Tag: ai

  • Project: Point Cloud Processing with Open3D

    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.…

  • Project: Vehicle Tracking and Counting using YOLOv8 and ByteTrack

    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…

  • Paper Summary: PointNet

    Paper Summary: PointNet

    In this blog post, we will explore the paper “PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation” authored by Charles Qi et al., published in CVPR in 2017. Let’s begin! What is the Paper about? The paper introduces the PointNet architecture that is designed to handle point cloud. As recall in the…

  • Project: Point Cloud Classification with PointNet

    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…