Version vom 13. März 2025, 14:47 Uhr

Introduction

Set up requirements for the lane keeping system.
Research on solutions for the task (morphological box with technicl creteria).
Implementation in MATLAB^®. Teach a AI to drive in the right lane.
Use the Video data here.
Use the recorded steering angle here.
The data can be visualized with zeigeMessdaten.m (see fig. 1).
Verify the results with Rundkurs01.avi and Rundkurs02.avi.
Evaluation of the solutions using a morphological box (Zwicky box) based on technical creteria
Discussion of the results
Testing of the system requirements - proof of functionality
Scientific documentation of every step as a wiki article with an animated gif

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 # Testing of the system requirements - proof of functionality
 # Scientific documentation of every step as a wiki article with an animated gif
-= Understanding Lane Keeping =
-Lane-keeping refers to the ability of a vehicle to detect and maintain its position within a designated lane on the road. It is a critical function for autonomous driving, helping to enhance road safety and reduce driver workload.Our target location is the mechatronics lab  at HSHl. below are videos recorded using videos from a [[JetRacer: Autonomous Driving, Obstacle Detection and Avoidance using AI with MATLAB|JetRacer]]
 = Visualized Data of Rundkurs03 =