Pothole Dection Syatem in Vehicle
128
Retrieval Number: 100.1/ijitee.H92490610821
DOI: 10.35940/ijitee.H9249.0610821
Journal Website: www.ijitee.org
Published By:
Blue Eyes Intelligence Engineering
and Sciences Publication
© Copyright: All rights reserved.
Kim, Taehyeong., et al (2014)
[4]
says that potholes, as one
sort of pavement distress, are key indications suggesting
structural problems in the asphalt road, and diagnosing these
potholes effectively is one of the most significant
responsibilities for defining effective asphalt-surfaced
pavement maintenance and repair procedures. Manually
discovering and evaluating methods, on the other hand, is
costly and time-consuming. As a result, many efforts have
been made to build technology that can automatically detect
and recognize potholes, which could help increase survey
efficiency and pavement condition by allowing for early
detection and action. In this paper, we research and assess
existing pothole detection methods, as well as suggest a
potential approach for building a pothole detection system
that is both accurate and efficient.
Koch.,et al (2011)
[5]
says that when creating road network
maintenance strategies, it is critical to examine the condition
of the pavement. The data collection method is automated to a
significant extent in practice. However, most pavement
distress identification (cracks, potholes, etc.) is done
manually, which is time-consuming and labor-intensive.
Existing methods rely on either complete 3D surface
reconstruction, which requires expensive equipment and
computation, or acceleration data, which can only offer
preliminary and rough condition surveys. We offer a method
for automatically detecting potholes in asphalt pavement
photos in this research. Using histogram shape-based
thresholding, an image is initially divided into a defect and
non-defect regions in the proposed technique. Using
morphological thinning and elliptic regression, the probable
pothole shape is calculated based on the geometric features of
a defect zone. Following that, the texture of a potential defect
form is extracted and compared to the texture of the
surrounding non-defect pavement to see if the region of
interest is actually a pothole. This algorithm has been taught
and validated on 120 pavement photos using a MATLAB
prototype.
Louis, Leo (2016)
[6]
says that this study describes an
ultrasonic sensor that can measure the distance between
chosen places on a vehicle and the ground. The sensor is
based on the detection of an ultrasonic pulse's time of flight as
it is reflected by the ground. To create reflected pulses that
can be easily detected using a threshold comparator, a limited
optimization methodology is used. A sub-wavelength
detection may be produced using this technology, which takes
into account the frequency response of the ultrasonic
transducers. Experiments with a 40 kHz
piezoelectric-transducer-based sensor revealed a typical
uncertainty of 1 mm at rest or at low speeds; the sensor can
still work at speeds up to 30 m/s, but with a larger level of
uncertainty. The sensor is made up of only low-cost
components, making it suitable for use as first-car equipment
in many circumstances, and it can self-adapt to various
conditions to provide the optimum results.
Palanivel, N., et al
[7]
says about road upkeep is one of the
biggest issues in developing countries. Well-maintained roads
contribute significantly to the economy of the country. The
detection of pavement distress, such as potholes and humps,
not only aids drivers in avoiding accidents and car damage but
also aids authorities in road maintenance. This study reviews
prior pothole detection technologies and provides a
cost-effective technique for detecting potholes and humps on
roadways and alerting drivers in time to avert accidents or
vehicle damage. Potholes and humps are detected using
ultrasonic sensors, which can also be used to assess their
depth and height.
RenugaDevi, S., et al (2021)
[8]
says that today's world,
the majority of mishaps are caused by borewells that have
been left open, trapping countless youngsters. For many
children, the borewells are a living horror. Most of the
innocent lives have been ruined by these borewells. The
method of rescuing the children from the borewells is quite
challenging. We must prevent children from slipping into
borewells to avert this dangerous catastrophe. We came up
with the concept to take precautions to spare the lives of
numerous infants. The system's main goal is to place a Drone
camera in a remote location and use it to locate any uncovered
borewells. Following the discovery of borewells, we must
determine whether the hole is a normal hole or a depth
pothole. So, to detect the size of a hole, we mounted an
ultrasonic sensor on the drone's bottom to recognize potholes
as well as to measure the height and depth of a bore well. If the
bore well's depth and height are significant, information will
be sent to the appropriate officials so that the bore well can be
appropriately closed. These particulars will be uploaded to
the cloud to keep the information up to date. As a result, we
can prevent a large number of youngsters from drowning in
borewells.
Rode, Sudarshan S., et al (2007)
[9]
This position paper
proposes a revolutionary Pothole Detection System that helps
drivers avoid potholes on the road by providing advance
warnings. The architectural design also presents a solution to
this problem with a short response time, low maintenance, and
inexpensive deployment costs. The challenges caused by
traffic congestion throughout the world, as well as a synergy
of new information technologies for simulation, real-time
control, and communications networks, have sparked interest
in Intelligent Vehicle Systems. Worsening road conditions are
one of the growing difficulties that roadways face. Rain, oil
spills, road accidents, and wear and tear are just some of the
factors that make driving on the road tough. Also, while
driving at night, the driver may not be able to rely solely on
the headlights for support. Unexpected roadblocks may result
in more accidents. Gasoline consumption of the vehicle also
increases as a result of poor road conditions, resulting in
waste of valuable fuel. For all of these reasons, it is critical to
obtain information about hazardous road conditions, collect
that information, and disseminate it to vehicles, which can
then alert the driver.
Sharma ., et al (2020)
[10]
providing commuters with a
smooth road infrastructure necessitates road surface
monitoring. Using an ultrasonic sensor and image processing
approach, this paper proposed an efficient road surface
monitoring system. A revolutionary cost-effective system was
created and suggested, which incorporates ultrasonic sensors
sensing with GPS for the identification of road surface
characteristics. To increase the classification and accuracy of
road surface detecting circumstances, the dynamic time
warping (DTW) methodology was used with ultrasonic
sensors. HANUMAN is a revolutionary algorithm for
automatically detecting and calculating potholes and speed
bumps.