Methods and datasets on semantic segmentation: A review

H Yu, Z Yang, L Tan, Y Wang, W Sun, M Sun, Y Tang - Neurocomputing, 2018 - Elsevier
Semantic segmentation, also called scene labeling, refers to the process of assigning a
semantic label (eg car, people, and road) to each pixel of an image. It is an essential data …

Recent trends in social aware robot navigation: A survey

K Charalampous, I Kostavelis, A Gasteratos - Robotics and Autonomous …, 2017 - Elsevier
With the robots tending to accumulate more and more capabilities beyond the level of acting
in a deterministic fashion, the idea of introducing them into our every day lives seems to be …

Openmask3d: Open-vocabulary 3d instance segmentation

A Takmaz, E Fedele, RW Sumner, M Pollefeys… - ar**, perception and interaction: A survey
S Garg, N Sünderhauf, F Dayoub… - … and Trends® in …, 2020 - nowpublishers.com
For robots to navigate and interact more richly with the world around them, they will likely
require a deeper understanding of the world in which they operate. In robotics and related …

Are we hungry for 3D LiDAR data for semantic segmentation? A survey of datasets and methods

B Gao, Y Pan, C Li, S Geng… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
3D semantic segmentation is a fundamental task for robotic and autonomous driving
applications. Recent works have been focused on using deep learning techniques, whereas …