Semantic segmentation of 3d lidar data using deep learning: a review of projection-based methods
A Jhaldiyal, N Chaudhary - Applied Intelligence, 2023 - Springer
LiDAR sensor is an active remote sensing sensor that is increasingly used to capture 3D
information of real-world objects. Real-time decision-making applications such as …
information of real-world objects. Real-time decision-making applications such as …
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 …
applications. Recent works have been focused on using deep learning techniques, whereas …
Multi projection fusion for real-time semantic segmentation of 3d lidar point clouds
Semantic segmentation of 3D point cloud data is essential for enhanced high-level
perception in autonomous platforms. Furthermore, given the increasing deployment of …
perception in autonomous platforms. Furthermore, given the increasing deployment of …
Deep learning-based semantic segmentation of three-dimensional point cloud: a comprehensive review
Point cloud has emerged as the most popular three-dimensional (3D) data format in recent
years for several scientific and industrial applications. Point cloud semantic segmentation …
years for several scientific and industrial applications. Point cloud semantic segmentation …
Exploring semantic information extraction from different data forms in 3D point cloud semantic segmentation
A Zhang, S Li, J Wu, S Li, B Zhang - IEEE Access, 2023 - ieeexplore.ieee.org
As a critical step in 3D scene understanding, semantic segmentation of point clouds has
broad application scenarios, including intelligent driving, augmented reality, smart factories …
broad application scenarios, including intelligent driving, augmented reality, smart factories …
Are we hungry for 3D LiDAR data for semantic segmentation? A survey and experimental study
3D semantic segmentation is a fundamental task for robotic and autonomous driving
applications. Recent works have been focused on using deep learning techniques, whereas …
applications. Recent works have been focused on using deep learning techniques, whereas …
LiDAR-based SLAM under semantic constraints in dynamic environments
W Wang, X You, X Zhang, L Chen, L Zhang, X Liu - Remote Sensing, 2021 - mdpi.com
Facing the realistic demands of the application environment of robots, the application of
simultaneous localisation and mapping (SLAM) has gradually moved from static …
simultaneous localisation and mapping (SLAM) has gradually moved from static …
LiDAR-based real-time panoptic segmentation via spatiotemporal sequential data fusion
Fast and accurate semantic scene understanding is essential for mobile robots to operate in
complex environments. An emerging research topic, panoptic segmentation, serves such a …
complex environments. An emerging research topic, panoptic segmentation, serves such a …
Color image generation from lidar reflection data by using selected connection unet
In this paper, a modified encoder-decoder structured fully convolutional network (ED-FCN) is
proposed to generate the camera-like color image from the light detection and ranging …
proposed to generate the camera-like color image from the light detection and ranging …
Semantics-guided moving object segmentation with 3d lidar
Moving object segmentation (MOS) is a task to distinguish moving objects, eg, moving
vehicles and pedestrians, from the surrounding static environment. The segmentation …
vehicles and pedestrians, from the surrounding static environment. The segmentation …