Autonomous Vehicle Using Various Machine Learning Algorithms

Authors

  • Madhur Jain  Assistant Professor, Department of Information Technology, Bhagwan Parshuram Institute of Technology, New Delhi, Delhi, India
  • Bijay Marasini  Department of Information Technology, Bhagwan Parshuram Institute of Technology, New Delhi, Delhi, India
  • Alok Kumar Jha  Department of Information Technology, Bhagwan Parshuram Institute of Technology, New Delhi, Delhi, India
  • Pawan Thapa  Department of Information Technology, Bhagwan Parshuram Institute of Technology, New Delhi, Delhi, India
  • Jasbir  Department of Information Technology, Bhagwan Parshuram Institute of Technology, New Delhi, Delhi, India

DOI:

https://doi.org//10.32628/CSEIT1952205

Keywords:

Self-driving car, Regression, Clustering, Decision Matrix, Pattern Recognition, Reinforcement Learning, Markov Decision Process, Q-Learning

Abstract

Today and possibly for a long time to come, the full driving task is too complex an activity to be fully formalized as a sensing-acting robotics system that can be explicitly solved through model based and learning-based approaches in order to achieve full unconstrained vehicles autonomy. Vehicle control, mapping, scene perception, trajectory optimization, and higher-level planning decisions are open challenges for autonomous vehicle development. This is especially true for real-world operation where the margin of allowable error is extremely small and the number of edge-cases is extremely large. Human beings will remain an integral part of monitoring the AI system as it performs anywhere from just over 0% to just under 100% of the driving until we solved these problems. We are continually developing new methods for analysis of the massive-scale dataset collected from various vehicle owners. Many recorded data has various messages, and high-de?nition video streams of the driver face, the driver cabin, the forward roadway, and the instrument cluster. The study is on- going and growing. Till date, we have 110 participants, 11,945 days of participation, 89,405,807 miles, and 10.9 billion video frames. Here we presents the design of the study, the data collection hardware, the processing of the data, and the computer vision algorithms currently being used to extract actionable knowledge from the data.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-04-30

Issue

Volume 5, Issue 2, March-April-2019

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Madhur Jain, Bijay Marasini, Alok Kumar Jha, Pawan Thapa, Jasbir, " Autonomous Vehicle Using Various Machine Learning Algorithms, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 2, pp.754-760, March-April-2019. Available at doi : https://doi.org/10.32628/CSEIT1952205