A for Analytics

A For Analytics

3D Point Cloud for LIDARs Sensing

When it comes to the application of video annotation for machine learning services, we can apply it in medical AI, geospatial technology, and self-driving cars.


Artificial Intelligence

3D Point Cloud for LIDARs Sensing

How does 3D point cloud for LIDAR sensing help companies innovate their autonomous systems

The 3D point cloud capture involves using AI-powered technology to help driving systems sense obstacle information, vehicle location, and the actual road. The technology is primarily deployed in assistant driving models in diverse and complex environments. The trained system can sense possible driving risks in real-time and make well-informed guiding decisions. LIDAR is the leading technology behind the 3D point cloud for LIDAR sensing solutions. LIDAR is a solution used to determine variable distances (ranges) as it targets objects using a laser and measures the time of travel of refracted light.

for Analytics: Giving more perception to your self-driving vehicles

A for Analytics has one of the best 3D point cloud annotations for LIDARs. It’s a solution essential to vehicle perception systems, as it can improve accuracies regarding obstacle positioning and detection, target tracking and recognition. With A for Analytics, we will train your models to make accurate decisions based on precise object recognition and positioning ability. We add a lot of efficiency to your automatic driving solutions and have verified LIDAR solutions for 3D point cloud capture experts. Many clients have used our expertise to transform their 3D point cloud annotations for LIDARs.

A for Analytics offers 3D point cloud for LIDARs sensing. It’s based on the sparse matrices and it’s in constant development since more than two years. With A for Analytics you can process millions of points per second thanks to an innovative memory management and a reduction of computational complexity.


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