Autonomous Ground Vehicle

Team AGV is a multi-disciplinary research group aimed at building a fully operational self-driving car. Team AGV presented its latest "Eklavya" series robot, "Eklavya 4.0", in IGVC-2015 organized at Oakland University, Detroit, Michigan, USA from June 5th - June 8th, and came out with a good performance which includes qualification on most of the qualifying parameters in the Auto navigation challenge and a significantly improved performance in the design competition where it stood 20th among the 42 teams from all over the world, and the best among all other participants from India and being only Indian team to go on this far.

Our Vision

"Our vision is to have a world without road accidents ; a place where people can commute without fear, to build the world’s most advanced and cost effective self-driving car."

The present transportation system is getting increasingly expensive and inefficient.
  • Over $230 billion are spent on car crashes every year, majority of which are due to human errors.
  • Congestion in total amounts to 10.5 billion litres of wasted petrol each year.
  • Over 4.2 billion hours are wasted in traffic every year.
  • There has been an increase in number of accidents due to human errors such as drinking and driving.
The solution to all these problems is a self­driving car. With this inspiration, we have started Autonomous Ground Vehicle (AGV) Research Group in IIT Kharagpur. We aspire to make India’s first fully operational self-driving car.

Goals :

Mahindra Rise Prize

India has been on the verge of greatness for too long. It's time to change that. It’s time to make the world sit up and take notice. To create disruptive solutions that transform lives. To lead in enterprise and innovation. To see "Made in India" mean best in the world. This is Mahindra Rise Prize challenge aims at. We at AGV have been selected in the first round of this challenge and we are looking foreward to applying our technology to a mahindra Vehicle makinb it fully Autonomous.

Intelligent Ground Vehicle Challenge

The IGVC offers a design experience that is at the very cutting edge of engineering education. 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. Design and construction of an Intelligent Vehicle fits well in a two semester senior year design capstone course, or an extracurricular activity earning design credit. The deadline of an end-of-term competition is a real-world constraint that includes the excitement of potential winning recognition and financial gain. Students solicit and interact with industrial sponsors who provide component hardware and advice, and in that way get an inside view of industrial design and opportunities for employment. Team AGV has been constantly participating in Intelligent Ground Vehicle Compitition and making a mark.

Research Applications :

Mine Mapping

The lack of accurate maps of underground mines frequently causes mine accidents. Hazardous operating conditions and difficulty in access makes Robotic Exploration and Mapping an immediate and safe choice.The mapping algorithms used in the self driving car can also be applied for mines.

Construction Mapping

Large scale construction projects might involve exploration of areas inaccessible or life­ threatening to workers. For such scenarios, a portable mapping solution could be hosted on a small flying quadrotor.

City Mapping

The traditional surveying techniques for generating maps for city­ planning requires thousands of man-hours and are very expensive. Large cities can be mapped accurately and efficiently using a self driving car equipped with 3­D laser mapping technologies. This can cut down on a lot of manual work and save time. With this view, we undertook the DIGITAL KGP PROJECT in which we mapped some parts of the IIT Kharagpur campus using the 3­D ENVIRONMENT MAPPING Technology.

Night Time Driver Assist

The use of special sensors in autonomous driving systems can detect approaching vehicles and road boundaries under poor lighting conditions. This feature could be widely used in vehicles as an essential safety measure.

Lane Departure Warning System

This system warns the driver as soon as the vehicle starts moving out of the lane. If the driver,for some reason, avoids the warning, the system takes over and moves the vehicle back into the lane. This technology completely removes the human error involved in the process.

Collision Detection System

A sensing system has a wider field of view compared to an average human being. It is also capable of running calculations at over 2.5 GHz. Owing to these qualities, a sensing system can warn the driver beforehand about a probable collision.

Research Areas

Projects (BTP/MTP/MS/PhD/Intern) and Research Publications

Author : Archisman Sarkar, Rahul Kumar Singh, Debashish Chakravarty, Paritosh Goyal, Vaibhav Lodhi, Anurag Sharma
Publication Date : 2015/9/27

Author : D. Ghosh Advanced Technology Development Centre, Indian Institute of Technology, Kharagpur India
D. Chakravarty and B. Samanta Department of Mining Engineering, Indian Institute of Technology, Kharagpur, India.

Author : Vinay Kumar Pilania and Debashish Chakravarty
Keywords Mine environment, mine navigation, mine rescue robot, video data transmission

Author : Ayush Pandey, Subhamoy Mahajan, Adarsh Kosta, Dhananjay Yadav, Vikas Pandey, Saurav Sahay, Siddharth Jha, Shubh Agarwal, Aashay Bhise, Raushan Kumar, Aniket Bhushan, Vraj Parikh, Ankit Lohani, Saurabh Dash, Himanshu Choudhary, Rahul Kumar, Anurag Sharma, Arnab Mondal, Chendika Karthik Sai, PN Vamshi.
The manuscript is available on IEEE Xplore.

Abstract Link
Author : Jignesh Sindha

Author : Debyendu Ghosh
Keywords Occupancy grid map, path planning, pose estimation, scan matching,3D mine maps.

Abstract Link


Presenter : Ayush Pandey
Date : 2016/1/23
Author : Tejus Gupta
Date: 2016/1/23
Presenter : Shivam Vats
Date : 2016/1/23
Presenter : Tejus Gupta
Date : 2016/1/23
Presenter : Harshit Sikchi
Date : 2017/3/17




Team Members


Past Members


We are grateful for the financial help provided by our sponsors.In particular VectorNav has provided technical and logistic support by providing us with the Inertial Navigation System (INS). We are also indebted to ONGC,MS2 Data Solutions, Divum and NAG for supporting us financially. Last but not the least,this illustrious journey could not have been possible without the moral and financial support from Sponsored Research and Industrial Consultancy,IIT Kharagpur and IIT Kharagpur Social Alumni Association.

SOLIDWORKS leads the global 3D computer-aided design (CAD) industry with easy-to-use 3D software that trains and supports the world's engineering and design teams as they drive tomorrow's product innovation.

Oil and Natural Gas Corporation Limited (ONGC) is an Indian multinational oil and gas company head quartered in Dehradun, India.

Supplies user driven applications and consulting services for coal and other energy mining.

Pi22er in innovative mobile application design and development; collectively Divum has over 6 decades of experience in designing, developing and delivering breakthrough user centric mobile apps across multiple platforms.

As a Google Enterprise Partner, NAG employs the latest real­time sharing technology and geospatial solutions to improve the integration and sharing of information and communication across multiple departments and various fields.

Over the past decade, HCL has been 22 of the fastest growing technology companies not only in India but in the world – even during the depths of the economic downturn.

VectorNav is a supplier of miniature MEMs inertial measurement units (IMUs), Attitude Heading Reference Systems (AHRS), and inertial sensors.

We are thankful to the alumni of IIT Kharagpur for providing us financial support for all our endeavours.