Research Paper on Point Based Rendering System for Self Driving Cars
Author(s):
Anjani Pandey, Dr Pankaj Chandre, Ananta Kumari, Asawari Durape
Keywords:
Iterative subdivision, Point based image segmentation, Point based image segmentation for self-driving cars, Point based rendering, algorithm
Abstract
This research paper encapsulates all the processes required to make a Point Based Rendering System for Self Driving Cars. Our project has two different scopes, first scope is concept based scope, while the second scope is application based. For the scope concerned with the concept, we have developed such a neural network module that can be applied to both instance as well as semantic segmentation. Using this module, we can successfully achieve more clear mask resolution. Another scope that we have worked on is the application scope, here we have used the scope of self driving cars. More and more people are buying self driving cars everyday, and this makes the scope of self driving cars very intriguing. Since self driving cars’ processing is very much dependent on processing of images and segmentation of the same. Much of the processing of the self driving cars is dependent of processing of images every second. We believe using this project will tremendously benefit the scope of self driving cars.
Article Details
Unique Paper ID: 155251

Publication Volume & Issue: Volume 9, Issue 1

Page(s): 293 - 297
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