Lidar, which stands for “light detection and ranging,” is a pivotal tool in modern robotics and computer vision applications, including self-driving cars, drones, and ground robots. Learn more about lidar and the 3D point cloud data that’s captured, then…

To create a 3D object detector or any other kind of 3D computer vision model, you will need to label point cloud data. Accurate labeling is essential for training robust object detection models, and the Lidar Labeler app has many features to help improve…

Learn how to create maps and visualize geographic data in MATLAB® using Mapping Toolbox™. This demonstration covers plotting with a map and geographic axes, displaying features such as cities and rivers, and adding custom icons for points of interest.

Learn…

This tech talk introduces the concept of formal verification for neural networks using intuitive examples and MATLAB® tools. It explains two main verification approaches: the polyhedra method, which uses linear inequalities to define boundaries for the feasible…

Dive into deep learning to train a 3D object detector using labeled lidar data. Learn how to organize point cloud and label data for deep learning and how to augment your data to create a more robust detector. Then, explore the different options and information…

You can train neural networks in MATLAB, but sometimes you already have a trained network in PyTorch that you just want to import and use with MATLAB code, apps, or features. Learn how you can accomplish this with MATLAB code or by using the Deep Network…

Whether you’re integrating an object detector into an existing application or deploying it to hardware, you have a few options when determining how to package the detector.

This step-by-step guide teaches you how to turn your model into a functional component…

Learn how to estimate the rotor position of a permanent magnet synchronous motor (PMSM) using an AI-based virtual sensor, eliminating the need for physical speed/position sensors. The approach leverages deep learning to generate, train, test, and deploy a…

NVIDIA GPUs are the hardware of choice for many applications including AI, embedded vision, and radar and signal processing algorithms. MATLAB is the ideal environment for exploring, developing, and prototyping algorithms. In this seminar, we will learn how…

Engineers and scientists often work with complex, multidimensional data that is difficult to interpret in raw tables. Surface plots in MATLAB® make it easier to visualize this data in three dimensions, even when it’s scattered or nonuniform.

This demonstration…