Review of automatic processing of topography and surface feature identification LiDAR data using machine learning techniques
Machine Learning (ML) applications on Light Detection And Ranging (LiDAR) data have
provided promising results and thus this topic has been widely addressed in the literature …
provided promising results and thus this topic has been widely addressed in the literature …
Panoptic segmentation: A review
Image segmentation for video analysis plays an essential role in different research fields
such as smart city, healthcare, computer vision and geoscience, and remote sensing …
such as smart city, healthcare, computer vision and geoscience, and remote sensing …
Dynamic fusion module evolves drivable area and road anomaly detection: A benchmark and algorithms
Joint detection of drivable areas and road anomalies is very important for mobile robots.
Recently, many semantic segmentation approaches based on convolutional neural …
Recently, many semantic segmentation approaches based on convolutional neural …
Joint scene flow estimation and moving object segmentation on rotational LiDAR data
LiDAR-based scene flow estimation (SFE) and moving object segmentation (MOS) are
important tasks with broad-ranging applications in autonomous driving, such as traffic …
important tasks with broad-ranging applications in autonomous driving, such as traffic …
Meta-rangeseg: Lidar sequence semantic segmentation using multiple feature aggregation
LiDAR sensor is essential to the perception system in autonomous vehicles and intelligent
robots. To fulfill the real-time requirements in real-world applications, it is necessary to …
robots. To fulfill the real-time requirements in real-world applications, it is necessary to …
GNSS outlier mitigation via graduated non-convexity factor graph optimization
Accurate and globally referenced global navigation satellite system (GNSS) based vehicular
positioning can be achieved in outlier-free open areas. However, the performance of GNSS …
positioning can be achieved in outlier-free open areas. However, the performance of GNSS …
Multiframe-to-multiframe network for video denoising
Most existing studies performed video denoising by using multiple adjacent noisy frames to
recover one clean frame; however, despite achieving relatively good quality for each …
recover one clean frame; however, despite achieving relatively good quality for each …
MotionBEV: Attention-Aware Online LiDAR Moving Object Segmentation With Bird's Eye View Based Appearance and Motion Features
B Zhou, J Xie, Y Pan, J Wu, C Lu - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
Identifying moving objects is an essential capability for autonomous systems, as it provides
critical information for pose estimation, navigation, collision avoidance, and static map …
critical information for pose estimation, navigation, collision avoidance, and static map …
Online static point cloud map construction based on 3D point clouds and 2D images
P Chi, H Liao, Q Zhang, X Wu, J Tian, Z Wang - The Visual Computer, 2024 - Springer
With the development of science and technology, robots have been applied to many fields to
free people's hands. Environment perception and map construction are one of the key …
free people's hands. Environment perception and map construction are one of the key …
Fine-grained patch segmentation and rasterization for 3-d point cloud attribute compression
Due to the high dimensionality of point cloud data and the irregularity and complexity of its
geometric structure, effective attribute compression remains a very challenging task. Many …
geometric structure, effective attribute compression remains a very challenging task. Many …