An unmanned aerial vehicle-based system for large scale metrology applications

Franceschini, Fiorenzo; Mastrogiacomo, Luca; Pralio, Barbara

doi:10.1080/00207540902896220

Cited by 18 publications

(8 citation statements)

References 18 publications

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“…As presented in the previous subsections, mounting the camera on a multirotor UAS platform would be an extremely effective alternative to lifting platforms in industrial metrology (Franceschini et al, 2010). Indeed, UASs can safely fly the aerial space surrounding the object under inspection while carrying high-quality photographic equipment for CRP.…”

Section: Uass and Camera Network Designmentioning

confidence: 99%

Towards online UAS‐based photogrammetric measurements for 3D metrology inspection

Menna

Nocerino

Remondino

et al. 2020

The Photogrammetric Record

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This paper presents the development of a vision metrology system for highaccuracy three-dimensional measurements of large structures requiring dimensional tolerancing. The proposed system integrates a V-STARS N platinum photogrammetric system from Geodetic Systems, a DJI M600 Pro UAS with Ronin-MX gimbal and a dual antenna for real-time kinematic positioning. The paper presents the system architecture and the developed software for camera network simulation and image acquisition. As an acquisition scenario, a large dish parabolic antenna is simulated. The benefits of the developed procedure include the ability to handle obstacle avoidance and self-occlusions and, employing a rigorous camera network simulation approach, to overcome the limitations of currently available flight planning commercial tools that are mainly conceived for mapping applications. Future work will consider extensive testing of the platform in real-case scenarios.

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Section: Uass and Camera Network Designmentioning

confidence: 99%

Towards online UAS‐based photogrammetric measurements for 3D metrology inspection

Menna

Nocerino

Remondino

et al. 2020

The Photogrammetric Record

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“…The control unit supervises the communications with the platform. It passes video frames received to the pose estimation library, obtains tracking data, and dispatches them to a navigation module producing control commands for autonomous flight (more details on this latter module can be found in [22]). The control unit also integrates a graphics interface for manual guidance.…”

Section: The Designed Visual Odometry Techniquementioning

confidence: 99%

Mixed Marker-Based/Marker-Less Visual Odometry System for Mobile Robots

Lamberti

Sanna

Paravati

et al. 2013

International Journal of Advanced Robotic Systems

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When moving in generic indoor environments, robotic platforms generally rely solely on information provided by onboard sensors to determine their position and orientation. However, the lack of absolute references often leads to the introduction of severe drifts in estimates computed, making autonomous operations really hard to accomplish. This paper proposes a solution to alleviate the impact of the above issues by combining two vision-based pose estimation techniques working on relative and absolute coordinate systems, respectively. In particular, the unknown ground features in the images that are captured by the vertical camera of a mobile platform are processed by a vision-based odometry algorithm, which is capable of estimating the relative frame-to-frame movements. Then, errors accumulated in the above step are corrected using artificial markers displaced at known positions in the environment. The markers are framed from time to time, which allows the robot to maintain the drifts bounded by additionally providing it with the navigation commands needed for autonomous flight. Accuracy and robustness of the designed technique are demonstrated using an off-the-shelf quadrotor via extensive experimental tests.

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“…Most of commercially available instruments provide an accessory hand-held probe for touching the reference measurement points (Automated Precision, 2009;Leica Geosystems, 2009;Axios 3D, 2009;Nikon Metrology, 2010), thus involving a direct interaction between the sensor equipment and the human operator besides a strong dependence on his/her skills. An alternative approach, proposed in (Franceschini et al, 2009d), relies on autonomous unmanned platforms for carrying the sensor equipment and moving the contact probe around the working volume. According to this new perspective, the human role should be scaled down to simply manage the task-related issues, such as type of measurement (e.g.…”

Section: Wsn-based Approachmentioning

confidence: 99%

A wireless sensor network-based approach to large-scale dimensional metrology

Galetto

Mastrogiacomo

Pralio

2010

International Journal of Computer Integrated Manufacturing

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In many branches of industry, dimensional measurements have become an important part of the production cycle, in order to check product compliance with specifications. This task is not trivial especially when dealing with large scale dimensional measurements: the bigger the measurement dimensions are the harder is to achieve high accuracies. Nowadays, the problem can be handled using many metrological systems, based on different technologies (optical, mechanical, electromagnetic, etc.). Each of these systems is more or less adequate, depending on measuring conditions, user's experience and skill, or other factors such as time, cost, accuracy, portability. This paper focuses on a new possible approach to large scale dimensional metrology based on Wireless Sensor Networks (WSNs). Advantages and drawbacks of such approach are analysed and deeply discussed. Then the paper briefly presents a recent prototype system -MScMS-II (Mobile Spatial coordinate Measuring System) -which has been developed at the Industrial Metrology and Quality Laboratory of DISPEA -Politecnico di Torino. The system results to be suitable for performing dimensional measurements of large-size objects (sizes on the order of several meters). Due to its distributed nature, the system -based on a wireless network of optical devices -is portable, fully scalable with respect to dimensions and shapes, and easily adaptable to different working environments. Preliminary results of experimental tests, aimed at evaluating system performance as well as research perspectives for further improvements, are discussed.

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An unmanned aerial vehicle-based system for large scale metrology applications

Cited by 18 publications

References 18 publications

Towards online UAS‐based photogrammetric measurements for 3D metrology inspection

Towards online UAS‐based photogrammetric measurements for 3D metrology inspection

Mixed Marker-Based/Marker-Less Visual Odometry System for Mobile Robots

A wireless sensor network-based approach to large-scale dimensional metrology

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