Real‐time moving object detection and removal from 3D pointcloud data for humanoid navigation in dense GPS‐denied environments-Reference-Cited by-同舟云学术

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Real‐time moving object detection and removal from 3D pointcloud data for humanoid navigation in dense GPS‐denied environments

Published:2020-10-12 Issue:12 Volume:2 Page:
ISSN:2577-8196
Container-title:Engineering Reports
language:en
Short-container-title:Engineering Reports

Author:

Kumar Rath Prabin¹,Ramirez‐Serrano Alejandro²^ORCID,Kumar Pratihar Dilip³

Affiliation:

1. Department of Computer Science and Engineering National Institute of Technology Rourkela India

2. Department of Mechanical and Manufacturing Engineering University of Calgary Calgary Alberta Canada

3. Department of Mechanical Engineering Indian Institute of Technology ‐ Kharagpur West Bengal India

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/eng2.12275

Reference36 articles.

1. Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age

2. Visual SLAM algorithms: a survey from 2010 to 2016

3. SiritanawanP PrasanjithMD WangD. 3d feature points detection on sparse and non‐uniform pointcloud for slam. Paper presented at: Proceedings of the 2017 18th International Conference on Advanced Robotics (ICAR) Hong Kong;2017:112‐117; IEEE.http://dx.doi.org/10.1109/ICAR.2017.8023504.

4. Mobile robot mapping in populated environments

5. Iterative point matching for registration of free-form curves and surfaces

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1. Evaluating Safety Metrics for Vulnerable Road Users at Urban Traffic Intersections Using High-Density Infrastructure LiDAR System;SAE Technical Paper Series;2024-04-09

2. FADOR: Fast and Accurate Dynamic Object Removal for Indoor Scenes;IEEE Transactions on Instrumentation and Measurement;2024

3. Comparison of Infrastructure- and Onboard Vehicle-Based Sensor Systems in Measuring Operational Safety Assessment (OSA) Metrics;SAE Technical Paper Series;2023-04-11

4. Improvement of 3D-SLAM Accuracy by Removing Moving Objects on 3D-LiDAR Point Cloud Using Image Recognition in Web Camera;2022 22nd International Conference on Control, Automation and Systems (ICCAS);2022-11-27

5. Adversarial Training on Point Clouds for Sim-to-Real 3D Object Detection;IEEE Robotics and Automation Letters;2021-10

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