SlideShare a Scribd company logo
1 of 22
PRESENTATION ON
AUTONOMOUS UNDERWATER VEHICLES
Presented By
ANIMESH MAHATA
Class Roll No. 002010801007
B.E. (IV) ELECTRICAL ENGINEERING
Supervisor Name
Prof. Amitava Chatterjee
Prof. Gautam Sarkar
Prof. Mitta Dutta
JADAVPUR UNIVERSITY
AUTONOMOUS
UNDERWATER VEHICLES
ANIMESH MAHATA
002010801007
JADAVPUR UNIVERSITY
.
---: Diving into the Future :---
The Rise of Autonomous Underwater
Vehicles
CONTENTS
• Introduction
• What are Autonomous Underwater Vehicles?
• AUV’s Structure
• Functional Classification
• Features of Applied AUV Systems
• Applications of Autonomous Underwater Vehicles
• Challenges of Autonomous Underwater Vehicles
• Future of Autonomous Underwater Vehicles
• Discussion and Future Challenges
• Conclusions
• References
INTRODUCTION
• The vastness of our oceans has always been a source of mystery and
intrigue for humans. But with over 80% of the ocean floor unexplored, how
can we possibly uncover its secrets? This is where Autonomous
Underwater Vehicles, or AUVs, come in.
• AUVs are robotic vehicles that can operate underwater without human
intervention. They use advanced technology to navigate the ocean depths,
collecting data and images that were previously inaccessible to us. From
studying marine life to mapping the ocean floor, AUVs are revolutionizing
the way we explore and understand our planet's last frontier.
WHAT ARE AUTONOMOUS UNDERWATER VEHICLES?
 Autonomous Underwater Vehicles, or AUVs, are
unmanned vehicles that can operate underwater
without human intervention. AUVs have been around
since the 1950s, but it wasn't until the 1990s that
advancements in technology made them more practical
and cost-effective.
 A typical AUV consists of a computer, sensors,
propulsion system, and power supply. The computer
controls the AUV's movements and collects data from
the sensors, which can include cameras, sonar, and
other instruments. The propulsion system allows the
AUV to move through the water, and the power supply
provides energy for the AUV's systems. AUVs can be
programmed to follow a specific path or to operate
autonomously, making decisions based on the data
they collect.
 The body structure of AUV is an important element as it
safely houses all the mechanical and the electronic
components in a watertight enclosure. The shape of the AUV
also affects the dynamics of motion because of the fluid-
structure interaction with the surrounding water. Inspired from
submarines, AUVs are generally torpedo shaped
 Apart from these artificial structures, AUVs have taken
inspiration from nature and mimicked aquatic animals. In
addition to exploration and other underwater applications,
these bio-mimetic AUVs can seamlessly integrate to the
marine environment to study and understand the aquatic life
without disturbing them. Fish robots are most popular among
the bio-mimetic AUVs
 AUVs have also been developed which mimic other aquatic
animals such as snake, turtle, beetle and crab etc.
AUV’S STRUCTURE
Typical structure of an AUV. Design of the MBARI mapping AUV
AUV’S STRUCTURE
AUVs nowadays are adapting modular design in the body structure. The whole AUV is a combination of different modules such as propulsion, sensor
modules which can be easily and quickly replaced in case of a failure as well as can be interchanged with different modules according to the mission
requirements. Such modular AUVs are highly versatile and incur less maintenance cost. ‘AUV-150’ , ‘MAYA’, ‘STARFISH’, ‘Bluefin21’, ‘SPARUS II’,
‘FOLAGA’, ‘MARTA are examples of some modular AUVs’.
Fig. 1. (a)“REMUS-6000”
(c)“U-CAT”
Fig:-2 (b)“Bluefin-21”
(d) Kawasaki AUV
Fig. 2. Robotic fish “ichthus”
Fig. 3. Soft robotic fish “Sofi”
Fig:-4
Fig:-3
Fig:-1 Fig:-2
.
FUNCTIONAL CLASSIFICATION
Functional Classification of AUV’s
According to their Functionality:
Propulsion or Drive System
Power Sources:
Navigation and
Positioning Systems:
Mapping and Sampling
Systems
Propulsion or Drive
System
Power Sources Navigation and
Positioning Systems:
Mapping and Sampling
Systems
Different systems and elements
are used to impulse the vehicle,
e.g., regarding to the steering rotor
and propeller issues, with multiple
shapes and materials in the market
nowadays. An appropriate
propulsion system is set according
to the vehicle morphology and use.
It is studied by aerodynamics and
fluid mechanics scientists, taking
into account the hull shape, where
its design will be relevant for the
correct effectivity of the vehicle.
There is some research about the
optimization of the trajectory control
and propulsion systems, using
different mathematical and
algorithmic advances related to the
vectorial positioning of the vehicles,
studying velocity and yaw
components to improve AUV
mission autonomy. AUVSIPRO is a
simulation software developed for
performance prediction with different
propulsion system configurations,
providing an effective method for the
hull hydrodynamic study.
The most common warehouse and
storage methods are the standard
commercial batteries developed,
e.g., magnesium-seawater battery, a
pressure tolerant Li-ion battery and
an aluminum-hydrogen peroxide (Al/
H2O2) semi fuel cell, where different
types of them, e.g., alkaline cell or
fuel cell, are used depending on the
function of buoyancy changes,
system simplicity or depth
requirements. There are novel
energy sources under research
now, e.g., based on hydrogen fuel
cells or the combination of the afore
mentioned systems, using the
renewable energies of special
interest.
These vehicles work in large
offshore areas and need proper
systems and methods to guide their
trajectories. It is important to have
reliable navigation and positioning
for underwater surveys. AUV
navigation and localization
techniques can be divided
according to three categories:
Acoustic transponders and
modems; Inertial/dead reckoning
and; Geophysical techniques. They
consist of hardware and software
architecture systems, e.g., the well-
known Extended Kalman Filter
range-only localization and light
beacons algorithmic combinations
They monitor different areas or the
seabed by generating 2-D and 3-D
operational maps employed in
multiple applications, e.g., sonar
technologies. The main and current
sensors used for this issue are
detailed in Table 1. The optical
cameras often employ LED
illumination due to the darkness
present in submarine work, allowing
a wide range light condition. The
information collected by these
systems can be transferred to
audiovisual documents, providing
real time remote exploration in
some cases, employing techniques
as submarine image processing
approaches, e.g., image de-
scattering process, image high
definition assessments and image
color restoration. The number of
studies about the optical capture
and camera systems is rising due to
the importance of graphical
documents for maintenance works.
Table 1 – Summary of navigation and mapping embedded systems in AUV for Underwater Offshore Inspections
Application System Sensor Technology Features
Navigation CTD/Sonde Geophysical sensor Different simple and single sensors that properly configured and
assembled, can form a functional block like tracking and positioning
applications.
Gyroscope Geophysical sensor
Magnetometers Geophysical sensor
Accelerometer Inertial sensor
Barometer/Pressure Sensor Inertial sensor
Doppler Velocity Log (DVL) Inertial sensor Measure the velocity of the AUV with respect to the ground. The position
estimation accuracy can improve greatly by Kalman filter. DVL will
consist of 4 or more beams
Baseline (Long/Ultra Short) Beacon (Acoustic) They can provide a complete ubication information of the AUV, however,
these methods could present information delay and low measurement
accuracy, producing stability errors.
Mapping Sidescan Imaging Type Sonar (Acoustic) Intensity of returns measure to originate 2D seabed image. Beams are
directed perpendicular to route direction. Phase correlation and
preprocessing methods have been used to improve the system.
Multibeam echosounders Rating Type Sonar (Acoustic) Improving the single beam,obtaining a full coverage measurement in the
area, wide range,high sensitivity and broadband response with high
sensitivity.Work with time from returns form bathymetric maps.
Subbottom Profilers Rating Type Sonar (Acoustic) Low frequency echosounders that investigate the seafloor.
Forward Look Imaging Type Sonar (Acoustic) Similar method to a side-scan sonar, but with directed forward beams.
Recent studies use this method combining with convolutional neural
networks for objects detection.
Camera Geophysical sensor (Optical Optical graphics capturing and imaging processing. Relevant method for
biological and geological surveys.
Acoustic navigation (a)Usbl (b)SBL (c)LBL.
Ultra-Short Baseline(USBL) Short Baseline(SBL) Long Baseline(LBL)
AUV is localized relative to a surface
vehicle fitted with an array of acoustic
transducers (Fig.(a)). Relative distance is
calculated from the time of travel of the
acoustic signal and direction from the
phase difference of the signal received by
different transducers. Here the transducers
are placed close to one-another
Here the transducers are placed in front
and back of the surface vehicle (Fig.(b)).
Thus the baseline is limited to the length of
the vehicle which limits the positional
accuracy of the AUV.
In this case, the transducers are widely
placed over the mission area on the
seabed. Localization is done by
triangulating the range estimated by
acoustic transducers. The major limitation
is the huge cost and time involved in
placing the transducers on the seabed.
Siddiqui et al. (2015) used LBL acoustic
ranging. Sound speed profile was shown
to affect acoustic localization and such
environmental parameters were
considered for effective path planning
One of the main advantages of AUVs is their ability to work
following a programmed route. There are several methods to follow
these routes, for example, using acoustic beacons on the seabed,
GPS location, baseline acoustic communication, inertial navigation.
It could be based on the combination of Conductivity, Depth and
Temperature (CDT) sensors, inertial sensors and Doppler Velocity
Logs (DVL). In contrast to gliders, that use a buoyancy engine and
follow a wavy path, AUVs are able to retain a linear route through
the sea. For this reason, these vehicles are suitable for geoscience
applications that require a constant altitude, such as seabed
mapping and sub-bottom profiling remotely, allowing tasks in a
remote area.
FEATURES OF APPLIED AUV SYSTEMS
Fig. 4. AUV Control unit block diagram.
• Autonomous Underwater Vehicles (AUVs) have a wide range of applications in various fields,
including oceanography, marine biology, and defense.
• In oceanography, AUVs are used to collect data on water temperature, salinity, and currents. This
information is crucial for understanding climate change and predicting weather patterns. In marine
biology, AUVs are used to study marine life and their habitats. For example, researchers use AUVs
to study coral reefs and monitor the health of fish populations. In defense, AUVs are used for tasks
such as mine detection and reconnaissance missions.
• Nowadays AUV is also applying in marine geoscience such as Submarine volcanism and
hydrothermal vents, Fluid-escape features and chemosynthetic ecosystems, Benthic habitat
mapping, Seafloor morphology associated with bedforms, scours and scarps
• AUVs are often used as survey platforms to map the seafloor or characterize physical, chemical, or
biological properties of the water. A large variety of AUVs are in existence, ranging from vehicles
weighing tens of kilograms, to vehicles weighing thousands of kilograms.
APPLICATIONS OF AUTONOMOUS UNDERWATER VEHICLES
Applications of AUV’s
Autonomous Surface Vehicles
• Designing and operating Autonomous Underwater Vehicles (AUVs) is not without its
challenges. One of the main issues faced by engineers is communication. Unlike
surface vessels, AUVs cannot rely on radio waves to transmit data, as water absorbs
radio waves quickly. To overcome this problem, researchers have developed acoustic
modems that use sound waves to communicate with the AUV.
• Another challenge is navigation. GPS signals do not penetrate water, so AUVs must
rely on other methods for navigation. These include inertial navigation systems, which
use accelerometers and gyroscopes to track the AUV's movement, and acoustic
positioning systems, which use sound waves to determine the AUV's location. Power
is also a major concern, as AUVs require a lot of energy to operate. To address this
issue, engineers are developing more efficient batteries and exploring alternative
power sources, such as fuel cells.
CHALLENGES OF AUTONOMOUS UNDERWATER VEHICLES
• As technology continues to advance at a rapid pace, the future of autonomous underwater vehicles
(AUVs) looks brighter than ever before. With the development of more advanced sensors, propulsion
systems, and artificial intelligence, AUVs are becoming more capable and versatile than ever before.
• In the coming years, we can expect to see AUVs being used for a wide range of applications beyond
their current uses in oceanography, marine biology, and defense. For example, AUVs could be used
for deep-sea mining, oil and gas exploration, and even search and rescue missions. The possibilities
are truly endless.
• Furthermore, with the increasing use of renewable energy sources, it is likely that AUVs will become
more environmentally friendly as well. We may see the use of solar or wind-powered AUVs in the near
future, which would greatly reduce their impact on the environment.
• Overall, the future of AUVs is incredibly exciting. As researchers and engineers continue to push the
boundaries of what is possible, we can expect to see these remarkable machines revolutionize the
way we explore and understand the world's oceans.
FUTURE OF AUTONOMOUS UNDERWATER VEHICLES
DISCUSSION AND FUTURE CHALLENGES
The instrumentation and measurement systems for AUVs are
not thoroughly studied in the literature. The main paradigms
to cover in AUVs include progress in routing, mapping sonar,
energy storage and drive systems. Non-linear mathematical
methods for the control units are beginning to be used to
cover the needs of new and advanced materials, e.g., “smart
materials” and vehicle shape and morphology, for modifying
hydrodynamic conditions using flexible hull with new
composite materials above mentioned, and modulating the
drag and mass qualities of the hull to get better control of the
vehicle’s forward speed. Management politics and legal
implications about AUVs are important requirements for
increasing the reliability of AUVs in the scientific sector due
to the high cost of equipment employed and the data
collected. This interest has generated several studies to
evaluate and manage the risk associated with AUV
improvements . The increasing use of AUVs will demand
updating in relation to legal matters and diplomatic
authorization. Probably these rules will be different for each
type of user, i.e., commercial, military or scientific research .
The legal definition of AUV generates many doubts
regarding the kind of vehicle classification. These
bureaucratic issues will become important in situations of
rescue, dangerous trajectories, incursions in unauthorized
areas,
Fig. 7: -. Possible timetable for the
development of AUV technology shows a
current state of continous research strategy for
the future economic return
Fig. 6: -Global AUV demand by sector 2011-2020
• In the last 15 years, AUVs have rapidly emerged as a vital tool for marine geoscientists, especially those
involved in seafloor mapping and monitoring. The ability of these vehicles to fly at relatively low altitude over
the seabed enables them to collect spatial data at far higher resolution than surface vessels, especially in
deep water. When used in conjunction with other platforms as part of a nested survey, a complete package of
regional vessel-based mapping, high-resolution targeted AUV survey, and ROV video ground-truthing and
sampling can be deployed. In addition to seafloor mapping, AUVs have been used to detect expelled
hydrothermal or cold seep fluids in the water column. Continued development of new vehicles and sensors will
increase the range of marine geoscience applications, while advances in artificial intelligence will increase
reliability and flexibility. AUVs are already capable of making decisions that allow them to avoid seafloor or
under-ice collisions, and increasingly these vehicles are developed with sufficient intelligence that they can
adapt their surveys according to changes in the environment they are monitoring, e.g. discovering a
hydrothermal . When combined with new drivers such as Marine Protected Area monitoring and site surveys
for offshore renewable installations, it is clear that AUVs will continue to play an increasingly important role in
the exploration and monitoring of the oceans
CONCLUSIONS
1) Abbasi, M., Danesh, M., Ghayour, M., Aug, 2010. A path fuzzy planner for autonomous underwater vehicles to avoid moving unknown obstacles. In: Proceedings of the
IEEE International Conference on Mechatronics and Automation, pp. 1264–1269.
2) Afzulpurkar, S, Maurya,P, Navelkar, G., Desa, E, Mascarenhas, A., Dabholkar, N., Madhan,R, Prabhudesai, S., Feb, 2015.Acoustic communication for Maya autonomous
underwater vehicle performance evaluation of acoustic modem.In: Proceedings of the IEEE International Conference on Underwater Technology.IEEE, pp. 1–6.
http://ieeexplore.ieee.org/document/7108327/
3) Armstrong, R.A., Singh, H., Torres, J., Nemeth, R.S., Can, A., Roman, C., Eustice, R., Riggs, L., Garcia-Moliner, G., 2006. Characterizing the deep insular shelf coral reef
habitat of the Hind Bank marine conservation district (US Virgin Islands) using the Seabed autonomous underwater vehicle. Continental Shelf Research 26, 194–205.
4) Baker, E.T., Walker, S.L., Embley, R.W., de Ronde, C.E.J., 2012. High-resolution hydrothermal mapping of Brothers Caldera, Kermadec Arc. Economic Geology 107, 1583–
1593.
5) Bellingham, J.G., Streitlien, K., Overland, J., Rajah, S., Stein, P., Stannard, J., Kirkwood, W., Yoerger, D., 2000. An Arctic Basin observational capability using AUVs.
Oceanography 13, 64–70
6) R. Danovaro, J. Aguzzi, E. Fanelli, D. Billett, et al., “An ecosystembased deep-ocean strategy,” Science, vol. 355, p. 452, 2017.
7) I. Belkin, J.B. de Sousa, J. Pinto, R. Mendes, and F. LópezCastejón, “Marine robotics exploration of a large-scale openocean front,” in Proc. 2018 IEEE/OES Autonomous
Underwater Vehicle Workshop (AUV),
8) X. Xiang, Z. Niu, L. Lapierre, and M. Zuo, “Hybrid underwater robotic vehicles: the state-of-the-art and future trends,” HKIE Trans.,vol. 22, pp. 103-116, 2015.
9) Segovia,M. Papaelias, and F. P. G. Márquez, “Optimal management of marine inspection with autonomous underwater vehicles,” in Proc. Conf. Management Science and
Management
10) G. Griffiths, Technology and Applications of Autonomous Underwater Vehicles, vol. 2. New York, NY, USA: CRC Press: 2002.
11) Y. Li, Y. Zhang, et al., “Marine wireless big data: Efficient transmission, related applications, and challenges,” IEEE Wireless Communications, vol. 25, no. 1, pp. 19–25,
2018.
12) M. Jahanbakht, W. Xiang, et al., “Internet of underwater things and big marine data analytics—a comprehensive survey,” IEEE Communications Surveys & Tutorials, vol. 23,
REFERENCES
THANK YOU
.

More Related Content

Similar to Autonomous Underwater Vehicles - Copy (3).pptx

The use of imagery in monitoring existing sub surface structures
The use of imagery in monitoring existing sub surface structuresThe use of imagery in monitoring existing sub surface structures
The use of imagery in monitoring existing sub surface structuresPeter McCready
 
Estimation of water momentum and propeller velocity in bow thruster model of...
Estimation of water momentum and propeller velocity in bow  thruster model of...Estimation of water momentum and propeller velocity in bow  thruster model of...
Estimation of water momentum and propeller velocity in bow thruster model of...IJECEIAES
 
Autonomous surface vessel for search and rescue operation
Autonomous surface vessel for search and rescue operationAutonomous surface vessel for search and rescue operation
Autonomous surface vessel for search and rescue operationjournalBEEI
 
IRJET- Unmanned Underwater Vehicle
IRJET- Unmanned Underwater VehicleIRJET- Unmanned Underwater Vehicle
IRJET- Unmanned Underwater VehicleIRJET Journal
 
Autonomous Underwater Vehicle (AUV)
Autonomous Underwater Vehicle (AUV)Autonomous Underwater Vehicle (AUV)
Autonomous Underwater Vehicle (AUV)Ahmed ElSheikh
 
Solar Based Autonomous Ship for Cleaning Garbage & Surveillance
Solar Based Autonomous Ship for Cleaning Garbage & SurveillanceSolar Based Autonomous Ship for Cleaning Garbage & Surveillance
Solar Based Autonomous Ship for Cleaning Garbage & Surveillanceijsrd.com
 
Underwater sensor network
Underwater sensor networkUnderwater sensor network
Underwater sensor networkfrestoadi
 
APACHE 4 AUTONOMOUS HYDROGRAPHIC SURVEY USV CALL/ WA 082119953499
APACHE 4 AUTONOMOUS HYDROGRAPHIC SURVEY USV CALL/ WA 082119953499APACHE 4 AUTONOMOUS HYDROGRAPHIC SURVEY USV CALL/ WA 082119953499
APACHE 4 AUTONOMOUS HYDROGRAPHIC SURVEY USV CALL/ WA 082119953499Budi anto
 
Underwater acoustic sensor networks (uw asn ) bibhudas
Underwater acoustic sensor networks (uw asn ) bibhudasUnderwater acoustic sensor networks (uw asn ) bibhudas
Underwater acoustic sensor networks (uw asn ) bibhudasBibhu Prasad Das
 
Dsp kit implementation of Kalman filter based sensor fused algorithm for atti...
Dsp kit implementation of Kalman filter based sensor fused algorithm for atti...Dsp kit implementation of Kalman filter based sensor fused algorithm for atti...
Dsp kit implementation of Kalman filter based sensor fused algorithm for atti...Zorays Solar Pakistan
 
Search forlifeoneuropa
Search forlifeoneuropaSearch forlifeoneuropa
Search forlifeoneuropaClifford Stone
 
IRJET-Conceptual Design of Locomotion Mechanism of an Amphibial Robot
IRJET-Conceptual Design of Locomotion Mechanism of an Amphibial RobotIRJET-Conceptual Design of Locomotion Mechanism of an Amphibial Robot
IRJET-Conceptual Design of Locomotion Mechanism of an Amphibial RobotIRJET Journal
 
Underwater Sensor wireless Network
Underwater Sensor wireless NetworkUnderwater Sensor wireless Network
Underwater Sensor wireless NetworkSunilPoddar7
 
Fredrick Ishengoma - A Novel Design of IEEE 802.15.4 and Solar Based Autonomo...
Fredrick Ishengoma - A Novel Design of IEEE 802.15.4 and Solar Based Autonomo...Fredrick Ishengoma - A Novel Design of IEEE 802.15.4 and Solar Based Autonomo...
Fredrick Ishengoma - A Novel Design of IEEE 802.15.4 and Solar Based Autonomo...Fredrick Ishengoma
 
The book of abstracts uav4
The book of abstracts uav4The book of abstracts uav4
The book of abstracts uav4mirijovsky
 
Auv launch and recovery from us navy ships wpics compressed - color
Auv launch and recovery from us navy ships wpics   compressed - colorAuv launch and recovery from us navy ships wpics   compressed - color
Auv launch and recovery from us navy ships wpics compressed - colorCory Treffiletti
 

Similar to Autonomous Underwater Vehicles - Copy (3).pptx (20)

I010345361
I010345361I010345361
I010345361
 
The use of imagery in monitoring existing sub surface structures
The use of imagery in monitoring existing sub surface structuresThe use of imagery in monitoring existing sub surface structures
The use of imagery in monitoring existing sub surface structures
 
Estimation of water momentum and propeller velocity in bow thruster model of...
Estimation of water momentum and propeller velocity in bow  thruster model of...Estimation of water momentum and propeller velocity in bow  thruster model of...
Estimation of water momentum and propeller velocity in bow thruster model of...
 
AUV
AUVAUV
AUV
 
Autonomous surface vessel for search and rescue operation
Autonomous surface vessel for search and rescue operationAutonomous surface vessel for search and rescue operation
Autonomous surface vessel for search and rescue operation
 
IRJET- Unmanned Underwater Vehicle
IRJET- Unmanned Underwater VehicleIRJET- Unmanned Underwater Vehicle
IRJET- Unmanned Underwater Vehicle
 
Autonomous Underwater Vehicle (AUV)
Autonomous Underwater Vehicle (AUV)Autonomous Underwater Vehicle (AUV)
Autonomous Underwater Vehicle (AUV)
 
ADROIT_IJAERD
ADROIT_IJAERDADROIT_IJAERD
ADROIT_IJAERD
 
Solar Based Autonomous Ship for Cleaning Garbage & Surveillance
Solar Based Autonomous Ship for Cleaning Garbage & SurveillanceSolar Based Autonomous Ship for Cleaning Garbage & Surveillance
Solar Based Autonomous Ship for Cleaning Garbage & Surveillance
 
Underwater sensor network
Underwater sensor networkUnderwater sensor network
Underwater sensor network
 
APACHE 4 AUTONOMOUS HYDROGRAPHIC SURVEY USV CALL/ WA 082119953499
APACHE 4 AUTONOMOUS HYDROGRAPHIC SURVEY USV CALL/ WA 082119953499APACHE 4 AUTONOMOUS HYDROGRAPHIC SURVEY USV CALL/ WA 082119953499
APACHE 4 AUTONOMOUS HYDROGRAPHIC SURVEY USV CALL/ WA 082119953499
 
Underwater acoustic sensor networks (uw asn ) bibhudas
Underwater acoustic sensor networks (uw asn ) bibhudasUnderwater acoustic sensor networks (uw asn ) bibhudas
Underwater acoustic sensor networks (uw asn ) bibhudas
 
Dsp kit implementation of Kalman filter based sensor fused algorithm for atti...
Dsp kit implementation of Kalman filter based sensor fused algorithm for atti...Dsp kit implementation of Kalman filter based sensor fused algorithm for atti...
Dsp kit implementation of Kalman filter based sensor fused algorithm for atti...
 
Search forlifeoneuropa
Search forlifeoneuropaSearch forlifeoneuropa
Search forlifeoneuropa
 
IRJET-Conceptual Design of Locomotion Mechanism of an Amphibial Robot
IRJET-Conceptual Design of Locomotion Mechanism of an Amphibial RobotIRJET-Conceptual Design of Locomotion Mechanism of an Amphibial Robot
IRJET-Conceptual Design of Locomotion Mechanism of an Amphibial Robot
 
Underwater Sensor wireless Network
Underwater Sensor wireless NetworkUnderwater Sensor wireless Network
Underwater Sensor wireless Network
 
Fredrick Ishengoma - A Novel Design of IEEE 802.15.4 and Solar Based Autonomo...
Fredrick Ishengoma - A Novel Design of IEEE 802.15.4 and Solar Based Autonomo...Fredrick Ishengoma - A Novel Design of IEEE 802.15.4 and Solar Based Autonomo...
Fredrick Ishengoma - A Novel Design of IEEE 802.15.4 and Solar Based Autonomo...
 
The book of abstracts uav4
The book of abstracts uav4The book of abstracts uav4
The book of abstracts uav4
 
Underwater Robotics
Underwater RoboticsUnderwater Robotics
Underwater Robotics
 
Auv launch and recovery from us navy ships wpics compressed - color
Auv launch and recovery from us navy ships wpics   compressed - colorAuv launch and recovery from us navy ships wpics   compressed - color
Auv launch and recovery from us navy ships wpics compressed - color
 

Recently uploaded

Coefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptxCoefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptxAsutosh Ranjan
 
Analog to Digital and Digital to Analog Converter
Analog to Digital and Digital to Analog ConverterAnalog to Digital and Digital to Analog Converter
Analog to Digital and Digital to Analog ConverterAbhinavSharma374939
 
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IVHARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IVRajaP95
 
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...Christo Ananth
 
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINEMANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINESIVASHANKAR N
 
Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024hassan khalil
 
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...ranjana rawat
 
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝soniya singh
 
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...srsj9000
 
Processing & Properties of Floor and Wall Tiles.pptx
Processing & Properties of Floor and Wall Tiles.pptxProcessing & Properties of Floor and Wall Tiles.pptx
Processing & Properties of Floor and Wall Tiles.pptxpranjaldaimarysona
 
(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...ranjana rawat
 
chaitra-1.pptx fake news detection using machine learning
chaitra-1.pptx  fake news detection using machine learningchaitra-1.pptx  fake news detection using machine learning
chaitra-1.pptx fake news detection using machine learningmisbanausheenparvam
 
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLSMANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLSSIVASHANKAR N
 
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur Escorts
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur EscortsCall Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur Escorts
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur EscortsCall Girls in Nagpur High Profile
 
Call Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile serviceCall Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile servicerehmti665
 
(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...
(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...
(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...ranjana rawat
 
the ladakh protest in leh ladakh 2024 sonam wangchuk.pptx
the ladakh protest in leh ladakh 2024 sonam wangchuk.pptxthe ladakh protest in leh ladakh 2024 sonam wangchuk.pptx
the ladakh protest in leh ladakh 2024 sonam wangchuk.pptxhumanexperienceaaa
 
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur EscortsHigh Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escortsranjana rawat
 
Extrusion Processes and Their Limitations
Extrusion Processes and Their LimitationsExtrusion Processes and Their Limitations
Extrusion Processes and Their Limitations120cr0395
 

Recently uploaded (20)

Coefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptxCoefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptx
 
Analog to Digital and Digital to Analog Converter
Analog to Digital and Digital to Analog ConverterAnalog to Digital and Digital to Analog Converter
Analog to Digital and Digital to Analog Converter
 
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IVHARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
 
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...
 
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINEMANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
 
Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024
 
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
 
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
 
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
 
Processing & Properties of Floor and Wall Tiles.pptx
Processing & Properties of Floor and Wall Tiles.pptxProcessing & Properties of Floor and Wall Tiles.pptx
Processing & Properties of Floor and Wall Tiles.pptx
 
(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
 
chaitra-1.pptx fake news detection using machine learning
chaitra-1.pptx  fake news detection using machine learningchaitra-1.pptx  fake news detection using machine learning
chaitra-1.pptx fake news detection using machine learning
 
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLSMANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
 
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur Escorts
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur EscortsCall Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur Escorts
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur Escorts
 
Call Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile serviceCall Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile service
 
(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...
(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...
(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...
 
the ladakh protest in leh ladakh 2024 sonam wangchuk.pptx
the ladakh protest in leh ladakh 2024 sonam wangchuk.pptxthe ladakh protest in leh ladakh 2024 sonam wangchuk.pptx
the ladakh protest in leh ladakh 2024 sonam wangchuk.pptx
 
DJARUM4D - SLOT GACOR ONLINE | SLOT DEMO ONLINE
DJARUM4D - SLOT GACOR ONLINE | SLOT DEMO ONLINEDJARUM4D - SLOT GACOR ONLINE | SLOT DEMO ONLINE
DJARUM4D - SLOT GACOR ONLINE | SLOT DEMO ONLINE
 
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur EscortsHigh Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
 
Extrusion Processes and Their Limitations
Extrusion Processes and Their LimitationsExtrusion Processes and Their Limitations
Extrusion Processes and Their Limitations
 

Autonomous Underwater Vehicles - Copy (3).pptx

  • 1. PRESENTATION ON AUTONOMOUS UNDERWATER VEHICLES Presented By ANIMESH MAHATA Class Roll No. 002010801007 B.E. (IV) ELECTRICAL ENGINEERING Supervisor Name Prof. Amitava Chatterjee Prof. Gautam Sarkar Prof. Mitta Dutta JADAVPUR UNIVERSITY
  • 3. . ---: Diving into the Future :--- The Rise of Autonomous Underwater Vehicles
  • 4. CONTENTS • Introduction • What are Autonomous Underwater Vehicles? • AUV’s Structure • Functional Classification • Features of Applied AUV Systems • Applications of Autonomous Underwater Vehicles • Challenges of Autonomous Underwater Vehicles • Future of Autonomous Underwater Vehicles • Discussion and Future Challenges • Conclusions • References
  • 5. INTRODUCTION • The vastness of our oceans has always been a source of mystery and intrigue for humans. But with over 80% of the ocean floor unexplored, how can we possibly uncover its secrets? This is where Autonomous Underwater Vehicles, or AUVs, come in. • AUVs are robotic vehicles that can operate underwater without human intervention. They use advanced technology to navigate the ocean depths, collecting data and images that were previously inaccessible to us. From studying marine life to mapping the ocean floor, AUVs are revolutionizing the way we explore and understand our planet's last frontier.
  • 6. WHAT ARE AUTONOMOUS UNDERWATER VEHICLES?  Autonomous Underwater Vehicles, or AUVs, are unmanned vehicles that can operate underwater without human intervention. AUVs have been around since the 1950s, but it wasn't until the 1990s that advancements in technology made them more practical and cost-effective.  A typical AUV consists of a computer, sensors, propulsion system, and power supply. The computer controls the AUV's movements and collects data from the sensors, which can include cameras, sonar, and other instruments. The propulsion system allows the AUV to move through the water, and the power supply provides energy for the AUV's systems. AUVs can be programmed to follow a specific path or to operate autonomously, making decisions based on the data they collect.
  • 7.  The body structure of AUV is an important element as it safely houses all the mechanical and the electronic components in a watertight enclosure. The shape of the AUV also affects the dynamics of motion because of the fluid- structure interaction with the surrounding water. Inspired from submarines, AUVs are generally torpedo shaped  Apart from these artificial structures, AUVs have taken inspiration from nature and mimicked aquatic animals. In addition to exploration and other underwater applications, these bio-mimetic AUVs can seamlessly integrate to the marine environment to study and understand the aquatic life without disturbing them. Fish robots are most popular among the bio-mimetic AUVs  AUVs have also been developed which mimic other aquatic animals such as snake, turtle, beetle and crab etc. AUV’S STRUCTURE Typical structure of an AUV. Design of the MBARI mapping AUV
  • 8. AUV’S STRUCTURE AUVs nowadays are adapting modular design in the body structure. The whole AUV is a combination of different modules such as propulsion, sensor modules which can be easily and quickly replaced in case of a failure as well as can be interchanged with different modules according to the mission requirements. Such modular AUVs are highly versatile and incur less maintenance cost. ‘AUV-150’ , ‘MAYA’, ‘STARFISH’, ‘Bluefin21’, ‘SPARUS II’, ‘FOLAGA’, ‘MARTA are examples of some modular AUVs’. Fig. 1. (a)“REMUS-6000” (c)“U-CAT” Fig:-2 (b)“Bluefin-21” (d) Kawasaki AUV Fig. 2. Robotic fish “ichthus” Fig. 3. Soft robotic fish “Sofi” Fig:-4 Fig:-3 Fig:-1 Fig:-2
  • 9. . FUNCTIONAL CLASSIFICATION Functional Classification of AUV’s According to their Functionality: Propulsion or Drive System Power Sources: Navigation and Positioning Systems: Mapping and Sampling Systems
  • 10. Propulsion or Drive System Power Sources Navigation and Positioning Systems: Mapping and Sampling Systems Different systems and elements are used to impulse the vehicle, e.g., regarding to the steering rotor and propeller issues, with multiple shapes and materials in the market nowadays. An appropriate propulsion system is set according to the vehicle morphology and use. It is studied by aerodynamics and fluid mechanics scientists, taking into account the hull shape, where its design will be relevant for the correct effectivity of the vehicle. There is some research about the optimization of the trajectory control and propulsion systems, using different mathematical and algorithmic advances related to the vectorial positioning of the vehicles, studying velocity and yaw components to improve AUV mission autonomy. AUVSIPRO is a simulation software developed for performance prediction with different propulsion system configurations, providing an effective method for the hull hydrodynamic study. The most common warehouse and storage methods are the standard commercial batteries developed, e.g., magnesium-seawater battery, a pressure tolerant Li-ion battery and an aluminum-hydrogen peroxide (Al/ H2O2) semi fuel cell, where different types of them, e.g., alkaline cell or fuel cell, are used depending on the function of buoyancy changes, system simplicity or depth requirements. There are novel energy sources under research now, e.g., based on hydrogen fuel cells or the combination of the afore mentioned systems, using the renewable energies of special interest. These vehicles work in large offshore areas and need proper systems and methods to guide their trajectories. It is important to have reliable navigation and positioning for underwater surveys. AUV navigation and localization techniques can be divided according to three categories: Acoustic transponders and modems; Inertial/dead reckoning and; Geophysical techniques. They consist of hardware and software architecture systems, e.g., the well- known Extended Kalman Filter range-only localization and light beacons algorithmic combinations They monitor different areas or the seabed by generating 2-D and 3-D operational maps employed in multiple applications, e.g., sonar technologies. The main and current sensors used for this issue are detailed in Table 1. The optical cameras often employ LED illumination due to the darkness present in submarine work, allowing a wide range light condition. The information collected by these systems can be transferred to audiovisual documents, providing real time remote exploration in some cases, employing techniques as submarine image processing approaches, e.g., image de- scattering process, image high definition assessments and image color restoration. The number of studies about the optical capture and camera systems is rising due to the importance of graphical documents for maintenance works.
  • 11. Table 1 – Summary of navigation and mapping embedded systems in AUV for Underwater Offshore Inspections Application System Sensor Technology Features Navigation CTD/Sonde Geophysical sensor Different simple and single sensors that properly configured and assembled, can form a functional block like tracking and positioning applications. Gyroscope Geophysical sensor Magnetometers Geophysical sensor Accelerometer Inertial sensor Barometer/Pressure Sensor Inertial sensor Doppler Velocity Log (DVL) Inertial sensor Measure the velocity of the AUV with respect to the ground. The position estimation accuracy can improve greatly by Kalman filter. DVL will consist of 4 or more beams Baseline (Long/Ultra Short) Beacon (Acoustic) They can provide a complete ubication information of the AUV, however, these methods could present information delay and low measurement accuracy, producing stability errors. Mapping Sidescan Imaging Type Sonar (Acoustic) Intensity of returns measure to originate 2D seabed image. Beams are directed perpendicular to route direction. Phase correlation and preprocessing methods have been used to improve the system. Multibeam echosounders Rating Type Sonar (Acoustic) Improving the single beam,obtaining a full coverage measurement in the area, wide range,high sensitivity and broadband response with high sensitivity.Work with time from returns form bathymetric maps. Subbottom Profilers Rating Type Sonar (Acoustic) Low frequency echosounders that investigate the seafloor. Forward Look Imaging Type Sonar (Acoustic) Similar method to a side-scan sonar, but with directed forward beams. Recent studies use this method combining with convolutional neural networks for objects detection. Camera Geophysical sensor (Optical Optical graphics capturing and imaging processing. Relevant method for biological and geological surveys.
  • 12. Acoustic navigation (a)Usbl (b)SBL (c)LBL. Ultra-Short Baseline(USBL) Short Baseline(SBL) Long Baseline(LBL) AUV is localized relative to a surface vehicle fitted with an array of acoustic transducers (Fig.(a)). Relative distance is calculated from the time of travel of the acoustic signal and direction from the phase difference of the signal received by different transducers. Here the transducers are placed close to one-another Here the transducers are placed in front and back of the surface vehicle (Fig.(b)). Thus the baseline is limited to the length of the vehicle which limits the positional accuracy of the AUV. In this case, the transducers are widely placed over the mission area on the seabed. Localization is done by triangulating the range estimated by acoustic transducers. The major limitation is the huge cost and time involved in placing the transducers on the seabed. Siddiqui et al. (2015) used LBL acoustic ranging. Sound speed profile was shown to affect acoustic localization and such environmental parameters were considered for effective path planning
  • 13. One of the main advantages of AUVs is their ability to work following a programmed route. There are several methods to follow these routes, for example, using acoustic beacons on the seabed, GPS location, baseline acoustic communication, inertial navigation. It could be based on the combination of Conductivity, Depth and Temperature (CDT) sensors, inertial sensors and Doppler Velocity Logs (DVL). In contrast to gliders, that use a buoyancy engine and follow a wavy path, AUVs are able to retain a linear route through the sea. For this reason, these vehicles are suitable for geoscience applications that require a constant altitude, such as seabed mapping and sub-bottom profiling remotely, allowing tasks in a remote area. FEATURES OF APPLIED AUV SYSTEMS Fig. 4. AUV Control unit block diagram.
  • 14. • Autonomous Underwater Vehicles (AUVs) have a wide range of applications in various fields, including oceanography, marine biology, and defense. • In oceanography, AUVs are used to collect data on water temperature, salinity, and currents. This information is crucial for understanding climate change and predicting weather patterns. In marine biology, AUVs are used to study marine life and their habitats. For example, researchers use AUVs to study coral reefs and monitor the health of fish populations. In defense, AUVs are used for tasks such as mine detection and reconnaissance missions. • Nowadays AUV is also applying in marine geoscience such as Submarine volcanism and hydrothermal vents, Fluid-escape features and chemosynthetic ecosystems, Benthic habitat mapping, Seafloor morphology associated with bedforms, scours and scarps • AUVs are often used as survey platforms to map the seafloor or characterize physical, chemical, or biological properties of the water. A large variety of AUVs are in existence, ranging from vehicles weighing tens of kilograms, to vehicles weighing thousands of kilograms. APPLICATIONS OF AUTONOMOUS UNDERWATER VEHICLES
  • 17. • Designing and operating Autonomous Underwater Vehicles (AUVs) is not without its challenges. One of the main issues faced by engineers is communication. Unlike surface vessels, AUVs cannot rely on radio waves to transmit data, as water absorbs radio waves quickly. To overcome this problem, researchers have developed acoustic modems that use sound waves to communicate with the AUV. • Another challenge is navigation. GPS signals do not penetrate water, so AUVs must rely on other methods for navigation. These include inertial navigation systems, which use accelerometers and gyroscopes to track the AUV's movement, and acoustic positioning systems, which use sound waves to determine the AUV's location. Power is also a major concern, as AUVs require a lot of energy to operate. To address this issue, engineers are developing more efficient batteries and exploring alternative power sources, such as fuel cells. CHALLENGES OF AUTONOMOUS UNDERWATER VEHICLES
  • 18. • As technology continues to advance at a rapid pace, the future of autonomous underwater vehicles (AUVs) looks brighter than ever before. With the development of more advanced sensors, propulsion systems, and artificial intelligence, AUVs are becoming more capable and versatile than ever before. • In the coming years, we can expect to see AUVs being used for a wide range of applications beyond their current uses in oceanography, marine biology, and defense. For example, AUVs could be used for deep-sea mining, oil and gas exploration, and even search and rescue missions. The possibilities are truly endless. • Furthermore, with the increasing use of renewable energy sources, it is likely that AUVs will become more environmentally friendly as well. We may see the use of solar or wind-powered AUVs in the near future, which would greatly reduce their impact on the environment. • Overall, the future of AUVs is incredibly exciting. As researchers and engineers continue to push the boundaries of what is possible, we can expect to see these remarkable machines revolutionize the way we explore and understand the world's oceans. FUTURE OF AUTONOMOUS UNDERWATER VEHICLES
  • 19. DISCUSSION AND FUTURE CHALLENGES The instrumentation and measurement systems for AUVs are not thoroughly studied in the literature. The main paradigms to cover in AUVs include progress in routing, mapping sonar, energy storage and drive systems. Non-linear mathematical methods for the control units are beginning to be used to cover the needs of new and advanced materials, e.g., “smart materials” and vehicle shape and morphology, for modifying hydrodynamic conditions using flexible hull with new composite materials above mentioned, and modulating the drag and mass qualities of the hull to get better control of the vehicle’s forward speed. Management politics and legal implications about AUVs are important requirements for increasing the reliability of AUVs in the scientific sector due to the high cost of equipment employed and the data collected. This interest has generated several studies to evaluate and manage the risk associated with AUV improvements . The increasing use of AUVs will demand updating in relation to legal matters and diplomatic authorization. Probably these rules will be different for each type of user, i.e., commercial, military or scientific research . The legal definition of AUV generates many doubts regarding the kind of vehicle classification. These bureaucratic issues will become important in situations of rescue, dangerous trajectories, incursions in unauthorized areas, Fig. 7: -. Possible timetable for the development of AUV technology shows a current state of continous research strategy for the future economic return Fig. 6: -Global AUV demand by sector 2011-2020
  • 20. • In the last 15 years, AUVs have rapidly emerged as a vital tool for marine geoscientists, especially those involved in seafloor mapping and monitoring. The ability of these vehicles to fly at relatively low altitude over the seabed enables them to collect spatial data at far higher resolution than surface vessels, especially in deep water. When used in conjunction with other platforms as part of a nested survey, a complete package of regional vessel-based mapping, high-resolution targeted AUV survey, and ROV video ground-truthing and sampling can be deployed. In addition to seafloor mapping, AUVs have been used to detect expelled hydrothermal or cold seep fluids in the water column. Continued development of new vehicles and sensors will increase the range of marine geoscience applications, while advances in artificial intelligence will increase reliability and flexibility. AUVs are already capable of making decisions that allow them to avoid seafloor or under-ice collisions, and increasingly these vehicles are developed with sufficient intelligence that they can adapt their surveys according to changes in the environment they are monitoring, e.g. discovering a hydrothermal . When combined with new drivers such as Marine Protected Area monitoring and site surveys for offshore renewable installations, it is clear that AUVs will continue to play an increasingly important role in the exploration and monitoring of the oceans CONCLUSIONS
  • 21. 1) Abbasi, M., Danesh, M., Ghayour, M., Aug, 2010. A path fuzzy planner for autonomous underwater vehicles to avoid moving unknown obstacles. In: Proceedings of the IEEE International Conference on Mechatronics and Automation, pp. 1264–1269. 2) Afzulpurkar, S, Maurya,P, Navelkar, G., Desa, E, Mascarenhas, A., Dabholkar, N., Madhan,R, Prabhudesai, S., Feb, 2015.Acoustic communication for Maya autonomous underwater vehicle performance evaluation of acoustic modem.In: Proceedings of the IEEE International Conference on Underwater Technology.IEEE, pp. 1–6. http://ieeexplore.ieee.org/document/7108327/ 3) Armstrong, R.A., Singh, H., Torres, J., Nemeth, R.S., Can, A., Roman, C., Eustice, R., Riggs, L., Garcia-Moliner, G., 2006. Characterizing the deep insular shelf coral reef habitat of the Hind Bank marine conservation district (US Virgin Islands) using the Seabed autonomous underwater vehicle. Continental Shelf Research 26, 194–205. 4) Baker, E.T., Walker, S.L., Embley, R.W., de Ronde, C.E.J., 2012. High-resolution hydrothermal mapping of Brothers Caldera, Kermadec Arc. Economic Geology 107, 1583– 1593. 5) Bellingham, J.G., Streitlien, K., Overland, J., Rajah, S., Stein, P., Stannard, J., Kirkwood, W., Yoerger, D., 2000. An Arctic Basin observational capability using AUVs. Oceanography 13, 64–70 6) R. Danovaro, J. Aguzzi, E. Fanelli, D. Billett, et al., “An ecosystembased deep-ocean strategy,” Science, vol. 355, p. 452, 2017. 7) I. Belkin, J.B. de Sousa, J. Pinto, R. Mendes, and F. LópezCastejón, “Marine robotics exploration of a large-scale openocean front,” in Proc. 2018 IEEE/OES Autonomous Underwater Vehicle Workshop (AUV), 8) X. Xiang, Z. Niu, L. Lapierre, and M. Zuo, “Hybrid underwater robotic vehicles: the state-of-the-art and future trends,” HKIE Trans.,vol. 22, pp. 103-116, 2015. 9) Segovia,M. Papaelias, and F. P. G. Márquez, “Optimal management of marine inspection with autonomous underwater vehicles,” in Proc. Conf. Management Science and Management 10) G. Griffiths, Technology and Applications of Autonomous Underwater Vehicles, vol. 2. New York, NY, USA: CRC Press: 2002. 11) Y. Li, Y. Zhang, et al., “Marine wireless big data: Efficient transmission, related applications, and challenges,” IEEE Wireless Communications, vol. 25, no. 1, pp. 19–25, 2018. 12) M. Jahanbakht, W. Xiang, et al., “Internet of underwater things and big marine data analytics—a comprehensive survey,” IEEE Communications Surveys & Tutorials, vol. 23, REFERENCES