Research on Helicopter Obstacle Detection Algorithm Based on Object Recognition

In this paper, a new 2D-Single Machine (2D-SM) algorithm is proposed, which is applied to helicopter obstacle detection based on target recognition to judge whether there are obstacles in the shutdown environment. The algorithm combines SSD (Single Shot MultiBox Detector) target detection algorithm, Support Vector Machine (SVM) classification algorithm and Dijkstra path search algorithm. SSD is used for multi-scale target detection, which can efficiently detect targets in the environment, generate accurate candidate boxes, and quickly identify obstacles in the shutdown environment. SVM classifies the detected obstacles to improve the accuracy of recognition. Dijkstra's algorithm is used to optimize path planning to ensure that the helicopter can land efficiently and safely while there are no obstacles in the shutdown environment. Finally, compared with the traditional detection algorithm, the results show that the 2D-SM algorithm can quickly identify obstacles in complex environments, provide a safe shutdown environment judgment for the helicopter, and ensure the safety of the helicopter during takeoff and landing. The algorithm has the characteristics of high efficiency and accuracy, and provides a new solution for helicopter obstacle detection.