This paper is published in Volume-4, Issue-2, 2018
Area
Machine Learning and Automation
Author
Syed Zishan Ali, Rishabh Sharda, Abhishek Dewangan, Sourabh Chawda, Rahul Sharma
Org/Univ
Bhilai Institute of Technology, Raipur, Chhattisgarh, India
Keywords
Convolutional Neural Network (CNN), Autonomous vehicle, Artificial Intelligence (AI), Machine learning (ML), Behavioral cloning, Simulated environment, Graphical processing unit(GPU), Model (complete CNN with other processing code)
Citations
IEEE
Syed Zishan Ali, Rishabh Sharda, Abhishek Dewangan, Sourabh Chawda, Rahul Sharma. Data preprocessing and balancing to enhance end to end learning in self-driving vehicle, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Syed Zishan Ali, Rishabh Sharda, Abhishek Dewangan, Sourabh Chawda, Rahul Sharma (2018). Data preprocessing and balancing to enhance end to end learning in self-driving vehicle. International Journal of Advance Research, Ideas and Innovations in Technology, 4(2) www.IJARIIT.com.
MLA
Syed Zishan Ali, Rishabh Sharda, Abhishek Dewangan, Sourabh Chawda, Rahul Sharma. "Data preprocessing and balancing to enhance end to end learning in self-driving vehicle." International Journal of Advance Research, Ideas and Innovations in Technology 4.2 (2018). www.IJARIIT.com.
Syed Zishan Ali, Rishabh Sharda, Abhishek Dewangan, Sourabh Chawda, Rahul Sharma. Data preprocessing and balancing to enhance end to end learning in self-driving vehicle, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Syed Zishan Ali, Rishabh Sharda, Abhishek Dewangan, Sourabh Chawda, Rahul Sharma (2018). Data preprocessing and balancing to enhance end to end learning in self-driving vehicle. International Journal of Advance Research, Ideas and Innovations in Technology, 4(2) www.IJARIIT.com.
MLA
Syed Zishan Ali, Rishabh Sharda, Abhishek Dewangan, Sourabh Chawda, Rahul Sharma. "Data preprocessing and balancing to enhance end to end learning in self-driving vehicle." International Journal of Advance Research, Ideas and Innovations in Technology 4.2 (2018). www.IJARIIT.com.
Abstract
Driving a vehicle has always been a demanding task be it any vehicle since robotics and artificial intelligence has progressed multi-folds in the last decade which gave us the technological grounds to automate many processes which include driving. Developing autonomous vehicle is the current research area for many corporate like are Google, Tesla, Nvidia, and Uber. Several proposed methodology for them is Nvidia’s Behavioural Cloning, CommaAI’s OPENPILOT, Tesla’s AUTOPILOT all of which uses the camera to process surrounding of the vehicle. In this paper, we discuss Nvidia’s recent work (behavioral cloning) and incorporate their work with few techniques of our own like filtering the repeating data and augment the input data to reduce the amount of data collection required.
