Category: computer-vision
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Paper Summary: Lingo QA
Everyone is talking about Large Language Models (LLMs). Since ChatGPT became mainstream in December 2022, the world has never been the same. Industries across the board—finance, manufacturing, and commerce—are racing toward the implementation of AI. Recently, LLMs have been introduced in self-driving cars, in the form of Vehicle Language Models (VLMs). These models allow humans…
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Project: Point Cloud Processing with Open3D
We are working with point clouds (again). Point clouds, collections of 3D data acquired through LiDAR, are a crucial data type in self-driving car. In this project, we will learn how to process point clouds using the Open3D library. Let’s look at the data that we want to process, which is displayed by Figure 1.…
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Project: Vehicle Tracking and Counting using YOLOv8 and ByteTrack
In this project, we will create a vehicle tracking and counting system using YOLOv8 and ByteTrack algorithms. Let’s dive in! 1. Short Introduction to the Project Vehicle tracking and counting refers to the process of monitoring and recording the movement of vehicles within a defined area. This involves identifying vehicles as they enter and exit…
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Project: Point Cloud Classification with PointNet
In this blog post, we will perform point cloud classification using the PointNet architecture. We will use Python with Tensorflow and Keras framework. Let’s dive in! 1. Short Introduction to the Project As discussed in the previous post, a point cloud is a set of data points in a 3D coordinate system. Point clouds are…
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An Introduction to Point Clouds
Hello everyone, and welcome to the first post of the blog. This time, I aim to explain the concept of point clouds in an approachable way. So, let’s dive in. What is a Point Cloud? I found this video from Geospatial World’s Youtube channel helpful in understanding the concept. The video sums up that a…
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