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IGVC- Intelligent Ground Vehicle Challenge

Project Description 


The Intelligent Ground Vehicle Competition (IGVC) is an annual international robotics competition for teams of undergraduate and graduate students. Teams design and build an autonomous ground vehicle capable of completing several difficult challenges. It is multidisciplinary, theory-based, hands-on, team implemented, outcome assessed and based on product realization. It encompasses the very latest technologies impacting industrial development and taps subjects of high interest to students. The technologies involved in the IGVC come from a wide range of disciplines and are those of great current interest in both industry and engineering education. Researchers in all disciplines today would do well to have a familiarity with each of these technologies.
Applications of IGVC in The Real World
The technologies involved in the IGVC are those of emerging and burgeoning industries today. Among those applications are many with great opportunities for breakthroughs and innovation, and employment opportunities for knowledgeable young minds.
1) Intelligent Transportation System(ITS) including collision avoidance, obstacle detection and lane following.
2) Military application includes unmanned Vehicle movement and weapon deployment.
3) Manufacturing mobile Robots that are capable of moving independently.





Project Resources 

  
www.igvc.org
www.robonation.org
cs231n.github.io
https://www.arduino.cc
https://www.python.org





Project Members 


Hara Prasad Sahoo, Biswajeet Sahoo, Subham Sidharth, Sidharth Swaroop, Amartyaa Aviteza, Kamaljeet Sahoo, Arnab Paikray, Raj Aryaman Patra, Smrutisikha Panigrahi, Risita Jena, K Santanu Sekhar Senapati, Swagatika Biswal, Mahesh Prasad Pati, Dibyajyoti Sritam, Angad, Jagannath Pandit, Tanmaya, Soham Bhattacharyya, Mahesh





Project Requirements 


Mechanics - Waterproofing of vehicles, Solidworks, ANSYS
Electronics - BLDC motors, ESC, GPS, LIDAR, KINECT, On Board Computing System, Battery Management System
Software - Machine Learning, Image Processing, Convulational Neural networks, Gazebo Simulation.