This work presents the design and development of IIT Bombay Racing's Formula Student style autonomous racecar algorithm capable of running at the racing events of Formula Student-AI, held in the UK. The car employs a cutting-edge sensor suite of the compute unit NVIDIA Jetson Orin AGX, 2 ZED2i stereo cameras, 1 Velodyne Puck VLP16 LiDAR and SBG Systems Ellipse N GNSS/INS IMU. It features deep learning algorithms and control systems to navigate complex tracks and execute maneuvers without any human intervention. The design process involved extensive simulations and testing to optimize the vehicle's performance and ensure its safety. The algorithms have been tested on a small scale, in-house manufactured 4-wheeled robot and on simulation software. The results obtained for testing various algorithms in perception, simultaneous localization and mapping, path planning and controls have been detailed.
@article{arxiv.2408.06113,
title = {IIT Bombay Racing Driverless: Autonomous Driving Stack for Formula Student AI},
author = {Yash Rampuria and Deep Boliya and Shreyash Gupta and Gopalan Iyengar and Ayush Rohilla and Mohak Vyas and Chaitanya Langde and Mehul Vijay Chanda and Ronak Gautam Matai and Kothapalli Namitha and Ajinkya Pawar and Bhaskar Biswas and Nakul Agarwal and Rajit Khandelwal and Rohan Kumar and Shubham Agarwal and Vishwam Patel and Abhimanyu Singh Rathore and Amna Rahman and Ayush Mishra and Yash Tangri},
journal= {arXiv preprint arXiv:2408.06113},
year = {2024}
}