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Navigation-oriented scene understanding for robotic autonomy: Learning to segment driveability in egocentric images
G Humblot-Renaux, L Marchegiani… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
This work tackles scene understanding for outdoor robotic navigation, solely relying on
images captured by an on-board camera. Conventional visual scene understanding …
images captured by an on-board camera. Conventional visual scene understanding …
[HTML][HTML] From CAD models to soft point cloud labels: An automatic annotation pipeline for cheaply supervised 3D semantic segmentation
We propose a fully automatic annotation scheme that takes a raw 3D point cloud with a set
of fitted CAD models as input and outputs convincing point-wise labels that can be used as …
of fitted CAD models as input and outputs convincing point-wise labels that can be used as …
[PDF][PDF] World State-dependent Action Graph: A Representation of Action Possibility and Its Variations in Real Space based on World State.
For intelligent systems, it is important to understand the action possibility for agent in real
space. As the action possibility varies with the subsystem configuration of the agent and its …
space. As the action possibility varies with the subsystem configuration of the agent and its …