Research Based on Laser Emission Circuit Design and Solid-State One-Dimensional Flash Optical Radar System Design

This research focuses on the development and modularization of a solid-state flash light detection and ranging (LiDAR). Applications include altitude measurement, industrial automation, collision warning, safety systems, autonomous driving, and water level monitoring.

Authors

Institutions

Publication Details

Published
2025-06-29
DOI
https://doi.org/10.23919/oecc/psc62146.2025.11109231
Primary Topic
Optical Systems and Laser Technology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research Based on Laser Emission Circuit Design and Solid-State One-Dimensional Flash Optical Radar System Design

Yu‐Shuo Chang, Cheng-Mu Tsai, Chun-Nien Liu, Chien‐Wei Huang et al.
Optical Systems and Laser Technology
article

Research Based on Laser Emission Circuit Design and Solid-State One-Dimensional Flash Optical Radar System Design

Yu‐Shuo Chang, Cheng-Mu Tsai, Chun-Nien Liu, Chien‐Wei Huang, Zhi Ting Ye, Wood-Hi Cheng
article en

Abstract

This research focuses on the development and modularization of a solid-state flash light detection and ranging (LiDAR). Applications include altitude measurement, industrial automation, collision warning, safety systems, autonomous driving, and water level monitoring.

National Chung Cheng University (TW), National Chung Hsing University (TW), National Taipei University (TW)
Affordable and clean energy
Openalex Percentile: Top 80%
Optical Systems and Laser Technology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.