An Improved Calibration Method for Photonic Mixer Device Solid-State Array Lidars Based on Electrical Analog Delay

Autor: Zhang Wuyang, Xuanquan Wang, Ping Song
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Computer science
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
02 engineering and technology
Simultaneous localization and mapping
lcsh:Chemical technology
01 natural sciences
Biochemistry
Grayscale
Article
Analytical Chemistry
Compensation (engineering)
0202 electrical engineering
electronic engineering
information engineering
Calibration
Electronic engineering
lcsh:TP1-1185
Electrical and Electronic Engineering
Instrumentation
PMD solid-state array Lidar
Distortion (optics)
010401 analytical chemistry
Ranging
Frame rate
Atomic and Molecular Physics
and Optics
0104 chemical sciences
Lidar
self-adaptive grayscale correlation
photonic mixer device
joint calibration algorithm
depth calibration method
020201 artificial intelligence & image processing
electrical analog delay
Interpolation
Zdroj: Sensors, Vol 20, Iss 7329, p 7329 (2020)
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 24
ISSN: 1424-8220
Popis: As a typical application of indirect-time-of-flight (ToF) technology, photonic mixer device (PMD) solid-state array Lidar has gained rapid development in recent years. With the advantages of high resolution, frame rate and accuracy, the equipment is widely used in target recognition, simultaneous localization and mapping (SLAM), industrial inspection, etc. The PMD Lidar is vulnerable to several factors such as ambient light, temperature and the target feature. To eliminate the impact of such factors, a proper calibration is needed. However, the conventional calibration methods need to change several distances in large areas, which result in low efficiency and low accuracy. To address the problems, this paper presents an improved calibration method based on electrical analog delay. The method firstly eliminates the lens distortion using a self-adaptive interpolation algorithm, meanwhile it calibrates the grayscale image using an integral time simulating based method. Then, the grayscale image is used to estimate the parameters of ambient light compensation in depth calibration. Finally, by combining four types of compensation, the method effectively improves the performance of depth calibration. Through several experiments, the proposed method is more adaptive to multiscenes with targets of different reflectivities, which significantly improves the ranging accuracy and adaptability of PMD Lidar.
Databáze: OpenAIRE
Externí odkaz: