Path Planning and Parameter Adjustment
DOI:
https://doi.org/10.54097/ajst.v4i3.5056Keywords:
TEB, Yolov5, Opencv, DWA, SLAM, ROS, Gazebo.Abstract
By building ros and gazebo simulation environment in virtual machine, path planning, navigation, positioning and SLAM mapping were carried out for Ackerman chassis car, and traffic sign recognition and lane line detection were completed by combining machine vision, so as to control the intelligent car's turning. Test the navigation parameters with TEB plug-in to obtain the best parameters. After testing, the navigation effect is ideal, with reliability and accuracy.
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