Gerardus Croonen

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4 Conference Proceedings with Oral Presentation
2 Article
1 Poster presentation without proceedings

AI-based Detection and Quantification of Soil Adhesion, Excess Vegetation, Damage and Rot on Sugar Beets
Croonen, G., Trondl, A. & Steininger, D., 27 Feb 2024.
Research output: Poster presentation without proceedings › peer-review

Open Access
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20 Downloads (Pure)
The CropAndWeed Dataset: A Multi-Modal Learning Approach for Efficient Crop and Weed Manipulation
Steininger, D. (Speaker), Trondl, A., Croonen, G., Simon, J. & Widhalm, V., 2023, Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 10 p.
Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

Open Access
Multi-modal aerial sensing and scene understanding for search-and-rescue tasks
Beleznai, C. (Speaker), Steininger, D. & Croonen, G., 2019, Proceedings of the 4th Int. Symposium on Artificial Intelligence and Robotics. 17 p.
Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review
Multi-modal human detection from aerial views by fast shape-aware clustering and classification
Beleznai, C. (Speaker), Steininger, D., Croonen, G. & Broneder, E., 2018, Proceedings of the 10th International Workshop on Pattern Recognition in Remote Sensing (PRRS 2018). 7 p.
Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review
An online quality assessment framework for automated welding processes
Fronthaler, H., Croonen, G., Biber, J., Heber, M. & Rüther, M., 2013, In: International Journal of Advanced Manufacturing Technology. 2013, p. 10 1 p.
Research output: Contribution to journal › Article › peer-review

Open Access

IIRB Poster Award - Poster: AI-based detection and quantification of soil adhesion, excess vegetation, damage and rot on sugar beets
Croonen, G. (Recipient), Trondl, A. (Recipient) & Steininger, D. (Recipient), 28 Feb 2024
Prize: Prize/Award › Poster award

File

CropAndWeed Dataset
Steininger, D. (Creator), Trondl, A. (Contributor), Croonen, G. (Contributor), Widhalm, V. (Contributor) & Simon, J. (Contributor), Jan 2023
https://github.com/cropandweed/cropandweed-dataset
Dataset

Gerardus Croonen

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Research output

AI-based Detection and Quantification of Soil Adhesion, Excess Vegetation, Damage and Rot on Sugar Beets

The CropAndWeed Dataset: A Multi-Modal Learning Approach for Efficient Crop and Weed Manipulation

Multi-modal aerial sensing and scene understanding for search-and-rescue tasks

Multi-modal human detection from aerial views by fast shape-aware clustering and classification

An online quality assessment framework for automated welding processes

Prizes

IIRB Poster Award - Poster: AI-based detection and quantification of soil adhesion, excess vegetation, damage and rot on sugar beets

Datasets

CropAndWeed Dataset