We propose a sensor system that will form part of such a safe navigation system that is able to robustly identify and localise people in a densely vegetated ...

We propose a sensor system that will form part of such a safe navigation system that is able to robustly identify and localise people in a densely vegetated ...

Robust human instance segmentation in a challenging forest environment ... instance segmentation, bounding-box object detection, and person keypoint detection.

We propose a sensor system that will form part of such a safe navigation system that is able to robustly identify and localise people in a densely vegetated ...

Oct 7, 2024 · Robust human instance segmentation in a challenging forest environment. ... robust detection of people in forests. IVCNZ 2019: 1-6; 2017. [j3].

Dec 18, 2021 · Robust human instance segmentation in a challenging forest environment 36th International Conference on Image and Vision Computing New ...

... Robust human instance segmentation in a challenging forest environment. Conference Paper. Dec 2021. Kapila Pahalawatta · Jaco Fourie · Johan Potgieter ...

This review covers the challenges, progress, and application of these strategies in ecological monitoring, forest inventory, and tree species classification.

This study presents an adjusted Mask R-CNN Deep Learning approach for detecting and segmenting standing dead trees in a mixed dense forest from CIR aerial ...

Two main challenges remain regarding instance segmentation in forest environments. The distinction between individual instances and the background (stuff ...