3D Mask-Based Shape Loss Function for LIDAR Data for Improved 3D Object Detection

R. Park; C. Lee

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

3D Mask-Based Shape Loss Function for LIDAR Data for Improved 3D Object Detection

Topics: Autonomous Vehicles and Automated Driving; Pattern Recognition for Vehicles

In Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems VEHITS - Volume 1, 305-312, 2023 , Prague, Czech Republic

Authors: R. Park and C. Lee

Affiliation: Dept. of Electric and Electronic Engineering, Yonsei University, Republic of Korea

Keyword(s): LIDAR, 3D Modelling, Shape Loss, Objection Detection, Autonomous Driving, Adaptive Ground ROI Estimation.

Abstract: In this paper, we propose a 3D shape loss function for improved 3D object detection for LIDAR data. As the LiDAR (Light Detection And Ranging) sensor plays a key role in many autonomous driving techniques, 3D object detection using LiDAR data has become an important issue. Due to inaccurate height estimation, 3D object detection methods using LiDAR data produce false positive errors. We propose a new 3D shape loss function based on 3D masks for improved performance. To accurately estimate ground ROI areas, we first apply an adaptive ground ROI estimation method to accurately estimate ground ROIs and then use the shape loss function to reduce false positive errors. Experimental shows some promising results.

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 18.220.178.207

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

Paper citation in several formats:

Park, R. and Lee, C. (2023). 3D Mask-Based Shape Loss Function for LIDAR Data for Improved 3D Object Detection. In Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS; ISBN 978-989-758-652-1; ISSN 2184-495X, SciTePress, pages 305-312. DOI: 10.5220/0011966800003479

@conference{vehits23,
author={R. Park. and C. Lee.},
title={3D Mask-Based Shape Loss Function for LIDAR Data for Improved 3D Object Detection},
booktitle={Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS},
year={2023},
pages={305-312},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011966800003479},
isbn={978-989-758-652-1},
issn={2184-495X},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS
TI - 3D Mask-Based Shape Loss Function for LIDAR Data for Improved 3D Object Detection
SN - 978-989-758-652-1
IS - 2184-495X
AU - Park, R.
AU - Lee, C.
PY - 2023
SP - 305
EP - 312
DO - 10.5220/0011966800003479
PB - SciTePress