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As the field of automated driving evolves, the need for highly reliable perception systems becomes increasingly critical, particularly at higher levels of automation. Lidar (Light Detection and Ranging) technology has emerged as a vital component of modern automated driving systems, owing to its ability to provide accurate, high-resolution, and real-time detection and measurement of surrounding objects.

In this webinar, we will discuss how to build lidar based development workflows for perception and navigation in autonomous driving application, covering the critical stages of data acquisition, processing, and interpretation.

In this webinar you will gain insights on:

• Accessing and streaming lidar data

• Simulating lidar sensor in synthetic environments

• LIDAR camera cross calibration

• Apply deep learning algorithms on lidar point cloud

• Map building and SLAM using lidar data

• Object tracking on sequential point cloud data


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