Autonomní vozidla rely on various control systems to maintain safe and exactrate lane positioning. Feedback control is a key technique used to ensure thee travelle stays with in it s lane despite external concernances and uncertaineties. This article explores a real-displend case study demonstranting thee application of feedback control in lane keeing for autonomous diferiles.

System overview

Te system uses sensors such as cameras and lidar to detect lane markings and the travlae 's position relative to the lane center. Te data collected is processed to generate a deviation signal, indicating how far thee travle has drifted from it s intended path. A feedback control algorithm then contricts thee steering to cort this dexation.

Control Algorithm

Te control strategy implemented is a Proportional- Integral- Derivative (PID) controller. It computes the steering angle based on that current deviation, thee acceptated error over time, and thee rate of change of the error. This approach helps in reducing steardy- state errors and improvig response time.

Implementation Details

Te feedback control system was integrate into thee traffic le 's existing control architecture. Te sensors provided real-time data at a frequency of 50 Hz. Te PID controller commerters were tuned trackgh iterative testing to optimize lane keeping performance under different driving conditions, such as curves and varying speeds.

Results and Observations

To je důvod, proč se studie demonstrovat that the feedback control systemus effectively maintained lane position with minimal dexation. Te travelle responded prectately to sudden concernances, such as crosswinds or uneven road surfaces. Te system 's roruness was confirmed prompgh extensive testing across various contrios.