TS-YOLO: An All-Day and Lightweight Tea Canopy Shoots Detection Model

Three-Dimensional Modeling of Tea-Shoots Using Images and Models

In this paper, a method for three-dimensional modeling of tea-shoots with images and calculation models is introduced. The process is as follows: the tea shoots are photographed with a camera, color space conversion is conducted, using an improved algorithm that is based on color and regional growth to divide the tea shoots in the images, and the edges of the tea shoots extracted with the help ...

Gasification of potato shoots: An experimental and theoretical investigation

A thermodynamic equilibrium model was developed to predict the gasification process in a bench-scale fluidized bed gasifier. Potato shoot (leaves and stems) was used as the feedstock of the gasifier. The experiments were done in five different gasification zone temperatures (650, 700, 750, 800 and 850°C), with a feeding rate of 0.166 kg/hour, and two equivalence ratios (ER: 0.2 and 0.25). T...

All day, and all of the night.

All-day moving objects detection for security at level crossing

In this paper, we propose a strategy based on the joint use of background/foreground segmentation methods and colorimetric invariants or color spaces, in order to detect more precisely moving objects at level crossings throughout the day. The proposed strategy is composed of three steps : 1/ apply an adapted colorimetric invariant on the acquired image in order to simplify the image and limit t...

Complex-YOLO: Real-time 3D Object Detection on Point Clouds

Lidar based 3D object detection is inevitable for autonomous driving, because it directly links to environmental understanding and therefore builds the base for prediction and motion planning. The capacity of inferencing highly sparse 3D data in real-time is an ill-posed problem for lots of other application areas besides automated vehicles, e.g. augmented reality, personal robotics or industri...