Relevant bibliographies by topics / Mobile self-scanning

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  1. Journal articles
  2. Dissertations / Theses
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  4. Conference papers

Academic literature on the topic 'Mobile self-scanning'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 February 2022

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Journal articles on the topic "Mobile self-scanning"

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Aloysius, John A., Hartmut Hoehle, and Viswanath Venkatesh. "Exploiting big data for customer and retailer benefits." International Journal of Operations & Production Management 36, no. 4 (April 4, 2016): 467–86. http://dx.doi.org/10.1108/ijopm-03-2015-0147.

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Purpose – Mobile checkout in the retail store has the promise to be a rich source of big data. It is also a means to increase the rate at which big data flows into an organization as well as the potential to integrate product recommendations and promotions in real time. However, despite efforts by retailers to implement this retail innovation, adoption by customers has been slow. The paper aims to discuss these issues. Design/methodology/approach – Based on interviews and focus groups with leading retailers, technology providers, and service providers, the authors identified several emerging in-store mobile scenarios; and based on customer focus groups, the authors identified potential drivers and inhibitors of use. Findings – A first departure from the traditional customer checkout process flow is that a mobile checkout involves two processes: scanning and payment, and that checkout scenarios with respect to each of these processes varied across two dimensions: first, location – whether they were fixed by location or mobile; and second, autonomy – whether they were assisted by store employees or unassisted. The authors found no evidence that individuals found mobile scanning to be either enjoyable or to have utilitarian benefit. The authors also did not find greater privacy concerns with mobile payments scenarios. The authors did, however, in the post hoc analysis find that mobile unassisted scanning was preferred to mobile assisted scanning. The authors also found that mobile unassisted scanning with fixed unassisted checkout was a preferred service mode, while there was evidence that mobile assisted scanning with mobile assisted payment was the least preferred checkout mode. Finally, the authors found that individual differences including computer self-efficacy, personal innovativeness, and technology anxiety were strong predictors of adoption of mobile scanning and payment scenarios. Originality/value – The work helps the authors understand the emerging mobile checkout scenarios in the retail environment and customer reactions to these scenarios.
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Hillemann, M., J. Meidow, and B. Jutzi. "IMPACT OF DIFFERENT TRAJECTORIES ON EXTRINSIC SELF-CALIBRATION FOR VEHICLE-BASED MOBILE LASER SCANNING SYSTEMS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W16 (September 17, 2019): 119–25. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w16-119-2019.

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<p><strong>Abstract.</strong> The extrinsic calibration of a Mobile Laser Scanning system aims to determine the relative orientation between a laser scanner and a sensor that estimates the exterior orientation of the sensor system. The relative orientation is one component that limits the accuracy of a 3D point cloud which is captured with a Mobile Laser Scanning system. The most efficient way to determine the relative orientation of a Mobile Laser Scanning system is using a self-calibration approach as this avoids the need to perform an additional calibration beforehand. Instead, the system can be calibrated automatically during data acquisition. The entropy-based self-calibration fits into this category and is utilized in this contribution. In this contribution, we analyze the impact of four different trajectories on the result of the entropy-based self-calibration, namely (i) uni-directional, (ii) ortho-directional, (iii) bi-directional, and (iv) multi-directional trajectory. Theoretical considerations are supported by experiments performed with the publicly available <i>MLS 1 – TUM City Campus</i> data set. The investigations show that strong variations of the yaw angle in a confined space or bidirectional trajectories as well as the variation of the height of the laser scanner are beneficial for calibration.</p>
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Li, Zhen, Junxiang Tan, and Hua Liu. "Rigorous Boresight Self-Calibration of Mobile and UAV LiDAR Scanning Systems by Strip Adjustment." Remote Sensing 11, no. 4 (February 20, 2019): 442. http://dx.doi.org/10.3390/rs11040442.

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Mobile LiDAR Scanning (MLS) systems and UAV LiDAR Scanning (ULS) systems equipped with precise Global Navigation Satellite System (GNSS)/Inertial Measurement Unit (IMU) positioning units and LiDAR sensors are used at an increasing rate for the acquisition of high density and high accuracy point clouds because of their safety and efficiency. Without careful calibration of the boresight angles of the MLS systems and ULS systems, the accuracy of data acquired would degrade severely. This paper proposes an automatic boresight self-calibration method for the MLS systems and ULS systems using acquired multi-strip point clouds. The boresight angles of MLS systems and ULS systems are expressed in the direct geo-referencing equation and corrected by minimizing the misalignments between points scanned from different directions and different strips. Two datasets scanned by MLS systems and two datasets scanned by ULS systems were used to verify the proposed boresight calibration method. The experimental results show that the root mean square errors (RMSE) of misalignments between point correspondences of the four datasets after boresight calibration are 2.1 cm, 3.4 cm, 5.4 cm, and 6.1 cm, respectively, which are reduced by 59.6%, 75.4%, 78.0%, and 94.8% compared with those before boresight calibration.
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Sohn, Stefanie, and Barbara Seegebarth. "PRIVATE OR PROVIDED? CONSUMER ACCEPTANCE OF DIFFERENT TYPES OF IN-STORE MOBILE SELF-SCANNING TECHNOLOGY." Global Fashion Management Conference 2020 (November 5, 2020): 1507–21. http://dx.doi.org/10.15444/gmc2020.11.05.02.

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Guinard, S., and B. Vallet. "SENSOR-TOPOLOGY BASED SIMPLICIAL COMPLEX RECONSTRUCTION FROM MOBILE LASER SCANNING." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2 (May 28, 2018): 121–28. http://dx.doi.org/10.5194/isprs-annals-iv-2-121-2018.

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We propose a new method for the reconstruction of simplicial complexes (combining points, edges and triangles) from 3D point clouds from Mobile Laser Scanning (MLS). Our main goal is to produce a reconstruction of a scene that is adapted to the local geometry of objects. Our method uses the inherent topology of the MLS sensor to define a spatial adjacency relationship between points. We then investigate each possible connexion between adjacent points and filter them by searching collinear structures in the scene, or structures perpendicular to the laser beams. Next, we create triangles for each triplet of self-connected edges. Last, we improve this method with a regularization based on the co-planarity of triangles and collinearity of remaining edges. We compare our results to a naive simplicial complexes reconstruction based on edge length.
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Guinard, Stephane, and Bruno Vallet. "Weighted simplicial complex reconstruction from mobile laser scanning using sensor topology." Revue Française de Photogrammétrie et de Télédétection, no. 217-218 (September 21, 2018): 63–71. http://dx.doi.org/10.52638/rfpt.2018.412.

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We propose a new method for the reconstruction of simplicial complexes (combining points, edges and triangles) from 3D points clouds from Mobile Laser Scanning (MLS). Our method uses the inherent topology of the MLS sensor to define a spatial adjacency relationship between points. We then investigate each posible connexion between adjacent points, weighted according to its distance to the sensor, and filter them by searching collinear structures in the scene, or structures perpendicular to the laser beams. Next, we create and filter triangles for each triplet of self-connected edges and according to their local planarity. We compare our results to an unweighted simplicial complex reconstruction.
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Zhang, Shanxin, Cheng Wang, Zhuang Yang, Yiping Chen, and Jonathan Li. "AUTOMATIC RAILWAY POWER LINE EXTRACTION USING MOBILE LASER SCANNING DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B5 (June 15, 2016): 615–19. http://dx.doi.org/10.5194/isprsarchives-xli-b5-615-2016.

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Research on power line extraction technology using mobile laser point clouds has important practical significance on railway power lines patrol work. In this paper, we presents a new method for automatic extracting railway power line from MLS (Mobile Laser Scanning) data. Firstly, according to the spatial structure characteristics of power-line and trajectory, the significant data is segmented piecewise. Then, use the self-adaptive space region growing method to extract power lines parallel with rails. Finally use PCA (Principal Components Analysis) combine with information entropy theory method to judge a section of the power line whether is junction or not and which type of junction it belongs to. The least squares fitting algorithm is introduced to model the power line. An evaluation of the proposed method over a complicated railway point clouds acquired by a RIEGL VMX450 MLS system shows that the proposed method is promising.
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Zhang, Shanxin, Cheng Wang, Zhuang Yang, Yiping Chen, and Jonathan Li. "AUTOMATIC RAILWAY POWER LINE EXTRACTION USING MOBILE LASER SCANNING DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B5 (June 15, 2016): 615–19. http://dx.doi.org/10.5194/isprs-archives-xli-b5-615-2016.

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Research on power line extraction technology using mobile laser point clouds has important practical significance on railway power lines patrol work. In this paper, we presents a new method for automatic extracting railway power line from MLS (Mobile Laser Scanning) data. Firstly, according to the spatial structure characteristics of power-line and trajectory, the significant data is segmented piecewise. Then, use the self-adaptive space region growing method to extract power lines parallel with rails. Finally use PCA (Principal Components Analysis) combine with information entropy theory method to judge a section of the power line whether is junction or not and which type of junction it belongs to. The least squares fitting algorithm is introduced to model the power line. An evaluation of the proposed method over a complicated railway point clouds acquired by a RIEGL VMX450 MLS system shows that the proposed method is promising.
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Mickrenska-Cherneva, C., and A. Alexandrov. "MOBILE LASER SCANNING IN HIGHLY URBANIZED AREA – A CASE STUDY IN SOFIA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIV-4/W2-2020 (September 15, 2020): 29–36. http://dx.doi.org/10.5194/isprs-archives-xliv-4-w2-2020-29-2020.

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Abstract. The paper examines the possibility to create a three-dimensional model of cadastral objects – cadastral parcels and buildings, exploring different spatial data acquisition technologies. Four cadastral parcel and part of the buildings situated in them are selected for the range of the task. Self-contained objects located in buildings have not been examined. The objects are located on the territory of Lozenets District, Sofia, which is highly urbanized part of the capital. In order to create a three-dimensional model, classical land surveying measurements with a total station and mobile laser scanning were performed.In addition, the acquired data is assessed. It is made by comparing measurements of the building to the measurements of the registered point cloud. The assessment results show that the mobile laser scanning technology is efficient to reproduce high quality and accurate data for existing building structures due to MLS advantages – the large range, high accuracy, fast data acquisition and high level of detail.The paper is a part of Alexander Alexandrov master thesis.
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Xu, Jingzhong, Jie Shan, and Ge Wang. "Hierarchical Modeling of Street Trees Using Mobile Laser Scanning." Remote Sensing 12, no. 14 (July 19, 2020): 2321. http://dx.doi.org/10.3390/rs12142321.

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This paper proposes a novel method to reconstruct hierarchical 3D tree models from Mobile Laser Scanning (MLS) point clouds. Starting with a neighborhood graph from the tree point clouds, the method treats the root point of the tree as a source point and determines an initial tree skeleton by using the Dijkstra algorithm. The initial skeleton lines are then optimized by adjusting line connectivity and branch nodes based on morphological characteristics of the tree. Finally, combined with the tree point clouds, the radius of each branch skeleton node is estimated and flat cones are used to simulate tree branches. A local triangulation method is used to connect the gaps between two joint flat cones. Demonstrated by street trees of different sizes and point densities, the proposed method can extract street tree skeletons effectively, generate tree models with higher fidelity, and reconstruct trees with different details according to the skeleton level. It is found out the tree modeling error is related to the average point spacing, with a maximum error at the coarsest level 6 being about 0.61 times the average point spacing. The main source of the modeling error is the self-occlusion of trees branches. Such findings are both theoretically and practically useful for generating high-precision tree models from point clouds. The developed method can be an alternative to the current ones that struggle to balance modeling efficiency and modeling accuracy.
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Dissertations / Theses on the topic "Mobile self-scanning"

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Ekman, Emelie. "Self-Scanning Services in Food Retail : An Investigation on how Self-Scanning Services are adopted in the Swedish Food Retail Environment from a Service Fascination Perspective." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-188933.

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The retail industry is a competitive environment moving towards being rather service-oriented than product-oriented. It is hence essential for businesses to comprehend the market and act accordingly to differentiate themselves. A way of gaining competitive advantage and engage consumers is to invest in innovative technology. Self-scanning services are a fast-improving technology offering consumers a convenient way of shopping. To self-scan through scanners and via self-checkout cashiers are common on the Swedish food retail market. The retailing group ICA is however unique in the sense that they since 2014 additionally offer mobile self-scanning through their smartphone application “ICA Handla”[1]. Despite the increasing use of self-scanning services, there is a lack of research on this area. Thus it is of interest to further investigate the views regarding self-scanning. An interesting concept is ‘Service Fascination’, which is defined as a positive emotional state arising through conscious and subconscious effects when using innovative technology. By reviewing ‘Service Fascination’, it is possible to investigate how innovative technology is adopted. The thesis hence proves to what extent Service Fascination can be measured regarding self-scanning services using the Service Fascination Evaluation Model (SFEM). Based on the model, the essay suggests areas of improvement within ‘Service Fascination’ and depicts the views on self-scanning from the perspectives of consumers, retailers and experts. Tailored communication regarding self-scanning, depending on if the receiver is a non-user, a user or a retailer, is suggested to be further elaborated on. The quality of the self-scanning equipment and the appearance/features are moreover also key conclusions which are proposed to be further developed. Self-scanning services used in the right way are by the thesis' results argued to be a useful tool to differentiate on the Swedish food retail market. [1]http://www.ica.se/appar/ica-handla/
Livsmedelsdetaljhandeln är en konkurrenskraftig marknad som rör sig mot ett serviceinriktat klimat där upplevelser väger tyngre än produkter. Det är således viktigt för företag att förstå marknaden och anpassa sig för att särskilja sig. Ett sätt att uppnå konkurrensfördel och på samma gång engagera kunder är att investera i innovativ teknik.  Självscanningstjänster är en snabbt växande teknik som erbjuder kunder ett bekvämt sätt att handla. Idag är det vanligt förekommande med självscanning genom scanners och “snabbkassor” på den svenska livsmedelsmarknaden. Detaljhandelsföretaget ICA är dock unika med sin tjänst att självscanna via mobiltelefonen med hjälp av “ICA Handla”-appen[1] som lanserades 2014. Trots den ökande användningen av självscanningstjänster finns det ett behov av mer forskning på området. Således är det av intresse att vidare undersöka synen på självscanning. Ett intressant begrepp är ”Service Fascination”, ett positivt känslotillstånd som uppkommer genom medveten och omedveten användning av innovativ teknik. Genom att studera ”Service Fascination” är det möjligt att undersöka hur innovativ teknik anammas. Uppsatsen visar därför till vilken grad Service Fascination kan mätas (gällande självscanning) med hjälp av “Service Fascination Evaluation”-modellen (SFEM). Baserat på modellen föreslår uppsatsen utvecklingspotential inom området Service Fascination och illustrerar synen på självscanning från kunders, ICA-handlares och experters perspektiv.  Slutsatser som är föreslagna att arbeta vidare med är skräddarsydd kommunikation beroende på om mottagaren är en icke-användare, användare eller ICA-handlare. Kvaliteten på utrustningen och självscanningsenheters utseende/funktioner föreslås också att vidareutvecklas. Uppsatsens resultat motiverar för att självscanning som används på rätt sätt är ett användbart verktyg för att skapa konkurrensfördel på den svenska livsmedelsmarknaden. [1]http://www.ica.se/appar/ica-handla/
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Book chapters on the topic "Mobile self-scanning"

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Zhang, Jiancai, Hang Mu, Feng Han, and Shumin Han. "A Research and Application of the Processing Methods of Railway Measurement Based on Self-Mobile Scanning Measurement System." In Advances in Transdisciplinary Engineering. IOS Press, 2020. http://dx.doi.org/10.3233/atde200235.

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With the gradual improvement of China’s railway net, the opening of international railways as well as the continuous growth of railway operating mileage, the workload of remeasuring railways is increasing. The traditional methods of remeasuring railways can not meet current high-speed and high-density operating conditions anymore in terms of safety, efficiency and quality, so a safer and more efficient measurement method is urgently needed.This thesis integrated various sensors on a self-mobile instrument, such as 3D laser scanner, digital image sensor and GNSS_IMU, designing a set of intelligent and integrated self-mobile scanning measurement system. This thesis proposed region growing segmentation based on the reflection intensity of point cloud. Through the secondary development of CAD, the menu for automatic processing of self-mobile scanning measurement system is designed to realize rail automatic segmentation, extraction of rail top points, fitting of plane parameters of railway line, calculation of curve elements and mileage management.The results show that self-mobile scanning measurement system overcomes the shortcomings of traditional railway measurement to some extent, and realizes intelligent measurement of railways.
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Bharti, Manisha, and Poonam Rani Verma. "Underwater Localization Techniques." In Energy-Efficient Underwater Wireless Communications and Networking, 45–66. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-3640-7.ch004.

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Underwater acoustic communication uses sound waves to trans-receive information, diving deep inside water, environment scanning, undersea explorations, disaster prevention, etc. In this chapter, an attempt has been made to cover stationary and mobile localization algorithm. They are further subdivided into distributed and centralized. Each one is further subcategorized into estimation-based and prediction-based schemes. The category therefore extends on the basis of ranging method, communication, and synchronization, some of which are area localization, sensor-based localization, forming a sensor array, motion-aware self-localization, silent localization. Each one will be discussed in detail in this chapter. At last, hybrid technique is also discussed, which combines stationary and mobile techniques. The discussion includes various nodes including anchor node, unknown node, sink node, and reference node. Various methods to follow the techniques are also discussed, which include anchor-based method, ranging method, and message communication.
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Conference papers on the topic "Mobile self-scanning"

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Chil-Kwan Joo, Yu-Chan Kim, Min-Hyok Choi, and Young-Jae Ryoo. "Self localization for intelligent mobile robot using multiple infrared range scanning system." In 2007 International Conference on Control, Automation and Systems. IEEE, 2007. http://dx.doi.org/10.1109/iccas.2007.4407095.

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Wang, Fangwei, Yunkai Zhang, and Jianfeng Ma. "Modeling and Analysis of a Self-Learning Worm Based on Good Point Set Scanning." In 2008 International Wireless Communications and Mobile Computing Conference (IWCMC). IEEE, 2008. http://dx.doi.org/10.1109/iwcmc.2008.17.

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Zhao, Zhouzhou, and Wei Lu. "Growing Large Nanostructured Superlattices by Sequential Activation of Self-Assembly." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-63589.

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We propose a mechanism to grow a large superlattice of phase domains from a continuum homogenous binary film by sequential activation of self-assembly. Self-assembly was initiated in a small mobile region, where atoms could diffuse, to form a seed pattern, Then the mobile region was shifted gradually. This process led to the formation of a long-rang ordered superlattice, regardless whether the seed was perfect or not. The pattern quickly improved to a perfect superlattice along with the sequential activation. We found that the scanning velocity can effectively control the domain pattern when the system is in a bistable state, which refers to a window of average concentration where two different superlattices can both stabilize. We demonstrated two schemes for large-scale high speed fabrication: alternation between scanning directions, using the superlattice created in each previous step as a large seed; and two dimensional growth.
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Dion, Scott, and Akin Tatoglu. "ROS Based Adjustable Resolution Compact 3D Scanner." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-11892.

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Abstract This research study aims to design and develop a compact multi-sensor 3D scanning system for a mobile robot which can detect object types. Sensor suite is equipped with a 3D Lidar with 360-degree field of view and a stationary camera mounted on top of a 2DOF turret. The sensor data is fused to generate a 3D point cloud. Mechanism is required to sweep the 3D space in pitch and roll axes. While servo controller can adjust generated point cloud resolution — and scan duration —, camera images can also be registered to generate a panoramic image of the environment followed by radial distortion corrections. System can generate variable density scans for specific application such mapping or self-driving. This study is the perception portion of our full-scale self-driving golf cart research project of Autonomous Mobile Robotics Research Group.
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Robbins, Mark, Binquan Luan, Sangil Hyun, Judith Harrison, and Noam Bernstein. "Effect of Atomic-Scale Surface Roughness on Friction." In World Tribology Congress III. ASMEDC, 2005. http://dx.doi.org/10.1115/wtc2005-64093.

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Simulations of friction between clean, atomically flat surfaces indicate that the friction force per unit area decreases to zero with increasing area. In previous work, we showed that the presence of mobile atoms between surfaces suppresses this superlubric behavior. The current paper examines the effect of atomic scale roughness. Both single asperities and random self-affine surfaces are considered in two and three-dimensional geometries. We have also examined the effect of commensurability, and elastic or plastic deformation within the bounding solids. The friction force on single asperities decreases to zero as the contact area and radius of curvature increase, but can still be significant at the scale of scanning probe tips. Introducing mobile atoms leads to friction forces that rise linearly with area in large contacts. Frictional forces on random self-affine surfaces can be quite complex. If self-affine scaling extends down to atomic dimensions, the average contact between elastic solids only contains a few atoms and the friction can be large. Plasticity increases contact dimensions and may lower the friction.
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