Fast segmentation of 3d point clouds: A paradigm on lidar data for autonomous vehicle applications

D Zermas, I Izzat… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
The recent activity in the area of autonomous vehicle navigation has initiated a series of
reactions that stirred the automobile industry, pushing for the fast commercialization of this …

Patchwork: Concentric zone-based region-wise ground segmentation with ground likelihood estimation using a 3D LiDAR sensor

H Lim, M Oh, H Myung - IEEE Robotics and Automation Letters, 2021 - ieeexplore.ieee.org
Ground segmentation is crucial for terrestrial mobile platforms to perform navigation or
neighboring object recognition. Unfortunately, the ground is not flat, as it features steep …

Static map generation from 3D LiDAR point clouds exploiting ground segmentation

M Arora, L Wiesmann, X Chen, C Stachniss - Robotics and Autonomous …, 2023 - Elsevier
A clean and reliable map of the environment is key for a variety of robotic tasks including
localization, path planning, and navigation. Dynamic objects are an inherent part of our …

Ground segmentation based on loopy belief propagation for sparse 3D point clouds

M Zhang, DD Morris, R Fu - 2015 International Conference on …, 2015 - ieeexplore.ieee.org
Ground segmentation is an important pre-processing task for local environment perception
using 3D LIDAR, and it is particularly challenging in unstructured environments with rough …

Battery-driven dynamic power management of portable systems

L Benini, G Castelli, A Macii, B Macii… - … Symposium on System …, 2000 - ieeexplore.ieee.org
Battery life-time extension is a primary design objective for portable systems. Traditionally,
battery life-time has been prolonged mainly by reducing average power consumption of …

Human–robot communications of probabilistic beliefs via a Dirichlet process mixture of statements

R Tse, M Campbell - IEEE Transactions on Robotics, 2018 - ieeexplore.ieee.org
This paper presents a natural framework for information sharing in cooperative tasks
involving humans and robots. In this framework, all information gathered over time by a …

A kalman-filtering-based approach for improving terrain mapping in off-road autonomous vehicles

I Parra-Tsunekawa, J Ruiz-del-Solar… - Journal of Intelligent & …, 2015 - Springer
The generation of accurate terrain maps while navigating over off-road, irregular terrains is a
complex challenge, due to the difficulties in the estimation of the pose of the laser …

GPF-Plus: a three-stage MLS point cloud ground segmentation method based on ground plane fitting

D Xiao, L Guo, R Liu, J Liu - Measurement Science and …, 2024 - iopscience.iop.org
Point cloud ground segmentation is a key preprocessing task in mobile laser scanning
(MLS)-based measurement and sensing. However, ground segmentation currently faces …

Adaptive Patchwork: Real-time Ground Segmentation for 3D Point Cloud with Adaptive Partitioning and Spatial-Temporal Context

H Ren, M Wang, W Li, C Liu… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
Ground segmentation is a fundamental task in the field of 3D perception using 3D LiDAR
sensors. Several ground segmentation methods have been proposed, but they often suffer …

Conditionally factorized DDF for general distributed Bayesian estimation

N Ahmed - … International Conference on Multisensor Fusion and …, 2014 - ieeexplore.ieee.org
Bayesian decentralized data fusion (DDF) is challenging to implement for problems
modeled by arbitrarily complex non-Gaussian pdfs, especially those with hierarchical or …