HIGHLIGHTS
- who: TYPE and colleagues from the University of Catania, Italy have published the research work: January 2023 10.3389/frobt.2022.982581, in the Journal: (JOURNAL)
- what: In the approach, spatial-temporal analysis is applied to a video sequence. The work presented in Christiansen et_al combines convolutional neural_network (CNN) and background subtraction algorithms for anomaly detection in grass fields. This approach showed success in detecting heavily occluded, distant and unknown objects. The work presented in_(Skoczeu0144 et_al, 2021) proposes an obstacle detection and mapping system for a lawn mower robot based on RGB-D cameras . . .
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