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Semantics-Aware Next-best-view Planning for Efficient Search and Detection of Task-relevant Plant Parts
Active vision is a promising approach to viewpoint planning, which helps robots to deliberately plan camera viewpoints to overcome occlusion and improve perception accuracy.
Development and evaluation of automated localisation and reconstruction of all fruits on tomato plants in a greenhouse based on multi-view perception and 3D multi-object tracking
The accuracy of the representation was evaluated in a real-world environment, where successful representation and localisation of tomatoes in tomato plants were achieved, despite high levels of occlusion, with the total count of tomatoes estimated with a maximum error of 5. 08% and the tomatoes tracked with an accuracy up to 71. 47%.
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