Development of a drone equipped with optimized sensors for nuclear and radiological risk characterization

Boudergui, Karim; Carrel, F.; Domenech, T.; Guénard, Nicolas; Poli, Jean-Philippe; Ravet, A.; Schoepff, Vincent; Woo, Romuald

doi:10.1109/animma.2011.6172936

Cited by 33 publications

(38 citation statements)

References 11 publications

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“…These range from fixed-wing (Kurvinen et al 2005;Pöllänen et al 2009) to single rotor helicopter-style aircraft (Furutani et al, n.d.;Sanada and Torii 2015;Towler, Krawiec, and Kochersberger 2012) and multi-rotor systems (Boudergui et al 2011;Han and Chen 2014;Han et al 2013;MacFarlane et al 2014;Martin et al 2015). In comparing these works, a number of similarities and differences can be highlighted in the attributes of each of the systems.…”

Section: Aircraft Systemmentioning

confidence: 99%

“…For example, the UAV system presented in Martin et al (2015) was powered by batteries that allow for between 30 and 40 min of flight time per charge. Other battery run systems (Boudergui et al 2011;Han and Chen 2014;Han et al 2013;MacFarlane et al 2014) display similarly small individual flight time (12-30 min). Conversely, systems that run on petroleum fuels (Kurvinen et al 2005;Sanada and Torii 2015;Towler, Krawiec, and Kochersberger 2012) tend to have longer individual flight times (90-240 min).…”

Section: Aircraft Systemmentioning

confidence: 99%

“…This vehicle would not be suitable for low altitude surveys (<122 m) due to the topographical and anthropogenic obstacles that exist at these heights. Helicopter-style UAVs (Furutani et al, n.d.;Jiang et al 2015;Sanada and Torii 2015;Towler, Krawiec, and Kochersberger 2012) have been shown to successfully operate at reduced altitudes of around 60-80 m, still well above that used by the multirotor systems (Boudergui et al 2011;Han and Chen 2014;Han et al 2013;MacFarlane et al 2014;Martin et al 2015). Pöllänen et al (2009) demonstrated that low altitude surveying (50 m) can be achieved by small fixed-wing UAVs, but this study focused on a scenario in which radioactive point sources were located within an airfield.…”

Section: Aircraft Systemmentioning

confidence: 99%

“…Research into radiation surveying or mapping using UAVs has occurred for a range of scenarios, these include; ground-level radiation following post-disaster environments (Furutani et al, n.d.;Jiang et al 2015;Sanada and Torii 2015;Towler, Krawiec, and Kochersberger 2012), airborne plumes (Kurvinen et al 2005), low-level radiation anomalies (MacFarlane et al 2014;Martin et al 2015), indoor applications (Boudergui et al 2011) and theoretical tests (Boudergui et al 2011;Han and Chen 2014;Han et al 2013;Jiang et al 2015;MacFarlane et al 2014;Pöllänen et al 2009;Towler, Krawiec, and Kochersberger 2012) Previous studies have explored a variety of UAV designs (Table 1). These range from fixed-wing (Kurvinen et al 2005;Pöllänen et al 2009) to single rotor helicopter-style aircraft (Furutani et al, n.d.;Sanada and Torii 2015;Towler, Krawiec, and Kochersberger 2012) and multi-rotor systems (Boudergui et al 2011;Han and Chen 2014;Han et al 2013;MacFarlane et al 2014;Martin et al 2015).…”

Section: Aircraft Systemmentioning

confidence: 99%

“…However, major technological acceleration within the field has been evident since the incident at the Fukushima Daiichi Nuclear Power Plant (FDNPP) in March 2011 (Boudergui et al 2011;Cao et al 2015;Furutani et al, n.d.;Han and Chen 2014;Han et al 2013;MacFarlane et al 2014;Martin et al 2015;Sanada and Torii 2015;Towler, Krawiec, and Kochersberger 2012). Located off the eastern Japanese coast, the magnitude 9.0 earthquake and resulting 15 m high tsunami (Simons et al 2011) destroyed the plants connection to the external power network and flooded the on-site back-up generators, leaving the reactor pressure vessels (RPVs) without adequate active cooling (Kurokawa, Ishibashi, and Oshima 2012;Povinec, Hirose, and Aoyama 2013).…”

Section: Introductionmentioning

confidence: 99%

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Airborne radiation mapping: overview and application of current and future aerial systems

Connor

Martin

Scott

2016

International Journal of Remote Sensing

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Nuclear power and associated activities are never far from scrutiny, the apparent advantages of the technology are juxtaposed by the risk of incidents perceived as being catastrophic. If a major nuclear incident was to occur, an important aspect of the response management to any radionuclide release would be the need to rapidly establish the spatial distributions and quantities of these released radionuclides, their type in addition to their corresponding activity. The data received from surveys would directly inform evacuation plans, on-site incident management strategies as well as protecting both workforce and public from harm. The disaster at the Fukushima Daiichi Nuclear Power Plant in 2011 is perhaps the best example of the requirement for real time data collection to inform crucial decisions. Previous reviews of the event have observed that because the static on-site radiation detector network was destroyed by the 15 m high tsunami (following the magnitude 9.0 Great Tōhoku earthquake), it was not possible to immediately determine the radionuclide activity in the area and the danger presented to the responding workforce. Such preceding works have retrospectively highlighted the usefulness of unmanned aerial systems in providing real-time data within nuclear and non-nuclear settings. The establishment of an arbitrary 20 km exclusion zone surrounding the Fukushima Daiichi plant, with the displacement of over 150,000 people, has been viewed by many as an over-reaction -with many not having been required to be evacuated. This review examines and evaluates the previous as well as current work on aerial radiation monitoring and the future improvement that might be delivered by a combined three-dimensional (3D) radiation mapping platform. Combining detailed 3D topographical mapping with radiation surveying has powerful implications for the way that radiological contamination across a site might be measured and displayed in the future, both following radiological release events and in routine site monitoring. • Comprehensive review of airborne radiation mapping.• Exploration of potential future systems.• Comparison of the multiple flight, mapping, and detection systems.• Application of devices to a range of scenarios.

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Section: Aircraft Systemmentioning

confidence: 99%

Section: Aircraft Systemmentioning

confidence: 99%

Section: Aircraft Systemmentioning

confidence: 99%

Section: Aircraft Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Airborne radiation mapping: overview and application of current and future aerial systems

Connor

Martin

Scott

2016

International Journal of Remote Sensing

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Unmanned aerial vehicle navigation in underground structure inspection: A review

Zhang,

Hao,

Zhang

et al. 2023

Geological Journal

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Many years after construction, a number of existing old tunnels and underground structures are deteriorating with time as evidenced by cracks, large deformations, water leakage and so forth, which usually require regular site inspections to record their structural deterioration by taking high‐pixel, high‐overlap images along miles of a tunnel network. For complex underground structures (e.g., long tunnels and large caves), unmanned aerial vehicles (UAVs) may be adaptive in acquiring images at multiple heights and angles with low operational costs. So far, UAV underground structural health monitoring has become mature for open‐air surveying with rapid developments in robotic software and hardware. However, the UAV image acquisition for underground working conditions still faces a number of key challenges. This paper aims to provide an overview of UAV navigation techniques in confined dark spaces for geotechnical engineers, geologists, drone developers and other interdisciplinary researchers & professionals in the structural health monitoring field. It specifies the challenges for UAV application in underground space, mainly including lack of Global Navigation Satellite System (GNSS) signals, poor lighting conditions, weak features and obstacle avoidance and then followed by strategic solutions. For example, in light of poor GNSS signals, the fusion of multi‐sensors (e.g., laser imaging, detection and ranging (LiDAR) and multi‐cameras) can enhance localization accuracy in low‐luminance underground conditions. To address obstacle avoidance, computer vision (CV)‐based navigation algorithms (e.g., deep reinforced learning [DRL]) enable effective navigation in complex 3D spaces, but their adaptability is limited by arithmetic power and pre‐training needs. The review of relevant previous studies concludes that further development for UAVs in underground space inspection may focus on operation in large‐scale geometric inspection environments, obstacle avoidance, features and semantic recognition.

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Classification and Analyses of Tendencies of Prior Published Research Studies on Unmanned Aerial Vehicles

2018

Advances in Intelligent Systems and Computing

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Development of a drone equipped with optimized sensors for nuclear and radiological risk characterization

Cited by 33 publications

References 11 publications

Airborne radiation mapping: overview and application of current and future aerial systems

Airborne radiation mapping: overview and application of current and future aerial systems

Unmanned aerial vehicle navigation in underground structure inspection: A review

Classification and Analyses of Tendencies of Prior Published Research Studies on Unmanned Aerial Vehicles

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