IROS 2023poster1 citations
Kinematics-Only Differential Flatness Based Trajectory Tracking for Autonomous Racing
Yashom Dighe, Youngjin Kim, Smit Rajguru, Yash Turkar, Tarunraj Singh, Karthik Dantu
Abstract
In autonomous racing, accurately tracking the race line at the limits of handling is essential to guarantee competitiveness. In this study, we show the effectiveness of Differential Flatness based control for high-speed trajectory tracking for car-like robots. We compare the tracking performance of our controller against Nonlinear Model Predictive Control and resource use while running on embedded hardware and show that on average KFC reduces the computation resource usage by 50 % while performing on par with NMPC. Our implementation of the proposed controller, the simulation environment and detailed results is open-sourced on https://github.com/droneslab/.
BibTeX
@inproceedings{iros2023_kinematicsonlydi,
title = {Kinematics-Only Differential Flatness Based Trajectory Tracking for Autonomous Racing},
author = {Yashom Dighe and Youngjin Kim and Smit Rajguru and Yash Turkar and Tarunraj Singh and Karthik Dantu},
booktitle = {IROS 2023},
year = {2023}
}