Research on Tractor Optimal Obstacle Avoidance Path Planning for Improving Navigation Accuracy and Avoiding Land Waste

Obstacle avoidance operations of tractors can cause parts land to be unavailable for planting crops, which represents a reduction in utilization. However, utilization is significant the increase agricultural productivity. Traditional obstacle path planning methods mostly focus on automatic tractor navigation with small errors, ignoring decrease due operations. To address problem, this paper proposed an method based Genetic Algorithm (GA) and Bezier curve. In paper, third-order curve was used plot path, range control points determined according global location obstacle. target error problems, GA search optimal point from selection under multiple constraints such as collision avoidance, minimum turning radius, maximum angle. Finally, selected minimize maximize The algorithm compared existing results showed that it has generally favorable performance planning.