Servo controlled rapid MCM target reacquisition using REMUS-100

Packard, G.; Austin, Thomas; Christenson, Reed; Kaeli, Jeff; Littlefield, Robin; Purcell, Michael; Stokey, R.

doi:10.1109/oceans.2014.7003221

Cited by 4 publications

(5 citation statements)

References 3 publications

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“…The slow and predictable track trajectories of white sharks compliments surveillance strategies that can make frequent surveillance passes (Figure 3b). However, although white shark behaviour was consistent across the various study locations, it has been demonstrated to significantly differ near abundant food sources, such as in proximity to seal colonies or when whale carcasses wash near shore [13]. Such species-specific information on behaviour can enhance our success of identifying and tracking sharks under different environmental conditions.…”

Section: Drones As a Tool For Shark Hazard Reductionmentioning

confidence: 93%

“…The drone also carried a variety of sensors including an acoustic Doppler current profiler, a conductivity-temperature probe, magnetic heading sensor, and pressure sensor. During this study, basking and white sharks were tracked at depth off the coast of Cape Cod, MA and direct observations (video) and environmental data were collected, thereby demonstrating that an AUV could actively and accurately track large (>2 m) sharks in shallow waters (<20 m) [13].…”

Section: The Potential Of Underwater Dronesmentioning

confidence: 95%

“…In that study, the drone was constrained to the surface, was not equipped with cameras (for behavioural observations), lacked the capacity to monitor animal depth, and resulted in a coarse estimate of the shark's horizontal movements. Packard et al [13] were the first to mount cameras on an underwater drone for the sole purpose of observing behaviour while actively tracking sharks and collecting environmental data at depth. These authors used a REMUS (Remote Environmental Monitoring UnitS; Woods Hole Oceanographic Institution, Woods Hole, MA, USA) drone, which was developed as a platform for a wide variety of oceanographic instrumentation and outfitted with a Global Positioning System (GPS), wireless communication, iridium capabilities, an inertial navigation system, ring laser gyroscopes to orient the vehicle spatially, and accelerometers to sense changes in speed and velocity [9].…”

Section: The Potential Of Underwater Dronesmentioning

confidence: 99%

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The Drone Revolution of Shark Science: A Review

Butcher

Colefax²,

Gorkin

et al. 2021

Drones

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Over the past decade, drones have become a popular tool for wildlife management and research. Drones have shown significant value for animals that were often difficult or dangerous to study using traditional survey methods. In the past five years drone technology has become commonplace for shark research with their use above, and more recently, below the water helping to minimise knowledge gaps about these cryptic species. Drones have enhanced our understanding of shark behaviour and are critically important tools, not only due to the importance and conservation of the animals in the ecosystem, but to also help minimise dangerous encounters with humans. To provide some guidance for their future use in relation to sharks, this review provides an overview of how drones are currently used with critical context for shark monitoring. We show how drones have been used to fill knowledge gaps around fundamental shark behaviours or movements, social interactions, and predation across multiple species and scenarios. We further detail the advancement in technology across sensors, automation, and artificial intelligence that are improving our abilities in data collection and analysis and opening opportunities for shark-related beach safety. An investigation of the shark-based research potential for underwater drones (ROV/AUV) is also provided. Finally, this review provides baseline observations that have been pioneered for shark research and recommendations for how drones might be used to enhance our knowledge in the future.

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Section: Drones As a Tool For Shark Hazard Reductionmentioning

confidence: 93%

Section: The Potential Of Underwater Dronesmentioning

confidence: 95%

Section: The Potential Of Underwater Dronesmentioning

confidence: 99%

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The Drone Revolution of Shark Science: A Review

Butcher

Colefax²,

Gorkin

et al. 2021

Drones

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“…There are few frameworks in the literature that address the whole problem of target reacquisition in the context of MCM missions. One of them is [37], in which the process of reacquiring a target while gathering FLS images with an AUV is described. The target position is identified using a SSS-based ATR and the gathered FLS images are analyzed once the mission finalizes.…”

Section: Related Workmentioning

confidence: 99%

Automatic Target Recognition for Mine Countermeasure Missions Using Forward-Looking Sonar Data

Palomeras

Furfaro

Williams

et al. 2022

IEEE J. Oceanic Eng.

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“…A second vehicle then reacquired those targets. Mine‐like objects detected in sidescan sonar were automatically reacquired using the same vehicle in Packard et al (2014). Recently, archeological survey with multiple AUVs has been addressed in simulation, using a team of a fast, “survey” vehicle and a hover‐capable “inspection” vehicle (Tsiogkas, Frost, Monni, & Lane, 2015; Tsiogkas, Papadimitriou, Saigol, & Lane, 2014; Tsiogkas, Saigol, & Lane, 2015).…”

Section: Introductionmentioning

confidence: 99%

Magnetic survey and autonomous target reacquisition with a scalar magnetometer on a small AUV

Gallimore

Terrill

Pietruszka

et al. 2020

Journal of Field Robotics

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A scalar magnetometer payload has been developed and integrated into a two‐man portable autonomous underwater vehicle (AUV) for geophysical and archeological surveys. The compact system collects data from a Geometrics microfabricated atomic magnetometer, a total‐field atomic magnetometer. Data from the sensor is both stored for post‐processing and made available to an onboard autonomy engine for real‐time sense and react behaviors. This system has been characterized both in controlled laboratory conditions and at sea to determine its performance limits. Methodologies for processing the magnetometer data to correct for interference and error introduced by the AUV platform were developed to improve sensing performance. When conducting seabed surveys, detection and characterization of targets of interest are performed in real‐time aboard the AUV. This system is used to drive both single‐ and multiple‐vehicle autonomous target reacquisition behaviors. The combination of on‐board target detection and autonomous reacquire capability is found to increase the effective survey coverage rate of the AUV‐based magnetic sensing system.

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Servo controlled rapid MCM target reacquisition using REMUS-100

Cited by 4 publications

References 3 publications

The Drone Revolution of Shark Science: A Review

The Drone Revolution of Shark Science: A Review

Automatic Target Recognition for Mine Countermeasure Missions Using Forward-Looking Sonar Data

Magnetic survey and autonomous target reacquisition with a scalar magnetometer on a small AUV

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