131 citations · 165 across the 7 of their papers we have counts for
7 papers
A Dataset and Benchmark for Shape Completion of Fruits for Agricultural Robotics
Federico Magistri, Thomas Läbe, Elias Marks +9
As the world population is expected to reach 10 billion by 2050, our agricultural production system needs to double its productivity despite a decline of human workforce in the agr…
System Calibration of a Field Phenotyping Robot with Multiple High-Precision Profile Laser Scanners
Felix Esser, Gereon Tombrink, Andre Cornelißen +2
The creation of precise and high-resolution crop point clouds in agricultural fields has become a key challenge for high-throughput phenotyping applications. This work implements a…
Field Robot for High-throughput and High-resolution 3D Plant Phenotyping
Felix Esser, Radu Alexandru Rosu, André Cornelißen +3
With the need to feed a growing world population, the efficiency of crop production is of paramount importance. To support breeding and field management, various characteristics of…
LIO-EKF: High Frequency LiDAR-Inertial Odometry using Extended Kalman Filters
Yibin Wu, Tiziano Guadagnino, Louis Wiesmann +3
Odometry estimation is crucial for every autonomous system requiring navigation in an unknown environment. In modern mobile robots, 3D LiDAR-inertial systems are often used for thi…
Wheel-SLAM: Simultaneous Localization and Terrain Mapping Using One Wheel-mounted IMU
Yibin Wu, Jian Kuang, Xiaoji Niu +3
A reliable pose estimator robust to environmental disturbances is desirable for mobile robots. To this end, inertial measurement units (IMUs) play an important role because they ca…
Counting of Grapevine Berries in Images via Semantic Segmentation using Convolutional Neural Networks
Laura Zabawa, Anna Kicherer, Lasse Klingbeil +3
The extraction of phenotypic traits is often very time and labour intensive. Especially the investigation in viticulture is restricted to an on-site analysis due to the perennial n…
Detection of Single Grapevine Berries in Images Using Fully Convolutional Neural Networks
Laura Zabawa, Anna Kicherer, Lasse Klingbeil +4
Yield estimation and forecasting are of special interest in the field of grapevine breeding and viticulture. The number of harvested berries per plant is strongly correlated with t…