Consecutive inertia drift of autonomous RC car via primitive-based planning and data-driven control

Y Lu, B Yang, J Li, Y Zhou, H Chen… - 2023 IEEE/RSJ …, 2023 - ieeexplore.ieee.org
Inertia drift is an aggressive transitional driving maneuver, which is challenging due to the
high nonlinearity of the system and the stringent requirement on control and planning …

Direct shooting method for numerical optimal control: A modified transcription approach

J Tang, Y Zhong, P Wang, X Chen… - 2024 European …, 2024 - ieeexplore.ieee.org
Direct shooting is an efficient method to solve numerical optimal control. It utilizes the Runge-
Kutta scheme to discretize a continuous-time optimal control problem making the problem …

Driving in the Extreme: Sensing Drifting and the Expert Driver Response

IR Lima, J Santos-Victor - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Understanding the professional response to extreme driving events fosters the creation of
novel safety procedures for autonomous vehicles (AVs), capable of avoiding and handling …

Autonomous Drifting Based on Maximal Safety Probability Learning

H Hoshino, J Li, A Menon, JM Dolan… - ar** Assist System in Autonomous Vehicles*
A Abarghooei, M Ahmadi - 2024 IEEE Canadian Conference on …, 2024 - ieeexplore.ieee.org
This article presents a novel intelligent control algorithm for the Lane Kee** Assist System
based on Emotional Learning. The proposed controller can be trained online using the …

Aggressive racecar drifting control using onboard cameras and inertial measurement unit

S Lin, J Qu, Z Li, X Ren, Y Mo - 2022 41st Chinese Control …, 2022 - ieeexplore.ieee.org
Complex autonomous driving, such as drifting, requires high-precision and high-frequency
pose information to ensure accuracy and safety, which is notably difficult when using only …