How To Do Object Detection Using Lidar Data Processing?
LiDAR sensors can produce point clouds that can map the environment in 3-dimension. The result will contain distance points, as well as produce various valuable environmental info.
For some apps, the information could be too complex and needs more resources for further processing. A couple of real-life scenarios would be autonomous driving, traffic monitoring, parking, and other applications that need LiDAR obtained data to work as expected.
Test Case Scenario of Practical LiDAR Application
Let’s assume that an imaginary ‘Mandal Town’ is conducting an annual Memorial Day celebration. The celebration will be attended by a huge crowd of the town and will be able to reserve a spot at the town parking lot for free. Because it is free, there is going to be a huge rush of the crowd and for security reasons, you cannot let the population of the parking lot increase a total of 1000 audiences. This is where we need LiDAR data processing services to constantly monitor the capacity. When the capacity is met, the audiences will be prevented from entering and when freed up they will be allowed in.
Advantages of LiDAR Over Usual Security Solutions
There are several advantages of using LiDAR processing over other security solutions such as installing cameras, motion sensors, or even manual counting.
- LiDAR captures are more reliable and accurate as the system reflects everything in real-time.
- LiDAR protects the privacy of the audiences by using colorless 3D data instead of cameras that take real-life images with faces.
- Audience hand-outs and print supply can be accurately delivered to all audiences.
- LiDAR can help generate patterns for further town celebration planning the next year.
Deriving the Object List
After using LiDAR data processing technology the platform will generate a number of results. As the system will treat each person entering as an object, it will soon be generating tons of information for further study by the town authorities.
The information which is made available will be in the form of a so-called object list. The table will record all the detected objects and their properties in ‘X’, ’Y’, & ‘Z’ point cloud format. Data obtained like this can be easily processed for further analysis. It can determine the exact number of people on the premises at a given time. It facilitates the town authorities to determine when the parking lot has achieved the maximum number of visitors and the entrance can then be shut. This data can be useful for planning future events.
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