Detailed Information
Cited 0 time in 
Cited 4 time in 
Cited 4 time in
Metadata Downloads
LIDAR simulation method for low-cost repetitive validation
- Authors
- Lee, Seongjo; Kang, Dahyeon; Cho, Seoungjae; Sim, Sungdae; Park, Yong Woon; Um, Kyhyun; Cho, Kyungeun
- Issue Date
- Dec-2015
- Publisher
- Springer Verlag
- Keywords
- LIDAR; Multiple sensors; Simulation; Unmanned vehicle; Virtual environment
- Citation
- Lecture Notes in Electrical Engineering, v.373, pp 237 - 242
- Pages
- 6
- Indexed
- SCOPUS
- Journal Title
- Lecture Notes in Electrical Engineering
- Volume
- 373
- Start Page
- 237
- End Page
- 242
- ISSN
- 1876-1100
1876-1119
- Abstract
- Developments in light detection and ranging (LIDAR) have enabled its application in unmanned automotive technology, and various methods using LIDAR are now being proposed. However, it is more difficult to obtain a ground truth dataset to evaluate the performance of algorithms that use a quantity of three-dimensional (3D) points as compared to those that require only 2D images. This paper describes an approach to creating a ground truth dataset for verifying a variety of algorithms by recording the data on detected objects through simulation in virtual space. This approach is able to verify the performance of algorithms in a variety of environments with less cost than the use of actual LIDAR. © Springer Science+Business Media Singapore 2015.
- Files in This Item
- There are no files associated with this item.
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Related Researcher
- Cho, Kyung Eun
- College of Advanced Convergence Engineering (Department of Computer Science and Artificial Intelligence)