activity
20022025
most citedCounting of Grapevine Berries in Images via Semantic Segmentation using Convolutional Neural Networks

131 citations · 199 across the 10 of their papers we have counts for

collaborators

10 papers

cs.RO2025★ 1 cited

DogLegs: Robust Proprioceptive State Estimation for Legged Robots Using Multiple Leg-Mounted IMUs

Yibin Wu, Jian Kuang, Shahram Khorshidi +4

Robust and accurate proprioceptive state estimation of the main body is crucial for legged robots to execute tasks in extreme environments where exteroceptive sensors, such as LiDA…

cs.RO2025

Wheel-GINS: A GNSS/INS Integrated Navigation System with a Wheel-mounted IMU

Yibin Wu, Jian Kuang, Xiaoji Niu +3

A long-term accurate and robust localization system is essential for mobile robots to operate efficiently outdoors. Recent studies have shown the significant advantages of the whee…

cs.CV2024

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…

cs.RO2024

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…

cs.RO2023★ 33 cited

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…

cs.RO2023★ 1 cited

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…

cs.RO2022

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…

cs.CV2020★ 131 cited

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…

cs.CV2019

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…

physics.ins-det2002★ 33 cited

A modular PC based silicon microstrip beam telescope with high speed data acquisition

J. Treis, P. Fischer, L. Klingbeil +3

A PC based high speed silicon microstrip beam telescope consisting of several independent modules is presented. Every module contains an AC-coupled double sided silicon microstrip…