Perception is at the heart of autonomous systems and surveillance systems. High resolution sensors such as lidar and radar provide a wealth of data that feed perception algorithms and enable new ways of understanding the surrounding environment.
Radar and lidar engineers leverage deep learning and machine learning to automate and improve accuracy of processing pipelines for a variety of applications in consumer and automotive applications, including target and terrain classification in surveillance systems, object detection and identification in autonomous systems, and AR/VR applications.
Learn how MATLAB® and Simulink® are used to overcome common challenges including:
You can also select a web site from the following list:
Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.