A Review of Autonomous Vehicle Path Tracking Algorithm Research

Abstract

Driverless technology aims to improve driving safety, accuracy and comfort. Path tracking is a basic component of the motion control module of autonomous vehicles, and its control algorithm directly affects the path tracking effect. Based on the preliminary results of the application of path tracking control algorithm, this paper analyzes the principles, advantages and disadvantages, applications and current research progress of the path tracking algorithm under different working conditions from the perspective of different working conditions at low speed and high speed, and provides an outlook on the future development, aiming to provide reference for future in-depth research.

Advancements in Learning-Based Navigation Systems for Robotic Applications in MRO Hangar: Review

“…Path planning in an MRO hangar can be challenging, as the environment is often changing and complex with a high density of obstacles. To ensure a robust obstacle-free path, ongoing research is focusing on path tracking [ 74 ], advanced deep learning [ 75 ], and hybrid approaches for more autonomous and intelligent robot path planning to target locations [ 71 ].…”

“…This involves continuous monitoring and updating of the planned route based on sensor feedback and the changing environment. The work in [ 74 ] reviewed path tracking algorithms relative to high and low speeds. For high-speed applications, the reaction time available for the robots to perceive, process, and respond to obstacles was significantly reduced at high velocities, making it harder to execute quick and sharp manoeuvres without compromising stability or safety.…”