 13 publications

(5 citation statements)

References 33 publications

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“…The dynamic of ant society is adopted to solve optimization problems, especially within dynamic environments with increasing activities, numerous individuals, and many information feedbacks. Owing to the advantages of the ACO techniques, it is broadly used to solve several optimization problems, such as goods transportation problems, job-shop scheduling problems, and routing problems [87,88,89,90]. The ACO algorithm comprises various iterations.…”

Section: ) Hybrid Optimization Layermentioning

confidence: 99%

An Advanced System to Enhance and Optimize Delivery Operations in a Smart Logistics Environment

et al. 2022

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Optimization of order dispatch operations and delivery time prediction is a major concern in supply chains, mainly for e-commerce, which requires the implementation of advanced solutions to reduce delivery time, minimize costs and maximize customer satisfaction. In practice, they fail to warrant scalable and sustainable solutions as the numbers of orders become larger. For that, proper prediction and optimization for delivery operations are required for optimal logistics management. This paper presents an advanced logistics service, which warrants dynamic coordination among all the actors in the smart logistics environment. The proposed advanced shipping system consists of two main parts: the delivery prediction model to compute the expected arrival time, and a hybrid optimization model to tackle path issues. We demonstrate that the advanced system consistently outperforms conventional standard dispatching methods, which means that the proposed approach effectively contributes to optimizing the distribution chain and reducing costs.

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Section: ) Hybrid Optimization Layermentioning

confidence: 99%

An Advanced System to Enhance and Optimize Delivery Operations in a Smart Logistics Environment

et al. 2022

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“…Wang et al [61] proposed an adaptive parameter optimized VMD. The other signal decomposition methods have also been proposed in recent years [62][63][64][65][66][67][68][69][70][71][72][73][74][75][76].…”

Section: Vmdmentioning

confidence: 99%

Study on a Novel Fault Diagnosis Method Based on VMD and BLM

et al. 2019

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The bearing system of an alternating current (AC) motor is a nonlinear dynamics system. The working state of rolling bearings directly determines whether the machine is in reliable operation. Therefore, it is very meaningful to study the fault diagnosis and prediction of rolling bearings. In this paper, a new fault diagnosis method based on variational mode decomposition (VMD), Hilbert transform (HT), and broad learning model (BLM), called VHBLFD is proposed for rolling bearings. In the VHBLFD method, the VMD is used to decompose the vibration signals to obtain intrinsic mode functions (IMFs). The HT is used to process the IMFs to obtain Hilbert envelope spectra, which are transformed into the mapped features and the enhancement nodes of BLM according to the complexity of the modeling tasks, and the nonlinear transformation mean according to the characteristics of input data. The BLM is used to classify faults of the rolling bearings of the AC motor. Next, the pseudo-inverse operation is used to obtain the fault diagnosis results. Finally, the VHBLFD is validated by actual vibration data. The experiment results show that the BLM can quickly and accurately be trained. The VHBLFD method can achieve higher identification accuracy for multi-states of rolling bearings and takes on fast operation speed and strong generalization ability.

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“…This is pretty similar to the human way of memorizing a location and navigating by using visual and temporal features. Some conventional methods in this regard, either use RGB images along with a depth-assisted camera [ 3 , 10 , 18 , 40 , 42 , 43 ], or they employ SIFT-based algorithms [ 19 , 32 , 38 ]. In many realistic scenarios however, the depth-based camera or bluetooth or WiFi signals are not available [ 4 , 22 , 33 ], at all.…”

Section: Introductionmentioning

confidence: 99%

APS: A Large-Scale Multi-modal Indoor Camera Positioning System

Ghofrani

Toroghi

Tabatabaie³

2021

Pattern Recognition and Artificial Intelligence

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Navigation inside a closed area with no GPS-signal accessibility is a highly challenging task. In order to tackle this problem, recently the imaging-based methods have grabbed the attention of many researchers. These methods either extract the features (e.g. using SIFT, or SOSNet) and map the descriptive ones to the camera position and rotation information, or deploy an end-to-end system that directly estimates this information out of RGB images, similar to PoseNet. While the former methods suffer from heavy computational burden during the test process, the latter suffers from lack of accuracy and robustness against environmental changes and object movements. However, end-to-end systems are quite fast during the test and inference and are pretty qualified for real-world applications, even though their training phase could be longer than the former ones. In this paper, a novel multi-modal end-to-end system for large-scale indoor positioning has been proposed, namely APS (Alpha Positioning System), which integrates a Pix2Pix GAN network to reconstruct the point cloud pair of the input query image, with a deep CNN network in order to robustly estimate the position and rotation information of the camera. For this integration, the existing datasets have the shortcoming of paired RGB/point cloud images for indoor environments. Therefore, we created a new dataset to handle this situation. By implementing the proposed APS system, we could achieve a highly accurate camera positioning with a precision level of less than a centimeter.

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Real-Time Calibration and Registration Method for Indoor Scene with Joint Depth and Color Camera

Cited by 13 publications

References 33 publications

An Advanced System to Enhance and Optimize Delivery Operations in a Smart Logistics Environment

An Advanced System to Enhance and Optimize Delivery Operations in a Smart Logistics Environment

Study on a Novel Fault Diagnosis Method Based on VMD and BLM

APS: A Large-Scale Multi-modal Indoor Camera Positioning System

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