Home › Categories › Technology› Fast RANSAC-Based Localization Algorithm For LIDAR-Only Environments

Fast RANSAC-Based Localization Algorithm For LIDAR-Only Environments.pdf

Localization-CASE07.pdf
Preview of Fast RANSAC-Based Localization Algorithm for LIDAR-Only Environments
🔗 Source: centropiaggio.unipi.it
📊 Size: 187 KB
📄 Pages: 6 pages
⬇️ Downloads: 435

Summary

The approach focuses on real-time performance, addressing challenges like noisy data, outliers, and dynamic environments.

Key Components:

1. RANSAC with Huber Kernel: Combines the RANSAC algorithm (random sampling and consensus) with a Huber kernel to handle noise and outliers in LIDAR point clouds. This allows for robust registration between two sets of points.

2. Dynamic Environment Handling: The RANSAC algorithm iteratively generates and votes on multiple hypotheses, enabling it to detect rigidity even when parts of the scene are moving relative to each other.

3. Integration with EKF: The registered point clouds are used in conjunction with an Extended Kalman Filter (EKF) to track the robot's trajectory over time, ultimately providing accurate localization.

Contribution:

The authors offer a novel solution that:

- Is both fast and accurate, suitable for online robotic applications.
- Handles dynamic environments more effectively than existing methods.
- Utilizes a simple implementation with minimal complexity overhead.

Simulations and Experiments: The proposed approach is validated through simulations and experimental results, demonstrating its feasibility for pure localization in unknown environments without a pre-mapped frame of reference.

Download File

Description

This paper presents a fast and robust localization algorithm for LIDAR-based navigation, utilizing RANSAC (Random Sample Consensus) to handle noise, outliers, and dynamic environments, offering a practical solution for real-time applications.

Technical Information

  • File Format: PDF
  • File Size: 187 KB
  • Pages: 6
  • Language: EN
  • Total Downloads: 435
  • Last Updated: 2 weeks ago

Document Overview

This PDF document about Fast RANSAC-Based Localization Algorithm for LIDAR-Only Environments provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Fast RANSAC-Based Localization Algorithm for LIDAR-Only Environments.

Related Topics

If you're interested in Fast RANSAC-Based Localization Algorithm for LIDAR-Only Environments, you might also want to explore:

Fast guideFast tutorialRANSAC-Based guideRANSAC-Based tutorialLocalization guideLocalization tutorialAlgorithm guideAlgorithm tutorialLIDAR-Only guideLIDAR-Only tutorialEnvironments guideEnvironments tutorial

Related Categories

Business & Finance
41204 documents
Education & Learning
22711 documents
Health & Wellness
8956 documents

Related Documents

Preview of Sound Localization Algorithm
PDF file

Sound Localization Algorithm

317 KBMaike Gerhard, Patrick Schillberg, Hermann Wagner, Hartmut FührEN8 pages
A localization algorithm based on head-related transfer functions (HRTFs) is introduced, which minimizes the Euclidean distance to...
Download
Preview of Full text
PDF file

Full text

1.45 MBEN14 pages
Researchers propose a solution for localizing inexpensive robots with low-bandwidth sensors using approximate dead-reckoning and infrared sensors...
Download
Preview of [pdf]
PDF file

[pdf]

4.12 MBEN16 pages
Researchers propose Pseudo-LiDAR, a method to convert image-based depth maps into LiDAR-like representations, allowing the use of existing...
Download
Preview of "A fast algorithm for the multiplication of generalized Hilbert matrices with vectors"
PDF file

"A fast algorithm for the multiplication of generalized Hilbert matrices with vectors"

930 KBEN10 pages
A fast algorithm with a time complexity of O(n(logn)^2) is presented for the multiplication of generalized Hilbert matrices with vectors.
Download
Preview of Mobile Localization
PDF file

Mobile Localization

167 KBEN7 pages
Mobile vehicle localization in unstructured environments is a nonlinear problem that can be solved using differential-geometric nonlinear system...
Download

Download Fast RANSAC-Based Localization Algorithm for LIDAR-Only Environments eBooks for free and learn more about Fast RANSAC-Based Localization Algorithm for LIDAR-Only Environments. These books contain exercises and tutorials to improve your practical skills, at all levels!

Not satisfied with this document? We have related documents to Fast RANSAC-Based Localization Algorithm for LIDAR-Only Environments, try searching with similar keywords: Fast RANSAC-Based Localization Algorithm for LIDAR-Only Environments, "Hinder och möjliggörare för 1.5°-livsstilar: Ytliga och djupgående strukturella faktorer som påverkar potentialen för hållbar k, Ändring av genomföranderam för en europeisk plattform för utbyte av balansenergi från frekvensåterställn ingsreserver med manuell, Rekommendationer för vaccination mot covid-19 för särskilda grupper av barn -, förstudie för att utvärdera förutsättningarna att genom en innovationsupphandli ng utveckla en drifttjänst för geoenergilager, Självkänsla och KBT ‐ Påverkas självkänslan vid KBT för depression och ångesttillstånd?Se lf‐esteem and CBT ‐ How does CBT for de, Matglädje för alla: en guide till rätt konsistens för olika behov, Benewake TFMINI-S Micro LIDAR Module UART (12m) - LiDAR Auto-focus Application

You can download PDF versions of the user's guide, manuals and ebooks about Fast RANSAC-Based Localization Algorithm for LIDAR-Only Environments, you can also find and download for free A free online manual (notices) with beginner and intermediate, Downloads Documentation, You can download PDF files (or DOC and PPT) about Fast RANSAC-Based Localization Algorithm for LIDAR-Only Environments for free, but please respect copyrighted ebooks.