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.
The Semantic Segmentation or Pixel-level labeling is used to label each and every pixel in the image.
With the rise in popularity of Autonomous Driving technology, Computer Vision for Object Detection, and Deep Learning – The potential of AI has time and again proven to be colossal.
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.