Overview of LiDAR point cloud target detection methods based on deep learning
S Huang, L Liu, X Fu, J Dong, F Huang, P Lang - Sensor Review, 2022 - emerald.com
Purpose The purpose of this paper is to summarize the existing point cloud target detection
algorithms based on deep learning, and provide reference for researchers in related fields …
algorithms based on deep learning, and provide reference for researchers in related fields …
Virtual reality point cloud annotation
This work presents a hybrid immersive headset-and desktop-based virtual reality (VR)
visualization and annotation system for point clouds, oriented towards application on laser …
visualization and annotation system for point clouds, oriented towards application on laser …
Lenet: Lightweight and efficient lidar semantic segmentation using multi-scale convolution attention
B Ding - arXiv preprint arXiv:2301.04275, 2023 - arxiv.org
LiDAR-based semantic segmentation is critical in the fields of robotics and autonomous
driving as it provides a comprehensive understanding of the scene. This paper proposes a …
driving as it provides a comprehensive understanding of the scene. This paper proposes a …
FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation
LiDAR segmentation is crucial for autonomous driving systems. The recent range-view
approaches are promising for real-time processing. However, they suffer inevitably from …
approaches are promising for real-time processing. However, they suffer inevitably from …
Domain Adaptive LiDAR Point Cloud Segmentation via Density-Aware Self-Training
Domain adaptive LiDAR point cloud segmentation aims to learn a target segmentation
model from labeled source point clouds and unlabelled target point clouds, which has …
model from labeled source point clouds and unlabelled target point clouds, which has …
Daps3d: Domain adaptive projective segmentation of 3d lidar point clouds
LiDARs are one of the key sources of reliable environmental ranging information for
autonomous vehicles. However, segmentation of 3D scene elements (roads, buildings …
autonomous vehicles. However, segmentation of 3D scene elements (roads, buildings …
Understanding the challenges when 3d semantic segmentation faces class imbalanced and ood data
Y Pan, F Xie, H Zhao - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
3D semantic segmentation (3DSS) is an essential process in the creation of a safe
autonomous driving system. However, deep learning models for 3D semantic segmentation …
autonomous driving system. However, deep learning models for 3D semantic segmentation …
Domain Adaptive LiDAR Point Cloud Segmentation with 3D Spatial Consistency
Domain adaptive LiDAR point cloud segmentation aims to learn an effective target
segmentation model from labelled source data and unlabelled target data, which has …
segmentation model from labelled source data and unlabelled target data, which has …
Semantic slam for mobile robot with human-in-the-loop
Z Ouyang, C Zhang, J Cui - International Conference on Collaborative …, 2022 - Springer
Mobile robots are an important participant in today's modern life, and have huge commercial
application prospects in the fields of unmanned security inspection, logistics, express …
application prospects in the fields of unmanned security inspection, logistics, express …
TreeScope: An Agricultural Robotics Dataset for LiDAR-Based Mapping of Trees in Forests and Orchards
Data collection for forestry, timber, and agriculture currently relies on manual techniques
which are labor-intensive and time-consuming. We seek to demonstrate that robotics offers …
which are labor-intensive and time-consuming. We seek to demonstrate that robotics offers …