A line structured light visual sensor for road obstacle detection

Haiyan Shao; Zhenhai Zhang; Kejie Li; Jian Wang; Tao Xu; Shuai Hou; Liang Zhang

doi:10.1007/978-3-319-13707-0_91

A line structured light visual sensor for road obstacle detection

Haiyan Shao, Zhenhai Zhang^*, Kejie Li, Jian Wang, Tao Xu, Shuai Hou, Liang Zhang

^*Corresponding author for this work

School of Mechatronical Engineering

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

A new line structured light visual sensor is proposed. The line structured light for remote measurement is generated by high power semiconductor laser point source with miniature piezo fast steering mirror. The mathematical model of the line structured light sensor and calibration method is described. By analyzing the line profiles of structured light under different obstacles of road, the mathematical model of line structured light is obtained. Finally, the possibility of using the line structured light visual sensor to detect road obstacle is proposed.

Original language	English
Pages (from-to)	833-839
Number of pages	7
Journal	Lecture Notes in Electrical Engineering
Volume	334
DOIs	https://doi.org/10.1007/978-3-319-13707-0_91
Publication status	Published - 2015

Keywords

Line profile of structured light
Line structured light visual sensor
Obstacle detection
Piezo steering mirror

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10.1007/978-3-319-13707-0_91

Cite this

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title = "A line structured light visual sensor for road obstacle detection",

abstract = "A new line structured light visual sensor is proposed. The line structured light for remote measurement is generated by high power semiconductor laser point source with miniature piezo fast steering mirror. The mathematical model of the line structured light sensor and calibration method is described. By analyzing the line profiles of structured light under different obstacles of road, the mathematical model of line structured light is obtained. Finally, the possibility of using the line structured light visual sensor to detect road obstacle is proposed.",

keywords = "Line profile of structured light, Line structured light visual sensor, Obstacle detection, Piezo steering mirror",

author = "Haiyan Shao and Zhenhai Zhang and Kejie Li and Jian Wang and Tao Xu and Shuai Hou and Liang Zhang",

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AU - Shao, Haiyan

AU - Zhang, Zhenhai

AU - Li, Kejie

AU - Wang, Jian

AU - Xu, Tao

AU - Hou, Shuai

AU - Zhang, Liang

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2015.

PY - 2015

Y1 - 2015

N2 - A new line structured light visual sensor is proposed. The line structured light for remote measurement is generated by high power semiconductor laser point source with miniature piezo fast steering mirror. The mathematical model of the line structured light sensor and calibration method is described. By analyzing the line profiles of structured light under different obstacles of road, the mathematical model of line structured light is obtained. Finally, the possibility of using the line structured light visual sensor to detect road obstacle is proposed.

AB - A new line structured light visual sensor is proposed. The line structured light for remote measurement is generated by high power semiconductor laser point source with miniature piezo fast steering mirror. The mathematical model of the line structured light sensor and calibration method is described. By analyzing the line profiles of structured light under different obstacles of road, the mathematical model of line structured light is obtained. Finally, the possibility of using the line structured light visual sensor to detect road obstacle is proposed.

KW - Line profile of structured light

KW - Line structured light visual sensor

KW - Obstacle detection

KW - Piezo steering mirror

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U2 - 10.1007/978-3-319-13707-0_91

DO - 10.1007/978-3-319-13707-0_91

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VL - 334

SP - 833

EP - 839

JO - Lecture Notes in Electrical Engineering

JF - Lecture Notes in Electrical Engineering

ER -

A line structured light visual sensor for road obstacle detection

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Keywords

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