LWIR and MWIR fusion algorithm comparison using image metrics

2005 ◽  
Author(s):  
S. K. Chari ◽  
J. D. Fanning ◽  
S. M. Salem ◽  
A. L. Robinson ◽  
C. E. Halford
Keyword(s):  
Fusion Algorithm ◽  
Image Metrics ◽  
Algorithm Comparison

scholarly journals LIDAR Scan Matching in Off-Road Environments

Robotics ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 35 ◽  
Author(s):  
Hao Fu ◽  
Rui Yu
Keyword(s):  
Urban Environment ◽  
Real World ◽  
Performance Indicators ◽  
Fusion Algorithm ◽  
Scan Matching ◽  
Two Stage ◽  
Critical Step ◽  
Land Vehicle ◽  
Algorithm Comparison ◽  
Score Map

Accurately matching the LIDAR scans is a critical step for an Autonomous Land Vehicle (ALV). Whilst most previous works have focused on the urban environment, this paper focuses on the off-road environment. Due to the lack of a publicly available dataset for algorithm comparison, a dataset containing LIDAR pairs with varying amounts of offsets in off-road environments is firstly constructed. Several popular scan matching approaches are then evaluated using this dataset. Results indicate that global approaches, such as Correlative Scan Matching (CSM), perform best on large offset datasets, whilst local scan matching approaches perform better on small offset datasets. To combine the merits of both approaches, a two-stage fusion algorithm is designed. In the first stage, several transformation candidates are sampled from the score map of the CSM algorithm. Local scan matching approaches then start from these transformation candidates to obtain the final results. Four performance indicators are also designed to select the best transformation. Experiments on a real-world dataset prove the effectiveness of the proposed approach.

Application of multi-resolution data fusion algorithm

2010 ◽  
Vol 30 (9) ◽  
pp. 2556-2558 ◽  
Author(s):  
Ming-bo SHI ◽  
Ji-hong CHEN ◽  
Zheng-zheng JIANG
Keyword(s):  
Data Fusion ◽  
Fusion Algorithm ◽  
Resolution Data

Metal Stamping Character Image Fusion Algorithm Based on Multi-directional Illumination

2018 ◽  
Vol 30 (9) ◽  
pp. 1637
Author(s):  
Zhong Xiang ◽  
Jianfeng Zhang ◽  
Miao Qian ◽  
Zhenyu Wu ◽  
Xudong Hu
Keyword(s):  
Image Fusion ◽  
Fusion Algorithm ◽  
Metal Stamping
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