Daniel Flippo

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 13

Top Topics

Semantic Segmentation

Ground Vehicles

Comparative Study

Top Venues

Comput. Electron. Agric.

J. Field Robotics

Publications

Raiyan Rahman, Christopher Indris, Goetz Bramesfeld, Tianxiao Zhang, Kaidong Li, Xiangyu Chen, Ivan Grijalva, Brian McCornack, Daniel Flippo, Ajay Sharda, Guanghui Wang
A New Dataset and Comparative Study for Aphid Cluster Detection and Segmentation in Sorghum Fields. CoRR (2024)
Raiyan Rahman, Christopher Indris, Goetz Bramesfeld, Tianxiao Zhang, Kaidong Li, Xiangyu Chen, Ivan Grijalva, Brian McCornack, Daniel Flippo, Ajay Sharda, Guanghui Wang
A New Dataset and Comparative Study for Aphid Cluster Detection and Segmentation in Sorghum Fields. J. Imaging 10 (5) (2024)
Tianxiao Zhang, Kaidong Li, Xiangyu Chen, Cuncong Zhong, Bo Luo, Ivan Grijalva Teran, Brian McCornack, Daniel Flippo, Ajay Sharda, Guanghui Wang
Aphid Cluster Recognition and Detection in the Wild Using Deep Learning Models. CoRR (2023)
Tianxiao Zhang, Kaidong Li, Xiangyu Chen, Cuncong Zhong, Bo Luo, Ivan Grijalva Teran, Brian McCornack, Daniel Flippo, Ajay Sharda, Guanghui Wang
A New Dataset and Comparative Study for Aphid Cluster Detection. CoRR (2023)
Raiyan Rahman, Christopher Indris, Tianxiao Zhang, Kaidong Li, Brian McCornack, Daniel Flippo, Ajay Sharda, Guanghui Wang
On the Real-Time Semantic Segmentation of Aphid Clusters in the Wild. CVPR Workshops (2023)
Chetan Badgujar, Sanjoy Das, Dania Martinez-Figueora, Daniel Flippo, Stephen J. Welch
Deep neural networks to predict autonomous ground vehicle behavior on sloping terrain field. J. Field Robotics 40 (4) (2023)
Raiyan Rahman, Christopher Indris, Tianxiao Zhang, Kaidong Li, Brian McCornack, Daniel Flippo, Ajay Sharda, Guanghui Wang
On the Real-Time Semantic Segmentation of Aphid Clusters in the Wild. CoRR (2023)
Austin Schmitz, Chetan Badgujar, Hasib Mansur, Daniel Flippo, Brian McCornack, Ajay Sharda
Design of a Reconfigurable Crop Scouting Vehicle for Row Crop Navigation: A Proof-of-Concept Study. Sensors 22 (16) (2022)
Chetan Badgujar, Daniel Flippo, Stephen M. Welch
Artificial neural network to predict traction performance of autonomous ground vehicle on a sloped soil bin and uncertainty analysis. Comput. Electron. Agric. 196 (2022)
Dania Martinez-Figueora, Sanjoy Das, Chetan Badgujar, Daniel Flippo, Stephen J. Welch
A Distributed Approach for Robotic Coverage Path Planning Under Steep Slope Terrain Conditions. SSCI (2022)
Sanjoy Das, Stephen M. Welch, Daniel Flippo
Recurrent Neural Network Based Multi-Robot Route Planning for Steep-Land Harvesting Systems. IIAI-AAI (2019)
Devin L. Mangus, Ajay Sharda, Daniel Flippo, Ryan Strasser, Terry Griffin
Development of high-speed camera hardware and software package to evaluate real-time electric seed meter accuracy of a variable rate planter. Comput. Electron. Agric. 142 (2017)
Elisabeth Frink, Daniel Flippo, Ajay Sharda
Invisible Leash: Object-Following Robot. J. Autom. Mob. Robotics Intell. Syst. 10 (1) (2016)
Daniel Flippo, David P. Miller
Suspension and wheel evaluation and experimentation testbed for planetary rovers. Int. J. Mechatronics Autom. 1 (1) (2011)
Daniel Flippo, Richard Heller, David P. Miller
Turning Efficiency Prediction for Skid Steer Robots Using Single Wheel Testing. FSR (2009)