An Analysis On Self Driving Cars and how they work
Often nowadays there’s a swag that has emitted callback known as “Self driving cars” mostly rendered by Google and Uber mostly.
So This is the image that I captured from Siraj Raval’s Video on youtube!

Well this image explains very well. So a research paper was released based on long term planning by short term prediction to overcome problem that human drivers do take actions that self driving cars do not! eg. a disaster or natural calamity.

Their Paper mentioned that cars need to understand complex roads as this one on left hand side.It also resolved if it can observe human behaviours on surrounding if human suddenly approaches , self driving cars generally cannot immediately apply breaks then they should given access to external hardware recognition in that way
Their research paper’s link is :
Also their were many drawbacks until a team of three members from “nvidia” tested and integrated three cameras on wind shield and developed a neural network that trains itself to handle functions of steering to optimal path navigation using gps.
Their neural network consisted of :


This way they built the routing process like from which section which events happens and all. Now team tested it on simulation and guess well results came out during simulation tests!

This research paper’s name was “ End to End Learning for Self-Driving Cars” and its link here : https://arxiv.org/pdf/1604.07316v1.pdf
I wanted to post on self driving cars because, though 90% of big automobile companies do not approve for this idea as they want end to end software system but now future seems really like one day a customer would ask a dealer that “ Can i get a new self driving audi a7 , Sir ? ”
I took a time to gather analysis from source of siraj raval’s youtube channel and his github source too!
His github source link : https://github.com/llSourcell/Self-Driving-Car-Demo/
Hope you guys liked it ! Now <br> time
