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Smart Industry No.1 2022

Smart Industry No.1 2022 - The IoT Business Magazine - powered by Avnet Silica

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Light detection and ranging<br />

(Lidar) is a remote sensing<br />

method that uses pulsed laser<br />

light to measure ranges<br />

(variable distances). Similar to its<br />

close cousins, radar using radio<br />

waves and sonar emitting sound<br />

waves under water, Lidar uses laser<br />

light to accurately measure ranges<br />

(distances) – something that is critical<br />

for many sectors and industrial<br />

processes.<br />

Theoretically, measurement can be<br />

performed using other technologies,<br />

but Lidar has multiple advantages<br />

over them. For example, it has<br />

a higher resolution than radar and<br />

a wider range than camera sensors<br />

and can even perform in the dark.<br />

Furthermore, Lidar produces 3D<br />

data and can detect and differentiate<br />

objects. As a result, it can be used<br />

to track objects, detect physical protrusions<br />

and survey landscapes.<br />

Measuring carbon dioxide, sulfur<br />

dioxide and methane in the air or<br />

water can also be achieved with<br />

Lidar, making it ideal for things like<br />

geographical surveys, autonomous<br />

driving, industrial applications and<br />

logistics.<br />

source ©: NOAA<br />

The Face of the Earth<br />

Geographical surveys are not just<br />

for mapping mineral and water<br />

resources, they have been used to<br />

map zones prone to earthquakes,<br />

tsunamis, landslides, flooding and<br />

volcanic activity to deal with potential<br />

disasters. In addition, coastlines<br />

need to be surveyed for effective<br />

management and planning for<br />

navigational, environmental and<br />

homeland security purposes.<br />

As global warming raises sea levels<br />

and causes extreme weather events<br />

like enormous floods and droughts,<br />

high-resolution geographical surveys<br />

will be crucial for monitoring<br />

the effects of global warming, such<br />

as coastline erosion. This information<br />

can help governments to devise<br />

coping strategies, such as safe<br />

and responsible land use and emergency<br />

preparedness, to protect civilian<br />

lives and marine wildlife.<br />

The National Oceanic and Atmospheric<br />

Administration (NOAA), an<br />

agency primarily responsible for<br />

mapping US shorelines, sought to<br />

increase the efficiency and reduce<br />

the subjectivity of older technologies,<br />

such as tide coordinated aerial<br />

photography. Data collection in intertidal<br />

zones was also poor because<br />

these areas are too shallow for<br />

survey vessels to approach safely.<br />

NOAA now uses airplanes and helicopters<br />

equipped with two types of<br />

Lidar: topographic and bathymetric.<br />

Topographic Lidar typically uses a<br />

near-infrared laser to map the land,<br />

while bathymetric Lidar uses waterpenetrating<br />

green light to measure<br />

seafloor and riverbed elevations.<br />

Lidar is helping<br />

us understand<br />

sea-level rises<br />

and coastal<br />

flooding/inundation<br />

impacts,<br />

and marine life<br />

habitat mapping.<br />

Stephen White<br />

NOAA<br />

National Ocean Service<br />

Monitoring<br />

the Warming<br />

A view looking northeast<br />

from Virginia Key<br />

shows the topobathymetric<br />

surface of the<br />

intertidal zone near<br />

Fisher Island. This<br />

image was created<br />

from the LiDAR bare<br />

earth model colored<br />

by elevation.<br />

The two images can be combined to<br />

produce a single ‘topobathymetric’<br />

image of the coastal area.<br />

Driving Force<br />

How do we make sure autonomous<br />

cars and trucks pay proper attention<br />

and avoid disasters in near<br />

darkness, pouring rain, heavy snow<br />

or on a winding road?<br />

Lidar’s high speed and accuracy enable<br />

distant object detection on a<br />

moving vehicle, even in low light.<br />

This makes it a powerful technology<br />

for advanced driver-assistance<br />

systems (ADAS) in drones and vehicles.<br />

It performs less well in heavy<br />

rain and snow or in fog but work is<br />

in progress to find ways to improve<br />

its reliability in all but the worst conditions.<br />

Earlier Lidar technologies were<br />

typically used in applications with<br />

a high tolerance for failure. In contrast,<br />

the bar is much higher for<br />

safety, accuracy, and reliability<br />

when using it in autonomous vehicles.<br />

Products need to be designed<br />

from scratch to meet the 3D sensing<br />

requirements of automotive active<br />

safety systems, ADAS implementations<br />

and autonomous vehicles. In<br />

addition, solutions must be small<br />

and unobtrusive which is a challenge<br />

for Lidar.<br />

83<br />

source ©: NOAA

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