4 papers
ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals
Emanuele Palazzolo, Jens Behley, Philipp Lottes +2
Mapping and localization are essential capabilities of robotic systems. Although the majority of mapping systems focus on static environments, the deployment in real-world situatio…
WeedMap: A large-scale semantic weed mapping framework using aerial multispectral imaging and deep neural network for precision farming
Inkyu Sa, Marija Popovic, Raghav Khanna +7
We present a novel weed segmentation and mapping framework that processes multispectral images obtained from an unmanned aerial vehicle (UAV) using a deep neural network (DNN). Mos…
Joint Stem Detection and Crop-Weed Classification for Plant-specific Treatment in Precision Farming
Philipp Lottes, Jens Behley, Nived Chebrolu +2
Applying agrochemicals is the default procedure for conventional weed control in crop production, but has negative impacts on the environment. Robots have the potential to treat ev…
Fully Convolutional Networks with Sequential Information for Robust Crop and Weed Detection in Precision Farming
Philipp Lottes, Jens Behley, Andres Milioto +1
Reducing the use of agrochemicals is an important component towards sustainable agriculture. Robots that can perform targeted weed control offer the potential to contribute to this…