Search Results for author: Andres Milioto

Found 9 papers, 4 papers with code

A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI

no code implementations4 Mar 2020 Jens Behley, Andres Milioto, Cyrill Stachniss

Panoptic segmentation is the recently introduced task that tackles semantic segmentation and instance segmentation jointly.

Instance Segmentation Panoptic Segmentation

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

Ocean Eddy Identification and Tracking using Neural Networks

no code implementations20 Mar 2018 Katharina Franz, Ribana Roscher, Andres Milioto, Susanne Wenzel, Jürgen Kusche

We show the detection and tracking results on sea level anomalies (SLA) data from the area of Australia and the East Australia current, and compare our two eddy detection and tracking approaches to identify the most robust and objective method.

Object Tracking

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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