Investigation on a System for Positioning of Industrial Robots Based on Ultra-Broadband Millimeter Wave FMCW Radar

Delden, Marcel van; Guzy, Christopher; Musch, Thomas

doi:10.1109/apmc46564.2019.9038866

Cited by 5 publications

(5 citation statements)

References 10 publications

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“…Parallel Radars can also be widely applied in traditional industries, such as architectural design [3], observation [4][5][6][7], industrial robots [8], and heating, ventilation, and air condition (HVAC) control [9,10]. In the field of architectural design, Parallel Radars are helpful in the 3D modeling and analysis of architectures with the consideration of human factors.…”

Section: Traditional Industrymentioning

confidence: 99%

See 1 more Smart Citation

Parallel Radars: From Digital Twins to Digital Intelligence for Smart Radar Systems

Liu

Shen

Fan

et al. 2022

Sensors

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Radar is widely employed in many applications, especially in autonomous driving. At present, radars are only designed as simple data collectors, and they are unable to meet new requirements for real-time and intelligent information processing as environmental complexity increases. It is inevitable that smart radar systems will need to be developed to deal with these challenges and digital twins in cyber-physical systems (CPS) have proven to be effective tools in many aspects. However, human involvement is closely related to radar technology and plays an important role in the operation and management of radars; thus, digital twins’ radars in CPS are insufficient to realize smart radar systems due to the inadequate consideration of human factors. ACP-based parallel intelligence in cyber-physical-social systems (CPSS) is used to construct a novel framework for smart radars, called Parallel Radars. A Parallel Radar consists of three main parts: a Descriptive Radar for constructing artificial radar systems in cyberspace, a Predictive Radar for conducting computational experiments with artificial systems, and a Prescriptive Radar for providing prescriptive control to both physical and artificial radars to complete parallel execution. To connect silos of data and protect data privacy, federated radars are proposed. Additionally, taking mines as an example, the application of Parallel Radars in autonomous driving is discussed in detail, and various experiments have been conducted to demonstrate the effectiveness of Parallel Radars.

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Section: Traditional Industrymentioning

confidence: 99%

“…A radar is a kind of active sensor that plays an increasingly important role in many fields, such as national defense [1,2], traditional industry [3][4][5][6][7][8][9][10], and autonomous driving [11,12]. Current radars collect data using electromagnetic waves to acquire threedimensional information about their surroundings.…”

Section: Introductionmentioning

confidence: 99%

Parallel Radars: From Digital Twins to Digital Intelligence for Smart Radar Systems

Liu

Shen

Fan

et al. 2022

Sensors

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“…(5) We used the same data as the existing FFT Max Index-based distance estimation scheme and applied it to this scheme, which resulted in an average error of 2.5317 m. As shown in Figure 6 and Table 1, the estimated average error of distance up to 4 m is 0.316 m, but it can be confirmed that the error rate becomes very severe as the distance increases. Beat frequencies are low in frequency, so they are environmentally sensitive, and due to various factors that can occur indoors, such as the environment and the effects of obstacles, there are severe errors [8][9][10][11][12]. To address the limitations of existing techniques for estimating distances with FMCW Radar, we propose a distance estimation scheme with deep learning techniques in Section 3.…”

Section: Conventional Schemementioning

confidence: 99%

“…We propose a distance estimation scheme for indoor positioning system utilizing FMCW Radar with 24 GHz. Various indoor positioning schemes with FMCW radar have been introduced with various frequencies, which require hardware to be calibrated for increasing distance estimation accuracy [9,10]. On the other hand, this paper proposes a scheme for improving distance estimation accuracy with software rather than hardware.…”

Section: Introductionmentioning

confidence: 99%

Deep Learning-Based Indoor Distance Estimation Scheme Using FMCW Radar

Park¹,

Lee²,

Kim³

2021

Information

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In the distance estimation scheme using Frequency-Modulated-Continuous-Wave (FMCW) radar, the frequency difference, which was caused by the time delay of the received signal reflected from the target, is calculated to estimate the distance information of the target. In this paper, we propose a distance estimation scheme exploiting the deep learning technology of artificial neural network to improve the accuracy of distance estimation over the conventional Fast Fourier Transform (FFT) Max value index-based distance estimation scheme. The performance of the proposed scheme is compared with that of the conventional scheme through the experiments evaluating the accuracy of distance estimation. The average estimated distance error of the proposed scheme was 0.069 m, while that of the conventional scheme was 1.9 m.

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“…Compared to the other collision avoidance techniques, millimeter-wave radar sensors-based systems are a good match to the industrial applications. The reason for this is the presence of aggressive particles and vapor that degrades the optical-based collision avoidance system in the industrial environments [17]. Within the scope of a funded project by BMBF [18], a smart approach is implemented based on using multiple millimeterwave radar sensors.…”

Section: Introductionmentioning

confidence: 99%

soc-approach for Safety-oriented Multi-channel Communication in Industrial Application of Human-robot-collaboration (HRC)

Abdelawwad

Schwarz

Drabesch

et al. 2020

International Journal of Computers

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The importance of human-robot collaboration systems in industrial applications has increased due to the orientation towards the smart factory approach. To ensure the safety of such systems, collision avoidance techniques based on millimeter-wave radar sensors are used. Safe communication between the robot and the radar sensor is ensured by using the safety system on a chip based on 1oo2D architecture. The design and prototyping of a multi-channel communication FPGA-based development board is presented. Furthermore, the FPGA implementation of SoC with multiple Ethernet MAC interfaces based on various soft cores is demonstrated.

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Investigation on a System for Positioning of Industrial Robots Based on Ultra-Broadband Millimeter Wave FMCW Radar

Cited by 5 publications

References 10 publications

Parallel Radars: From Digital Twins to Digital Intelligence for Smart Radar Systems

Parallel Radars: From Digital Twins to Digital Intelligence for Smart Radar Systems

Deep Learning-Based Indoor Distance Estimation Scheme Using FMCW Radar

soc-approach for Safety-oriented Multi-channel Communication in Industrial Application of Human-robot-collaboration (HRC)

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