Binocular intelligent following robot based on YOLO-LITE

Abstract

In order to solve the problem that the deep neural network model is large in scale, the calculation time is too long, and the real-time performance is severely limited when combined with embedded devices, so studied the intelligent follower robot system based on YOLO-LITE algorithm combined with Raspberry Pi 3B+. The system mainly includes camera processing, target detection and other modules. Obtained the internal and external parameters of the camera through calibration, and according to these parameters to correct the binocular camera. Recognized and located the target in each frame of image, calculated the distance from the camera to the target and the center location error, and driven the car to move. The experimental results show that the following car has excellent real-time performance, the average detection frame rate can reach 20Fps, and the average detection accuracy can reach more than 80%.

Robot Collaborative Interactive Artistic Design for Digital Art Using Embedded Systems

“…In the history of mankind's continuous exploration, understanding and transformation of nature, machinery and automation have always been one of the technologies that people are constantly exploring [15]. The artistic design completed by AI can effectively convey the design intention that designers want to express and truly show the connotation of artistic works [26]. On the other hand, AI is also entering the perceptual art field of human beings, striving to make art intelligent [20].…”