Welcome to our Blog!

Autonomous Driving

A Primer on LiDAR for Autonomous Vehicles

Playment builds products that help perception engineers build huge amount of highly accurate datasets to train their models.
Continue Reading
Autonomous Driving

Playment Partners With Ouster to Simplify Lidar Data Annotations

Today, almost all autonomous vehicle companies targeting level-5 autonomy use a setup involving LiDARs calibrated together with cameras working in sync to perceive the world around them.
Continue Reading
Autonomous Driving

List of Semantic Segmentation Models for Autonomous Vehicles

State-of-the-Art Semantic Segmentation models need to be tuned in terms of memory consumption and fps output to be used in time-sensitive applications like autonomous vehicles. Here we study models like FCN, SegNets, ENets, and ICNets.
Continue Reading
Autonomous Driving

Semantic Segmentation Datasets for Autonomous Driving

An understanding of open data sets for urban semantic segmentation shall help one understand how to proceed while training models for self-driving cars. Explore datasets like Mapillary Vistas, Cityscapes, CamVid, KITTI and DUS.
Continue Reading
Autonomous Driving

Autonomous Driving Levels 0-5 Explained

Autonomous driving is no longer sci-fi, it’s become a reality and soon to be hitting our streets. Every week, Autotech companies are announcing their plan for self-driving tech. But, no two autonomous driving technologies are exactly alike.
Continue Reading