A Study on Efficient Optimization Methods for Low-cost 3D LiDAR-based Object Detection

Journal of Institute of Control Robotics and Systems 2026

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Authors: Junhyeong Kim, Minchang Kim, Hyungjun Park, Doseon Kim, Haneul Jang, Taewoong Kim, Chang Mook Kang
DOI: 10.5302/j.icros.2026.25.0210
Cited by: 0
References: 7

Abstract

Recent research has focused on integrating low-cost 3D LiDAR sensors into vehicles to advance autonomous driving technologies. However, most 3D object detection algorithms are developed and validated using high-cost 3D LiDAR sensors. Therefore, this study evaluates the performance of current 3D object detection algorithms within a low-cost 3D LiDAR environment and provides a comparative analysis to identify their effectiveness.

Fields of Study & Subjects

Autonomous Vehicle Technology and Safety Advanced Neural Network Applications Robotics and Sensor-Based Localization

Publication details

Journal / source
Journal of Institute of Control Robotics and Systems
Volume
32
Issue
1
Pages
22–28
Publication date
1 January 2026
Language
EN