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Change monitoring is an essential task for cranberry farming as it provides both breeders and growers with the ability to analyze growth, predict yield, and make treatment decisions. However, this task is often done manually, requiring…

计算机视觉与模式识别 · 计算机科学 2025-10-13 Ronan John , Anis Chihoub , Ryan Meegan , Gina Sidelli , Jeffery Neyhart , Peter Oudemans , Kristin Dana

The development of precision agriculture has gradually introduced automation in the agricultural process to support and rationalize all the activities related to field management. In particular, service robotics plays a predominant role in…

机器人学 · 计算机科学 2023-03-24 Francesco Salvetti , Simone Angarano , Mauro Martini , Simone Cerrato , Marcello Chiaberge

This paper presents an adaptive path planner for object search in agricultural fields using UAVs. The path planner uses a high-altitude coverage flight path and plans additional low-altitude inspections when the detection network is…

机器人学 · 计算机科学 2025-06-11 Rick van Essen , Eldert van Henten , Lammert Kooistra , Gert Kootstra

Motion, measured via optical flow, provides a powerful cue to discover and learn objects in images and videos. However, compared to using appearance, it has some blind spots, such as the fact that objects become invisible if they do not…

计算机视觉与模式识别 · 计算机科学 2022-10-17 Subhabrata Choudhury , Laurynas Karazija , Iro Laina , Andrea Vedaldi , Christian Rupprecht

Automated driving in urban scenarios requires efficient planning algorithms able to handle complex situations in real-time. A popular approach is to use graph-based planning methods in order to obtain a rough trajectory which is…

机器人学 · 计算机科学 2021-02-17 Oliver Speidel , Jona Ruof , Klaus Dietmayer

Autonomous crop monitoring at high spatial and temporal resolution is a critical problem in precision agriculture. While Structure from Motion and Multi-View Stereo algorithms can finely reconstruct the 3D structure of a field with low-cost…

机器人学 · 计算机科学 2016-10-11 Jing Dong , John Gary Burnham , Byron Boots , Glen C. Rains , Frank Dellaert

The problem of multi-object tracking (MOT) consists in detecting and tracking all the objects in a video sequence while keeping a unique identifier for each object. It is a challenging and fundamental problem for robotics. In precision…

计算机视觉与模式识别 · 计算机科学 2024-10-28 Leonardo Saraceni , Ionut M. Motoi , Daniele Nardi , Thomas A. Ciarfuglia

We consider the problem of detecting robotic grasps in an RGB-D view of a scene containing objects. In this work, we apply a deep learning approach to solve this problem, which avoids time-consuming hand-design of features. This presents…

机器学习 · 计算机科学 2014-08-22 Ian Lenz , Honglak Lee , Ashutosh Saxena

Robotic manipulation of fresh fruits and vegetables, including the grasping of multiple loose items, has a strong industrial need but it still is a challenging task for robotic manipulation. This paper outlines the distinctive manipulation…

Most existing motion planning algorithms assume that a map (of some quality) is fully determined prior to generating a motion plan. In many emerging applications of robotics, e.g., fast-moving agile aerial robots with constrained embedded…

机器人学 · 计算机科学 2018-08-03 Thomas Sayre-McCord , Sertac Karaman

Robotic systems performing end-user oriented autonomous exploration can be deployed in different scenarios which not only require mapping but also simultaneous inspection of regions of interest for the end-user. In this work, we propose a…

机器人学 · 计算机科学 2022-03-22 Menaka Naazare , Francisco Garcia Rosas , Dirk Schulz

Robotic harvesting of crops has the potential to disrupt current agricultural practices. A key element to enabling robotic harvesting is to safely remove the crop from the plant which often involves locating and cutting the peduncle, the…

机器人学 · 计算机科学 2017-10-02 Chris Lehnert , Chris McCool , Tristan Perez

This paper describes an approach of creating a system identifying fruit and vegetables in the retail market using images captured with a video camera attached to the system. The system helps the customers to label desired fruits and…

计算机视觉与模式识别 · 计算机科学 2020-10-19 Frida Femling , Adam Olsson , Fernando Alonso-Fernandez

This paper presents a neural-enhanced probabilistic model and corresponding factor graph-based sum-product algorithm for robust localization and tracking in multipath-prone environments. The introduced hybrid probabilistic model consists of…

信号处理 · 电气工程与系统科学 2023-11-30 Alexander Venus , Erik Leitinger , Stefan Tertinek , Klaus Witrisal

Contemporary robots in precision agriculture focus primarily on automated harvesting or remote sensing to monitor crop health. Comparatively less work has been performed with respect to collecting physical leaf samples in the field and…

机器人学 · 计算机科学 2022-08-11 Merrick Campbell , Amel Dechemi , Konstantinos Karydis

Many automated operations in agriculture, such as weeding and plant counting, require robust and accurate object detectors. Robotic fruit harvesting is one of these, and is an important technology to address the increasing labour shortages…

计算机视觉与模式识别 · 计算机科学 2021-05-11 Jasper Brown , Salah Sukkarieh

The use of an efficient coverage planning method is key for autonomous navigation in agricultural environments, where a robot must cover large areas of crops. This paper generally reviews the current state of the art of coverage path…

机器人学 · 计算机科学 2024-07-03 Ismael Ait , Ernesto Kofman , Taihú Pire

This paper proposes a novel framework for fluorescence plant video processing. The plant research community is interested in the leaf-level photosynthetic analysis within a plant. A prerequisite for such analysis is to segment all leaves,…

计算机视觉与模式识别 · 计算机科学 2017-05-10 Xi Yin , Xiaoming Liu , Jin Chen , David M. Kramer

Continuous harvesting and storage of multiple fruits in a single operation allow robots to significantly reduce the travel distance required for repetitive back-and-forth movements. Traditional collision-free path planning algorithms, such…

机器人学 · 计算机科学 2025-01-10 Zhonghua Miao , Yang Chen , Lichao Yang , Shimin Hu , Ya Xiong

A viewing graph is a set of unknown camera poses, as the vertices, and the observed relative motions, as the edges. Solving the viewing graph is an essential step in a Structure-from-Motion procedure, where a set of relative motions is…

计算机视觉与模式识别 · 计算机科学 2021-08-31 Seyed-Mahdi Nasiri , Reshad Hosseini , Hadi Moradi