Advancing 3D point cloud understanding through deep transfer learning: A comprehensive survey
The 3D point cloud (3DPC) has significantly evolved and benefited from the advance of
deep learning (DL). However, the latter faces various issues, including the lack of data or …
deep learning (DL). However, the latter faces various issues, including the lack of data or …
Dynamic Object Detection in Range data using Spatiotemporal Normals
On the journey to enable robots to interact with the real world where humans, animals, and
unpredictable elements are acting as independent agents; it is crucial for robots to have the …
unpredictable elements are acting as independent agents; it is crucial for robots to have the …
Towards Robust Perception for Assistive Robotics: An RGB-Event-LiDAR Dataset and Multi-Modal Detection Pipeline
The increasing adoption of human-robot interaction presents opportunities for technology to
positively impact lives, particularly those with visual impairments, through applications such …
positively impact lives, particularly those with visual impairments, through applications such …
[PDF][PDF] Dynamic Object Detection in Range data using Spatiotemporal Normals
C Le Gentil, R Guenot-Falque… - … Conference on Robotics …, 2023 - opus.lib.uts.edu.au
On the journey to enable robots to interact with the real world where humans, animals, and
unpredictable elements are acting as independent agents; it is crucial for robots to have the …
unpredictable elements are acting as independent agents; it is crucial for robots to have the …
[图书][B] Gaussian Process Preintegration for Inertial-Aided Navigation Systems
C Le Gentil - 2021 - search.proquest.com
To perform any degree of autonomy, a system needs to localise itself, generally requiring
knowledge about its environment. While satellite technologies, like GPS or Galileo, allow …
knowledge about its environment. While satellite technologies, like GPS or Galileo, allow …