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 →
List of LiDar Datasets for Autonomous Vehicles till 2018 Although 2D camera data is used to teach autonomous vehicles to find their way from Point A to PointB, it comes with its own set of drawbacks. Continue Reading →
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 →
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 Levels 0-5 Explained Autonomous driving is no longer sci-fi, it’s become a reality and soon to be hitting our streets. Continue Reading →
