LIDAR simulation method for low-cost repetitive validation

Seongjo Lee; Dahyeon Kang; Seoungjae Cho; Sungdae Sim; Yong Woon Park; Kyhyun Um; Kyungeun Cho

doi:10.1007/978-981-10-0281-6_34

LIDAR simulation method for low-cost repetitive validation

Seongjo Lee, Dahyeon Kang, Seoungjae Cho, Sungdae Sim, Yong Woon Park, Kyhyun Um, Kyungeun Cho

Division of AI Software Convergence

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

4 Scopus citations

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.

Original language	English
Pages (from-to)	237-242
Number of pages	6
Journal	Lecture Notes in Electrical Engineering
Volume	373
DOIs	https://doi.org/10.1007/978-981-10-0281-6_34
State	Published - 2015

Keywords

LIDAR
Multiple sensors
Simulation
Unmanned vehicle
Virtual environment

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10.1007/978-981-10-0281-6_34

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title = "LIDAR simulation method for low-cost repetitive validation",

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.",

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AU - Kang, Dahyeon

AU - Cho, Seoungjae

AU - Sim, Sungdae

AU - Park, Yong Woon

AU - Um, Kyhyun

AU - Cho, Kyungeun

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AB - 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.

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KW - Multiple sensors

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KW - Virtual environment

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JO - Lecture Notes in Electrical Engineering

JF - Lecture Notes in Electrical Engineering

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LIDAR simulation method for low-cost repetitive validation

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Keywords

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