Search Results for author: Philipp Lottes

Found 4 papers, 2 papers with code

ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals

1 code implementation6 May 2019 Emanuele Palazzolo, Jens Behley, Philipp Lottes, Philippe Giguère, Cyrill Stachniss

For localization and mapping, we employ an efficient direct tracking on the truncated signed distance function (TSDF) and leverage color information encoded in the TSDF to estimate the pose of the sensor.


Fully Convolutional Networks with Sequential Information for Robust Crop and Weed Detection in Precision Farming

no code implementations9 Jun 2018 Philipp Lottes, Jens Behley, Andres Milioto, Cyrill Stachniss

Exploiting the crop arrangement information that is observable from the image sequences enables our system to robustly estimate a pixel-wise labeling of the images into crop and weed, i. e., a semantic segmentation.

Classification General Classification +1

Real-time Semantic Segmentation of Crop and Weed for Precision Agriculture Robots Leveraging Background Knowledge in CNNs

1 code implementation20 Sep 2017 Andres Milioto, Philipp Lottes, Cyrill Stachniss

Precision farming robots, which target to reduce the amount of herbicides that need to be brought out in the fields, must have the ability to identify crops and weeds in real time to trigger weeding actions.

Real-Time Semantic Segmentation

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