Picture for Chris McCool

Chris McCool

A Dataset and Benchmark for Shape Completion of Fruits for Agricultural Robotics

Add code
Jul 18, 2024
Viaarxiv icon

BonnBot-I Plus: A Bio-diversity Aware Precise Weed Management Robotic Platform

Add code
May 15, 2024
Viaarxiv icon

PAg-NeRF: Towards fast and efficient end-to-end panoptic 3D representations for agricultural robotics

Add code
Sep 11, 2023
Viaarxiv icon

BonnBot-I: A Precise Weed Management and Crop Monitoring Platform

Add code
Jul 24, 2023
Viaarxiv icon

Panoptic One-Click Segmentation: Applied to Agricultural Data

Add code
Mar 15, 2023
Viaarxiv icon

Panoptic Mapping with Fruit Completion and Pose Estimation for Horticultural Robots

Add code
Mar 15, 2023
Viaarxiv icon

Explicitly incorporating spatial information to recurrent networks for agriculture

Add code
Jun 27, 2022
Figure 1 for Explicitly incorporating spatial information to recurrent networks for agriculture
Figure 2 for Explicitly incorporating spatial information to recurrent networks for agriculture
Figure 3 for Explicitly incorporating spatial information to recurrent networks for agriculture
Figure 4 for Explicitly incorporating spatial information to recurrent networks for agriculture
Viaarxiv icon

Towards Autonomous Crop-Agnostic Visual Navigation in Arable Fields

Add code
Sep 24, 2021
Figure 1 for Towards Autonomous Crop-Agnostic Visual Navigation in Arable Fields
Figure 2 for Towards Autonomous Crop-Agnostic Visual Navigation in Arable Fields
Figure 3 for Towards Autonomous Crop-Agnostic Visual Navigation in Arable Fields
Figure 4 for Towards Autonomous Crop-Agnostic Visual Navigation in Arable Fields
Viaarxiv icon

Combining Local and Global Viewpoint Planning for Fruit Coverage

Add code
Aug 18, 2021
Figure 1 for Combining Local and Global Viewpoint Planning for Fruit Coverage
Figure 2 for Combining Local and Global Viewpoint Planning for Fruit Coverage
Figure 3 for Combining Local and Global Viewpoint Planning for Fruit Coverage
Figure 4 for Combining Local and Global Viewpoint Planning for Fruit Coverage
Viaarxiv icon

Virtual Temporal Samples for Recurrent Neural Networks: applied to semantic segmentation in agriculture

Add code
Jun 18, 2021
Figure 1 for Virtual Temporal Samples for Recurrent Neural Networks: applied to semantic segmentation in agriculture
Figure 2 for Virtual Temporal Samples for Recurrent Neural Networks: applied to semantic segmentation in agriculture
Figure 3 for Virtual Temporal Samples for Recurrent Neural Networks: applied to semantic segmentation in agriculture
Figure 4 for Virtual Temporal Samples for Recurrent Neural Networks: applied to semantic segmentation in agriculture
Viaarxiv icon