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Journal articles on the topic 'Sensor calibration and synchronization'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

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1

Wang, Chuan, Shijie Liu, Xiaoyan Wang, and Xiaowei Lan. "Time Synchronization and Space Registration of Roadside LiDAR and Camera." Electronics 12, no. 3 (2023): 537. http://dx.doi.org/10.3390/electronics12030537.

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The sensing system consisting of Light Detection and Ranging (LiDAR) and a camera provides complementary information about the surrounding environment. To take full advantage of multi-source data provided by different sensors, an accurate fusion of multi-source sensor information is needed. Time synchronization and space registration are the key technologies that affect the fusion accuracy of multi-source sensors. Due to the difference in data acquisition frequency and deviation in startup time between LiDAR and the camera, asynchronous data acquisition between LiDAR and camera is easy to occu

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Song, Shiping, Changqing Dong, Kongjian Qin, et al. "Research on Time Synchronization and Spatial Calibration Algorithms of Radar and Camera." Journal of Physics: Conference Series 2428, no. 1 (2023): 012044. http://dx.doi.org/10.1088/1742-6596/2428/1/012044.

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Abstract The intelligent connected vehicle can detect 360° full coverage around the vehicle by installing multiple radars and cameras. However, the sampling frequency of each sensor is different and each sensor outputs the target motion state information based on its coordinate system. the accurate and rapid realization of time synchronization and spatial position alignment between sensors is very important for multi-sensor data fusion. This paper presents a method of radar and camera time synchronization based on least squares cubic spline curve fitting. Based on time synchronization, a fast

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Zhao, Shuang, Jun Liu, and Yansong Li. "Online Calibration Method for Current Sensors Based on GPS." Energies 12, no. 10 (2019): 1923. http://dx.doi.org/10.3390/en12101923.

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At present, most sensor calibration methods are off-line calibration, which not only makes them time-consuming and laborious, but also causes considerable economic losses. Therefore, in this study, an online calibration method of current sensors is proposed to address the abovementioned issues. The principle and framework of online calibration are introduced. One of the calibration indexes is angular difference. In order to accurately verify it, data acquisition must be precisely synchronized. Therefore, a precise synchronous acquisition system based on GPS timing is proposed. The influence of

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Liu, Qiyue, Tao Yu, and Hailiang Gao. "Radiometric Cross-Calibration of GF-1 PMS Sensor with a New BRDF Model." Remote Sensing 11, no. 6 (2019): 707. http://dx.doi.org/10.3390/rs11060707.

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On-orbit radiometric calibration of a space-borne sensor is of great importance for quantitative remote sensing applications. Cross-calibration is a common method with high calibration accuracy, and the core and emphasis of this method is to select the appropriate reference satellite sensor. As for the cross-calibration of high-spatial resolution and narrow-swath sensor, however, there are some scientific issues, such as large observation angles of reference image, and non-synchronization (or quasi-synchronization) between the imaging date of reference image and the date of sensor to be calibr

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Thalmann, Tomas, and Hans Neuner. "Temporal calibration and synchronization of robotic total stations for kinematic multi-sensor-systems." Journal of Applied Geodesy 15, no. 1 (2021): 13–30. http://dx.doi.org/10.1515/jag-2019-0070.

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AbstractDespite the increasing interest in kinematic data acquisition, Robotic Total Stations (RTSs) are still relatively seldom used. No matter if Mobile Mapping Systems or Control & Guidance, GNSS is mostly used as position sensor, which limits the application to outdoor areas. For indoor applications, a combination of relative sensors is usually employed. One reason why RTSs are not used is the challenging time referencing and synchronization. In this work we analyze the challenges of a synchronized kinematic application of RTSs and present solutions.Our approach is based on a wireless

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Tan, Ziyi, Xu Yang, Mingzhi Pang, Shouwan Gao, Ming Li, and Pengpeng Chen. "UAV-Assisted Low-Consumption Time Synchronization Utilizing Cross-Technology Communication." Sensors 20, no. 18 (2020): 5134. http://dx.doi.org/10.3390/s20185134.

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Wireless sensor networks (WSNs) have been used in many fields due to its wide applicability. In this kind of network, each node is independent of each other and has its own local clock and communicates wirelessly. Time synchronization plays a vital role in WSNs and it can ensure accuracy requirements for coordination and data reliability. However, two key challenges exist in large-scale WSNs that are severe resource constraints overhead and multihop time synchronization errors. To address these issues, this paper proposes a novel unmanned aerial vehicle (UAV)-assisted low-consumption time sync

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Gu, Junyi, Artjom Lind, Tek Raj Chhetri, Mauro Bellone, and Raivo Sell. "End-to-End Multimodal Sensor Dataset Collection Framework for Autonomous Vehicles." Sensors 23, no. 15 (2023): 6783. http://dx.doi.org/10.3390/s23156783.

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Autonomous driving vehicles rely on sensors for the robust perception of their surroundings. Such vehicles are equipped with multiple perceptive sensors with a high level of redundancy to ensure safety and reliability in any driving condition. However, multi-sensor, such as camera, LiDAR, and radar systems raise requirements related to sensor calibration and synchronization, which are the fundamental blocks of any autonomous system. On the other hand, sensor fusion and integration have become important aspects of autonomous driving research and directly determine the efficiency and accuracy of

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Yang, Zhe, Liang He, Lin Cai, and Jianping Pan. "Temperature-Assisted Clock Synchronization and Self-Calibration for Sensor Networks." IEEE Transactions on Wireless Communications 13, no. 6 (2014): 3419–29. http://dx.doi.org/10.1109/twc.2014.051414.130270.

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Stankovic, Milos S., Srdjan S. Stankovic, and Karl Henrik Johansson. "Distributed Blind Calibration in Lossy Sensor Networks via Output Synchronization." IEEE Transactions on Automatic Control 60, no. 12 (2015): 3257–62. http://dx.doi.org/10.1109/tac.2015.2426272.

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Kudin, Dmitriy, Nikolay Kudryavtsev, and Evgeniy Uchaikin. "Design of Network to Monitor Infrasound from Thunderstorm Events: Development of Sensor." E3S Web of Conferences 62 (2018): 01005. http://dx.doi.org/10.1051/e3sconf/20186201005.

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This paper describes the implementation of the autonomous infrasonic sensor for thunderstorm events recognition. Original hardware – microcontroller system with microphones, GPS-based time synchronization and GPRS-modem data transmission is described. The characteristics as calibration results is reviewed.

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Roșca, Gabriela, and Constantin Radu Mirescu. "An Affordable Temporal Calibration Method for Common Video Camera." Applied Mechanics and Materials 555 (June 2014): 781–86. http://dx.doi.org/10.4028/www.scientific.net/amm.555.781.

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The temporal synchronization between video capture and sensor data acquisition are provided by most of advanced data gathering systems using dedicated (and expensive) hardware. This paper raises the question that one could obtain accurate temporal assessment with a normal commercial video camera. With the help of an affordable ATmega328 microcontroller enabled board – for real time programming, and an inexpensive LED based circuit together with some image recognition software an affordable temporal calibration method was proposed that address two of the issues concerning timing of video captur

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LaForest, Lisa M., Tian Zhou, Seyyed Meghdad Hasheminasab, and Ayman Habib. "System Calibration Including Time Delay Estimation for GNSS/INS-Assisted Pushbroom Scanners Onboard UAV Platforms." Photogrammetric Engineering & Remote Sensing 87, no. 10 (2021): 705–16. http://dx.doi.org/10.14358/pers.20-00084r3.

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Unmanned aerial vehicles (UAVs ) equipped with imaging sensors and integrated global navigation satellite system/inertial navigation system (GNSS/INS ) units are used for numerous applications. Deriving reliable 3D coordinates from such UAVs is contingent on accurate geometric calibration, which encompasses the estimation of mounting parameters and synchronization errors. Through a rigorous impact analysis of such systematic errors, this article proposes a direct approach for spatial and temporal calibration (estimating system parameters through a bundle adjustment procedure) of a GNSS/INS -as

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Stanković, Miloš, Srdjan Stanković, Karl Johansson, Marko Beko, and Luis Camarinha-Matos. "On Consensus-Based Distributed Blind Calibration of Sensor Networks." Sensors 18, no. 11 (2018): 4027. http://dx.doi.org/10.3390/s18114027.

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This paper deals with recently proposed algorithms for real-time distributed blind macro-calibration of sensor networks based on consensus (synchronization). The algorithms are completely decentralized and do not require a fusion center. The goal is to consolidate all of the existing results on the subject, present them in a unified way, and provide additional important analysis of theoretical and practical issues that one can encounter when designing and applying the methodology. We first present the basic algorithm which estimates local calibration parameters by enforcing asymptotic consensu

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Tao, Ran. "Sensor Fusion Research in Autonomous Driving Systems Based on Radar and Cameras." Highlights in Science, Engineering and Technology 119 (December 11, 2024): 78–84. https://doi.org/10.54097/srbaft85.

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Sensor fusion technology plays a crucial role in autonomous driving and intelligent transportation systems by integrating data from multiple sensors to achieve more accurate, reliable, and comprehensive environmental perception. Radar and cameras are commonly used sensors, each with its own advantages and limitations. Radar detects the position and velocity of objects through electromagnetic waves, offering all-weather operational capability but with low spatial resolution. Cameras capture high-resolution images using light signals, suitable for detailed object recognition, but their performan

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Lei, Pengyu, Zhitian Li, Bo Xue, Haifeng Zhang, and Xudong Zou. "Hybsync: Nanosecond Wireless Position and Clock Synchronization Based on UWB Communication with Multisensors." Journal of Sensors 2021 (September 24, 2021): 1–12. http://dx.doi.org/10.1155/2021/9920567.

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PNT (positioning, navigation, and timing) is the core functional part of kinds of wireless sensor network, which can provide high-precision timing and positioning services for cooperative work systems. Unfortunately, the mature wireless PNT schemes are generally based on GNSS and other auxiliary sources to complete the high accuracy synchronization process, which cannot be applied to GNSS degraded and denied environments such as mines, underground application. In order to solve the application problem of high-precision wireless PNT, Hybsync—a novel non-GNSS-aided wireless PNT architecture, is

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Grammatikopoulos, Lazaros, Anastasios Papanagnou, Antonios Venianakis, Ilias Kalisperakis, and Christos Stentoumis. "An Effective Camera-to-Lidar Spatiotemporal Calibration Based on a Simple Calibration Target." Sensors 22, no. 15 (2022): 5576. http://dx.doi.org/10.3390/s22155576.

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In this contribution, we present a simple and intuitive approach for estimating the exterior (geometrical) calibration of a Lidar instrument with respect to a camera as well as their synchronization shifting (temporal calibration) during data acquisition. For the geometrical calibration, the 3D rigid transformation of the camera system was estimated with respect to the Lidar frame on the basis of the establishment of 2D to 3D point correspondences. The 2D points were automatically extracted on images by exploiting an AprilTag fiducial marker, while the detection of the corresponding Lidar poin

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Amini, Hamed, Tikka Maria, Kari Alanne, and Risto Kosonen. "Simulation model calibration for a multi-purpose building on an hourly basis." E3S Web of Conferences 562 (2024): 11001. http://dx.doi.org/10.1051/e3sconf/202456211001.

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When developing digital twins for buildings, the calibration of simulation models on an hourly basis is essential to maintain the fidelity of the virtual representation and to enable real-time monitoring and analysis in the operational phase. Achieving such a high accuracy in building performance simulations (BPS) calls for novel calibration strategies with enhanced effectiveness. In this regard, this paper outlines a calibration strategy that makes use of hourly measurements to improve the fidelity of energy simulation models. The proposed approach includes a hierarchical structure involving

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Li, J., Z. Wu, X. Wei, Y. Zhang, F. Feng, and F. Guo. "RADIOMETRIC CROSS-CALIBRATION OF GAOFEN-1 WFV CAMERAS WITH LANDSAT-8 OLI AND MODIS SENSORS BASED ON RADIATION AND GEOMETRY MATCHING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3 (April 30, 2018): 843–48. http://dx.doi.org/10.5194/isprs-archives-xlii-3-843-2018.

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Cross-calibration has the advantages of high precision, low resource requirements and simple implementation. It has been widely used in recent years. The four wide-field-of-view (WFV) cameras on-board Gaofen-1 satellite provide high spatial resolution and wide combined coverage (4&amp;thinsp;&amp;times;&amp;thinsp;200&amp;thinsp;km) without onboard calibration. In this paper, the four-band radiometric cross-calibration coefficients of WFV1 camera were obtained based on radiation and geometry matching taking Landsat 8 OLI (Operational Land Imager) sensor as reference. Scale Inva

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Xiong, Nan, Minrui Fei, Taicheng Yang, and Yu-Chu Tian. "Randomized and Efficient Time Synchronization in Dynamic Wireless Sensor Networks: A Gossip-Consensus-Based Approach." Complexity 2018 (November 8, 2018): 1–16. http://dx.doi.org/10.1155/2018/4283087.

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This paper proposes novel randomized gossip-consensus-based sync (RGCS) algorithms to realize efficient time calibration in dynamic wireless sensor networks (WSNs). First, the unreliable links are described by stochastic connections, reflecting the characteristic of changing connectivity gleaned from dynamic WSNs. Secondly, based on the mutual drift estimation, each pair of activated nodes fully adjusts clock rate and offset to achieve network-wide time synchronization by drawing upon the gossip consensus approach. The converge-to-max criterion is introduced to achieve a much faster convergenc

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Eling, C., M. Wieland, C. Hess, L. Klingbeil, and H. Kuhlmann. "DEVELOPMENT AND EVALUATION OF A UAV BASED MAPPING SYSTEM FOR REMOTE SENSING AND SURVEYING APPLICATIONS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1/W4 (August 26, 2015): 233–39. http://dx.doi.org/10.5194/isprsarchives-xl-1-w4-233-2015.

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In recent years, unmanned aerial vehicles (UAVs) have increasingly been used in various application areas, such as in the remote sensing or surveying. For these applications the UAV has to be equipped with a mapping sensor, which is mostly a camera. Furthermore, a georeferencing of the UAV platform and/or the acquired mapping data is required. The most efficient way to realize this georeferencing is the direct georeferencing, which is based on an onboard multi-sensor system. In recent decades, direct georeferencing systems have been researched and used extensively in airborne, ship and land ve

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Polyakov, A. R., A. V. Kornilova, and I. A. Kirilenko. "Auto-calibration and synchronization of camera and MEMS-sensors." Proceedings of the Institute for System Programming of the RAS 30, no. 4 (2018): 169–82. http://dx.doi.org/10.15514/ispras-2018-30(4)-11.

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Liu, Suiyang, Zhongjie Guo, Xinqi Cheng, Ruiming Xu, and Ningmei Yu. "Synchronous Driving Method for Stitching Pixel Arrays Based on an Adaptive Correction Technique." Sensors 24, no. 6 (2024): 1886. http://dx.doi.org/10.3390/s24061886.

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With the application of stitching technology in large-pixel-array CMOS image sensors, the problem of non-synchronized output signals from pixel array bilateral driver circuits has become progressively more serious and has led to the DC perforation of bilateral driver circuits, while conventional clock tree synchronization design methodology does not apply to stitching technology. Therefore, this paper analyses reasons for the inconsistency in the output signals of bilateral driving circuits and proposes a synchronous driving method applicable to stitching pixel arrays based on the idea of on-c

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Ho, Hoai-Nam, Jong-Han Lee, Young-Soo Park, and Jong-Jae Lee. "A Synchronized Multipoint Vision-Based System for Displacement Measurement of Civil Infrastructures." Scientific World Journal 2012 (2012): 1–9. http://dx.doi.org/10.1100/2012/519146.

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This study presents an advanced multipoint vision-based system for dynamic displacement measurement of civil infrastructures. The proposed system consists of commercial camcorders, frame grabbers, low-cost PCs, and a wireless LAN access point. The images of target panels attached to a structure are captured by camcorders and streamed into the PC via frame grabbers. Then the displacements of targets are calculated using image processing techniques with premeasured calibration parameters. This system can simultaneously support two camcorders at the subsystem level for dynamic real-time displacem

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Lv, Chunlei, and Lihua Cao. "Target Recognition Algorithm Based on Optical Sensor Data Fusion." Journal of Sensors 2021 (October 26, 2021): 1–12. http://dx.doi.org/10.1155/2021/1979523.

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Optical sensor data fusion technology is a research hotspot in the field of information science in recent years, which is widely used in military and civilian fields because of its advantages of high accuracy and low cost, and target recognition is one of the important research directions. Based on the characteristics of small target optical imaging, this paper fully utilizes the frontier theoretical methods in the field of image processing and proposes a small target recognition algorithm process framework based on visible and infrared image data fusion and improves the accuracy as well as st

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Alqaydi, Saif, Waleed Zeiada, Ahmed El Wakil, Ali Juma Alnaqbi, and Abdelhalim Azam. "A Comprehensive Review of Smartphone and Other Device-Based Techniques for Road Surface Monitoring." Eng 5, no. 4 (2024): 3397–426. https://doi.org/10.3390/eng5040177.

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Deteriorating road infrastructure is a global concern, especially in low-income countries where financial and technological constraints hinder effective monitoring and maintenance. Traditional methods, like inertial profilers, are expensive and complex, making them unsuitable for large-scale use. This paper explores the integration of cost-effective, scalable smartphone technologies for road surface monitoring. Smartphone sensors, such as accelerometers and gyroscopes, combined with data preprocessing techniques like filtering and reorientation, improve the quality of collected data. Machine l

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Cheng, Xuchang. "Research on the Application of Computer Vision Technology in Power System UAV Line Inspection." E3S Web of Conferences 358 (2022): 01030. http://dx.doi.org/10.1051/e3sconf/202235801030.

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The stability of transmission lines is one of the important factors to ensure stable power supply. In this paper, a set of UAV intelligent power line inspection flight control system is designed according to the special flight requirements of UAV in power line inspection operation based on the principle of photogrammetry. The key technologies of the system include UAV flight attitude control, high-precision time synchronization between multiple sensors, defect detection and intelligent diagnosis, airborne sensor calibration, wireless communication, and ground data processing. In this paper, a

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Liao, Yunmao, and Chao Fang. "An Online Monocular Camera-IMU Calibration Method with Structural Feature Constraints." International Journal of Computer Science and Information Technology 2, no. 2 (2024): 230–42. https://doi.org/10.62051/ijcsit.v2n2.27.

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Spatial configuration and time synchronization technology are the key to achieve high precision positioning of visual inertial system. The premise is to calibrate the internal and external parameters of the camera, the IMU (inertial measurement unit) bias and the external parameters between the camera and the IMU. In the traditional calibration method, the work of external parameter calibration is carried out offline, and it is generally completed in the initialization stage before being put into use, and it is assumed that the external parameters of each sensor will not change during the long

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Khoramshahi, Ehsan, Mariana Campos, Antonio Tommaselli, et al. "Accurate Calibration Scheme for a Multi-Camera Mobile Mapping System." Remote Sensing 11, no. 23 (2019): 2778. http://dx.doi.org/10.3390/rs11232778.

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Mobile mapping systems (MMS) are increasingly used for many photogrammetric and computer vision applications, especially encouraged by the fast and accurate geospatial data generation. The accuracy of point position in an MMS is mainly dependent on the quality of calibration, accuracy of sensor synchronization, accuracy of georeferencing and stability of geometric configuration of space intersections. In this study, we focus on multi-camera calibration (interior and relative orientation parameter estimation) and MMS calibration (mounting parameter estimation). The objective of this study was t

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Long, Ningbo, Han Yan, Liqiang Wang, Haifeng Li, and Qing Yang. "Unifying Obstacle Detection, Recognition, and Fusion Based on the Polarization Color Stereo Camera and LiDAR for the ADAS." Sensors 22, no. 7 (2022): 2453. http://dx.doi.org/10.3390/s22072453.

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The perception module plays an important role in vehicles equipped with advanced driver-assistance systems (ADAS). This paper presents a multi-sensor data fusion system based on the polarization color stereo camera and the forward-looking light detection and ranging (LiDAR), which achieves the multiple target detection, recognition, and data fusion. The You Only Look Once v4 (YOLOv4) network is utilized to achieve object detection and recognition on the color images. The depth images are obtained from the rectified left and right images based on the principle of the epipolar constraints, then

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Che, Chang, Bo Liu, Shulin Li, Jiaxin Huang, and Hao Hu. "Deep Learning for Precise Robot Position Prediction in Logistics." Journal of Theory and Practice of Engineering Science 3, no. 10 (2023): 36–41. http://dx.doi.org/10.53469/jtpes.2023.03(10).05.

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This study presents an interdisciplinary investigation at the nexus of mechanical engineering and computer science, aimed at advancing the field of logistics automation. In response to the escalating demands of global cargo transportation, the integration of these disciplines assumes paramount importance. Conducted within the domain of Dortmund University of Technology’s Material Flow and Warehousing Chair, this research focuses on the precise control of robots, a task contingent on accurate positional information. Leveraging a controlled internal logistics precinct, the study delves into the

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Ivasiv, I. B., L. Ye Chervinka, and O. O. Chervinka. "Synthesis of signal formation and processing blocks of diffuse light reflection sensor using FPGA PSoC5 microcontroller." Information extraction and processing 2023, no. 51 (2023): 32–38. http://dx.doi.org/10.15407/vidbir2023.51.032.

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The problem of partial implementing the functionality of the electronic blocks for forming and processing the diffuse light reflection sensor's signal using an FPGA-microcontroller PSoC5 is solved. The topicality of this problem is caused by necessity of precision and high resolution measurement of the difference between, on the one hand, the reference signal of light reflection from the clear sensor's working surface and, on the other hand, the signal of diffuse light reflection from the inspected corroded surface. For this purpose, in particular, a channels' multiplexer, measuring and refere

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Rafi Akbar, Teuku Alif, and Apriono Catur. "Visible Light Communication System Design Using Raspberry Pi4B, LED Array, and MQTT Synchronization Protocol." Jurnal Ilmiah Teknik Elektro Komputer dan Informatika 9, no. 1 (2023): 58–73. https://doi.org/10.26555/jiteki.v9i1.25431.

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Visible light communication emerged as the solution to overcome limitations exist in RF-based communication system. Although many research has been done on VLC, there are still a lot room for improvements, especially in the design of the VLC itself. This study discusses a simple visible light communication system design that transmits temperature and humidity information. The system uses Array 2×2 LED configuration to transmit data and photodiode to receive the optical signal. Raspberry Pi is used as the signal processor. The research carried out variations in the color of LED used, variations

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Dammert, Lucas, Tomas Thalmann, David Monetti, Hans-Berndt Neuner, and Gottfried Mandlburger. "A Review on UAS Trajectory Estimation Using Decentralized Multi-Sensor Systems Based on Robotic Total Stations." Sensors 25, no. 13 (2025): 3838. https://doi.org/10.3390/s25133838.

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In our contribution, we conduct a thematic literature review on trajectory estimation using a decentralized multi-sensor system based on robotic total stations (RTS) with a focus on unmanned aerial system (UAS) platforms. While RTS are commonly used for trajectory estimation in areas where GNSS is not sufficiently accurate or is unavailable, they are rarely used for UAS trajectory estimation. Extending the RTS with integrated camera images allows for UAS pose estimation (position and orientation). We review existing research on the entire RTS measurement processes, including time synchronizati

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Będkowski, Janusz, and Michał Pełka. "Affordable Robotic Mobile Mapping System Based on Lidar with Additional Rotating Planar Reflector." Sensors 23, no. 3 (2023): 1551. http://dx.doi.org/10.3390/s23031551.

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This paper describes an affordable robotic mobile 3D mapping system. It is built with Livox Mid−40 lidar with a conic field of view extended by a custom rotating planar reflector. This 3D sensor is compared with the more expensive Velodyne VLP 16 lidar. It is shown that the proposed sensor reaches satisfactory accuracy and range. Furthermore, it is able to preserve the metric accuracy and non−repetitive scanning pattern of the unmodified sensor. Due to preserving the non−repetitive scan pattern, our system is capable of covering the entire field of view of 38.4 × 360 degrees, which is an added

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Bartosik, Gaweł, Mateusz Komorkiewicz, Dariusz Marchewka, and Paweł Skruch. "Automatic Verification of Camera, Radar, LIDAR Sensors Synchronization and Calibration for Automotive Applications." Journal of Advances in Information Technology 16, no. 5 (2025): 742–50. https://doi.org/10.12720/jait.16.5.742-750.

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Huang, H., X. Zhang, J. Yang, Y. Fu, and J. Bian. "RESEARCH ON SENSOR FUSION-BASED CALIBRATION AND REAL-TIME POINT CLOUD MAPPING METHODS FOR LASER LIDAR AND IMU." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1/W2-2023 (December 13, 2023): 1199–206. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-w2-2023-1199-2023.

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Abstract. Simultaneous Localization and Mapping (SLAM), as one of the core technologies in autonomous driving, provides environment perception, decision-making, and path planning to ensure safe vehicle operation. This paper proposes a tightly-coupled fusion mapping method based on LiDAR and Inertial Measurement Unit (IMU). By introducing IMU, performing extrinsic calibration, and time synchronization with the LiDAR, the issue of mapping drift caused by inconsistent coordinate systems is addressed, leading to improved mapping accuracy. Furthermore, to compensate for IMU zero-bias errors, IMU pr

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Hagengruber, Annette, Ulrike Leipscher, Bjoern M. Eskofier, and Jörn Vogel. "A New Labeling Approach for Proportional Electromyographic Control." Sensors 22, no. 4 (2022): 1368. http://dx.doi.org/10.3390/s22041368.

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Different control strategies are available for human machine interfaces based on electromyography (EMG) to map voluntary muscle signals to control signals of a remote controlled device. Complex systems such as robots or multi-fingered hands require a natural commanding, which can be realized with proportional and simultaneous control schemes. Machine learning approaches and methods based on regression are often used to realize the desired functionality. Training procedures often include the tracking of visual stimuli on a screen or additional sensors, such as cameras or force sensors, to creat

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Luo, Cong. "A Voice Recognition Sensor and Voice Control System in an Intelligent Toy Robot System." Journal of Sensors 2023 (February 14, 2023): 1–8. http://dx.doi.org/10.1155/2023/4311745.

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In order to make the toy robot more entertaining, interesting, and intelligent, a voice recognition sensor and voice control system in the intelligent toy robot system are proposed. The system builds an overall system architecture including a client and a server. Through the camera calibration and data transmission module of the client, it collects images and calculates the internal and external parameters of the camera and transmits the image and external parameter data to the server. With the images and external parameter data transmitted from the terminal, a background image is constructed

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Anitha, Dr E. Baby, M. Priya Laxmi, R. Sakthivel, and S. R. Sathya. "Communication Efficiency Improvement Using Self Calibrating HAA Algorithm and Comparison Analysis Over SDN and HDN." Revista Gestão Inovação e Tecnologias 11, no. 2 (2021): 387–95. http://dx.doi.org/10.47059/revistageintec.v11i2.1675.

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The Internet of Things (IoT) is otherwise called the Web of everything. As a significant piece of the new age of shrewd data innovation, the IoT has pulled in the consideration both of specialists and designers everywhere on the world. Thinking about the restricted limit of keen items, the IoT essentially utilizes distributed computing to extend figuring and capacity assets. The gigantic information gathered by the sensor are put away in the distributed storage worker, additionally the cloud weakness will straightforwardly undermine the security and unwavering quality of the IoT. To guarantee

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Menna, F., E. Nocerino, B. Chemisky, F. Remondino, and P. Drap. "ACCURATE SCALING AND LEVELLING IN UNDERWATER PHOTOGRAMMETRY WITH A PRESSURE SENSOR." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2021 (June 28, 2021): 667–72. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2021-667-2021.

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Abstract. Photogrammetry needs known geometric elements to provide metric traceable measurements. These known elements can be a distance between two three-dimensional object points or two camera stations, or a combination of known coordinates and/or angles to solve the seven degrees of freedom that lead to rank deficiency of the normal-equation matrix. In this paper we present a novel approach for scaling and levelling to the local vertical direction an underwater photogrammetric survey. The developed methodology is based on a portable low-cost device designed and realized by the authors that

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Huang, Yi-Ping, Bor-Tung Jiang, Chia-Hung Wu, and Jen-Yuan Chang. "Vision-Based Path Guidance to Achieve Dies-Free Roller Hemming Process." Applied Sciences 11, no. 12 (2021): 5741. http://dx.doi.org/10.3390/app11125741.

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Due to its high production flexibility, roller hemming has become the mainstream process for forming and joining metal sheets in the automotive industry. The traditional roller hemming process requires specific dies to support sheet metal parts and repeated offline manual adjustment of hemming routes, resulting in high die costs, high time consumption, and excessive labor inputs. The universal platform presented in this paper could replace specific dies to effectively reduce costs and expand production flexibility. To reach this objective, a vision-based automatic compensation path to achieve

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LaForest, Hasheminasab, Zhou, Flatt, and Habib. "New Strategies for Time Delay Estimation During System Calibration for UAV-Based GNSS/INS-Assisted Imaging Systems." Remote Sensing 11, no. 15 (2019): 1811. http://dx.doi.org/10.3390/rs11151811.

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The need for accurate 3D spatial information is growing rapidly in many of today’s key industries, such as precision agriculture, emergency management, infrastructure monitoring, and defense. Unmanned aerial vehicles (UAVs) equipped with global navigation satellite systems/inertial navigation systems (GNSS/INS) and consumer-grade digital imaging sensors are capable of providing accurate 3D spatial information at a relatively low cost. However, with the use of consumer-grade sensors, system calibration is critical for accurate 3D reconstruction. In this study, ‘consumer-grade’ refers to cameras

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Fazeli, H., F. Samadzadegan, and F. Dadrasjavan. "EVALUATING THE POTENTIAL OF RTK-UAV FOR AUTOMATIC POINT CLOUD GENERATION IN 3D RAPID MAPPING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B6 (June 17, 2016): 221–26. http://dx.doi.org/10.5194/isprs-archives-xli-b6-221-2016.

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During disaster and emergency situations, 3D geospatial data can provide essential information for decision support systems. The utilization of geospatial data using digital surface models as a basic reference is mandatory to provide accurate quick emergency response in so called rapid mapping activities. The recipe between accuracy requirements and time restriction is considered critical in this situations. UAVs as alternative platforms for 3D point cloud acquisition offer potentials because of their flexibility and practicability combined with low cost implementations. Moreover, the high res

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Zhu, Jianguo, Yanyan Dong, Xiaobin Xu, Jiewen Wang, and Jianqing Wu. "A spatiotemporal registration method between roadside lidar and camera." Journal of Physics: Conference Series 2370, no. 1 (2022): 012003. http://dx.doi.org/10.1088/1742-6596/2370/1/012003.

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With the rapid development of intelligent transportation, it is of great significance to improve road traffic safety and traffic efficiency by tracking road users in real time. In this paper, a roadside multi-source data acquisition platform is designed based on two main sensors, lidar and camera, to perform time synchronization between lidar data and camera data. The point cloud data and image data of the same frame are the research objects. Based on Zhang Zhengyou’s calibration method and the plane target model theory, the camera internal parameters and the joint external parameters of the l

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Ciuffoletti, Augusto. "Power-Aware Synchronization of a Software Defined Clock." Journal of Sensor and Actuator Networks 8, no. 1 (2019): 11. http://dx.doi.org/10.3390/jsan8010011.

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In a distributed system, a common time reference allows each component to associate the same timestamp to events that occur simultaneously. It is a design option with benefits and drawbacks since it simplifies and makes more efficient a number of functions, but requires additional resources and control to keep component clocks synchronized. In this paper, we quantify how much power is spent to implement such a function, which helps to solve the dilemma in a system of low-power sensors. To find widely applicable results, the formal model used in our investigation is agnostic of the communicatio

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Gorchakov, I. V., I. V. Egorov, S. Yu Avdyuhina, and A. L. Ronzhin. "BROADBAND SEISMIC NODE BASED ON LOW-NOISE HIGH-SENSITIVITY MOLECULAR-ELECTRONIC SENSORS." Petroleum Engineering 22, no. 4 (2024): 226–38. http://dx.doi.org/10.17122/ngdelo-2024-4-226-238.

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The developed wideband compact digital seismic module designed for use in ground nodal seismic systems with deployment assistance from unmanned aerial vehicle (UAV) is discussed. The operation frequency band is 1–300 Hz, which is by far wider than that of the seismic nodes based on using standard (10Hz) electrodynamic geophones. Such improvement was achieved through the use of highly sensitive seismic sensors with molecular electronic transfer (MET) that allow for covering a low-frequency part of the spectrum that is needed for broadband processing and receiving information on deep subsurface

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Li, Jianli, Jiancheng Fang, Zhaoxing Lu, and Lijian Bai. "Airborne Position and Orientation System for Aerial Remote Sensing." International Journal of Aerospace Engineering 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/8721391.

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The airborne Position Orientation System (POS) can accurately measure space-time reference information and plays a vital role in aerial remote sensing system. It may be applied in a direct georeference system for optical camera and a motion imaging system for Synthetic Aperture Radar (SAR), which further advances efficiency and quality of imaging sensors. In this paper, the operation principle and components of airborne POS are introduced. Some key technologies of airborne POS are summarized. They include the error calibration and compensation, initial alignment, lever arm error modeling, time

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Fazeli, H., F. Samadzadegan, and F. Dadrasjavan. "EVALUATING THE POTENTIAL OF RTK-UAV FOR AUTOMATIC POINT CLOUD GENERATION IN 3D RAPID MAPPING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B6 (June 17, 2016): 221–26. http://dx.doi.org/10.5194/isprsarchives-xli-b6-221-2016.

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Abstract:

During disaster and emergency situations, 3D geospatial data can provide essential information for decision support systems. The utilization of geospatial data using digital surface models as a basic reference is mandatory to provide accurate quick emergency response in so called rapid mapping activities. The recipe between accuracy requirements and time restriction is considered critical in this situations. UAVs as alternative platforms for 3D point cloud acquisition offer potentials because of their flexibility and practicability combined with low cost implementations. Moreover, the high res

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Huang, Y. E., S. Tsai, H. Y. Liu, et al. "THE DEVELOPMENT AND VALIDATION OF A TACTICAL GRADE EGI SYSTEM FOR LAND VEHICULAR NAVIGATION APPLICATIONS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1/W2-2023 (December 13, 2023): 821–28. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-w2-2023-821-2023.

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Abstract. Over recent years, the utilization of commercially available integrated navigation systems for the development of navigation algorithms has become increasingly commonplace. Nevertheless, the wide range of sensor quality on the market complicates system customization and restricts the evolution of navigation algorithms. This study aims to address these issues by creating an affordable, tactical-grade, real-time integrated navigation system, EGI-500 (Embedded GNSS and INS), encompassing both hardware and software components. EGI-500 incorporates a tactical-grade IMU500 and a Septentrio

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Nocerino, E., M. M. Nawaf, M. Saccone, et al. "MULTI-CAMERA SYSTEM CALIBRATION OF A LOW-COST REMOTELY OPERATED VEHICLE FOR UNDERWATER CAVE EXPLORATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-1 (September 26, 2018): 329–37. http://dx.doi.org/10.5194/isprs-archives-xlii-1-329-2018.

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<p><strong>Abstract.</strong> Exploration, documentation and mapping of underwater environment is one of the biggest open challenges for science and engineering. Humankind is not naturally designed to operate in water and, despite the enormous technological advancement that offers nowadays unprecedented opportunities, diving and working underwater is still very dangerous, especially in confined spaces such as underwater caves. Great research efforts are currently devoted to underwater autonomous navigation, but available solutions still mainly rely on complex and expensive sy

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