According to global status report 2018, over 1.35 million people die in accidents every year. Human error and negligence are the two primary reasons for the casualties. Hence the premise for a long-term plan to construct precise autonomous vehicles.

In the field of autonomous driving, there has been a substantial patent filling. Nearly 22,000 inventions related to self-driven automobiles were patented around the world. It is expected that self-driving cars (also known as autonomous cars) will be the next big development and that full-driverless vehicles will be out and about as quickly as 2020. The global self-driving market is projected to reach $42 billion by 2025.

What is LiDAR?

LiDAR is a survey technique that measures distance to a destination by illuminating the target with a pulsed laser light and computing the reflected pulses with a sensor. It is then possible to use differences in laser return times and wavelengths, to create a 3D digital representation of the target. LiDAR is also known as laser scanning and 3D scanning, with terrestrial, airborne, as well as mobile applications.

A LiDAR instrument mainly comprises of a laser, a scanner, and a specialized GPS receiver. Airplanes and helicopters are the most commonly used platforms for acquiring LiDAR data over broad areas.

LiDAR systems allow scientists and mapping professionals to examine both natural and man-made environments with accuracy, precision, and flexibility.

This technology is majorly used for control and navigation of autonomous cars. Its usage is popular in developing high-resolution maps, with applications in geodesy, geomatics, archaeology, geography, geology, geomorphology, seismology, forestry, atmospheric physics, laser guidance, airborne laser swath mapping (ALSM), and laser altimetry.

How  LiDAR helps?

  • With the help of LiDAR technology, human error is minimized.
  • The data collected by such technologies and associated photogrammetry is comprehensive, therefore revisits to site for measurements is not needed.
  • The system provides designers with a complete picture of the project with accurate point measurements and the ability to locate features that may be inaccessible or missed with other methods such as clearance height of high-tension electricity cable.
  • The survey time using mobile LiDAR is much shorter than conventional surveys.
  • Minimum dependence on manpower, weather and logistics.
  • The cost of LiDAR survey is equivalent to conventional survey.
  • The output from LiDAR technology is much more comprehensive, complete and reliable that are missing in the conventional technologies, especially ground-based surveying.

The Future Trend

Companies including automakers and non-automakers are investing time in research and development to make this technology cheaper and safer for the use of public.

Intellectual property (IP) plays a key role in self-driving car growth. Companies file fresh patents on automotive control systems, copyrights on more linked working software, and trademarks on newly created automotive-related products.

Autonomous driving cars have a huge scope in innovation and improvement, both in hardware space as well as software computational space. The global self-driving car market is expected to witness substantial growth in the upcoming years owing to growing demand for technologically advanced and cheaper vehicles.

Download our free eBook LiDAR technology for autonomous vehicles” to gain knowledge about the technicalities and future aspects of the emerging trend.

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