Multi-classifier based LIDAR and camera fusion

Jae Pil Hwang; Seung Eun Cho; Kyung Jin Ryu; Seungkeun Park; Euntai Kim

doi:10.1109/ITSC.2007.4357683

Multi-classifier based LIDAR and camera fusion

Jae Pil Hwang, Seung Eun Cho, Kyung Jin Ryu, Seungkeun Park, Euntai Kim

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

28 Citations (Scopus)

Abstract

We present a sensor fusion system using lidar and camera. We separate the system into two part which is hypothesis generation part and hypothesis verification part. These parts use different single sensors. Hypothesis generation is done using the lidar and hypothesis verification is done using the camera image. In hypothesis generation, we cluster the lidar data and do a perspective mapping to generate the candidate. In hypothesis verification, we used 5-SVMs classifier. Based on the candidate position, the candidate is putted in different SVM. In the result, we compared the result between 5-SVM hypothesis verification and single SVM hypothesis verification. The result showed 2.2% improvement.

Original language	English
Title of host publication	10th International IEEE Conference on Intelligent Transportation Systems, ITSC 2007
Pages	467-472
Number of pages	6
DOIs	https://doi.org/10.1109/ITSC.2007.4357683
Publication status	Published - 2007
Event	10th International IEEE Conference on Intelligent Transportation Systems, ITSC 2007 - Seattle, WA, United States Duration: 2007 Sept 30 → 2007 Oct 3

Publication series

Name	IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Other

Other	10th International IEEE Conference on Intelligent Transportation Systems, ITSC 2007
Country/Territory	United States
City	Seattle, WA
Period	07/9/30 → 07/10/3

All Science Journal Classification (ASJC) codes

Automotive Engineering
Mechanical Engineering
Computer Science Applications

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10.1109/ITSC.2007.4357683

Cite this

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title = "Multi-classifier based LIDAR and camera fusion",

abstract = "We present a sensor fusion system using lidar and camera. We separate the system into two part which is hypothesis generation part and hypothesis verification part. These parts use different single sensors. Hypothesis generation is done using the lidar and hypothesis verification is done using the camera image. In hypothesis generation, we cluster the lidar data and do a perspective mapping to generate the candidate. In hypothesis verification, we used 5-SVMs classifier. Based on the candidate position, the candidate is putted in different SVM. In the result, we compared the result between 5-SVM hypothesis verification and single SVM hypothesis verification. The result showed 2.2% improvement.",

author = "Hwang, {Jae Pil} and Cho, {Seung Eun} and Ryu, {Kyung Jin} and Seungkeun Park and Euntai Kim",

year = "2007",

doi = "10.1109/ITSC.2007.4357683",

language = "English",

isbn = "1424413966",

series = "IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC",

pages = "467--472",

booktitle = "10th International IEEE Conference on Intelligent Transportation Systems, ITSC 2007",

note = "10th International IEEE Conference on Intelligent Transportation Systems, ITSC 2007 ; Conference date: 30-09-2007 Through 03-10-2007",

}

Hwang, JP, Cho, SE, Ryu, KJ, Park, S & Kim, E 2007, Multi-classifier based LIDAR and camera fusion. in 10th International IEEE Conference on Intelligent Transportation Systems, ITSC 2007., 4357683, IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, pp. 467-472, 10th International IEEE Conference on Intelligent Transportation Systems, ITSC 2007, Seattle, WA, United States, 07/9/30. https://doi.org/10.1109/ITSC.2007.4357683

Multi-classifier based LIDAR and camera fusion. / Hwang, Jae Pil; Cho, Seung Eun; Ryu, Kyung Jin et al.

10th International IEEE Conference on Intelligent Transportation Systems, ITSC 2007. 2007. p. 467-472 4357683 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Multi-classifier based LIDAR and camera fusion

AU - Hwang, Jae Pil

AU - Cho, Seung Eun

AU - Ryu, Kyung Jin

AU - Park, Seungkeun

AU - Kim, Euntai

PY - 2007

Y1 - 2007

N2 - We present a sensor fusion system using lidar and camera. We separate the system into two part which is hypothesis generation part and hypothesis verification part. These parts use different single sensors. Hypothesis generation is done using the lidar and hypothesis verification is done using the camera image. In hypothesis generation, we cluster the lidar data and do a perspective mapping to generate the candidate. In hypothesis verification, we used 5-SVMs classifier. Based on the candidate position, the candidate is putted in different SVM. In the result, we compared the result between 5-SVM hypothesis verification and single SVM hypothesis verification. The result showed 2.2% improvement.

AB - We present a sensor fusion system using lidar and camera. We separate the system into two part which is hypothesis generation part and hypothesis verification part. These parts use different single sensors. Hypothesis generation is done using the lidar and hypothesis verification is done using the camera image. In hypothesis generation, we cluster the lidar data and do a perspective mapping to generate the candidate. In hypothesis verification, we used 5-SVMs classifier. Based on the candidate position, the candidate is putted in different SVM. In the result, we compared the result between 5-SVM hypothesis verification and single SVM hypothesis verification. The result showed 2.2% improvement.

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BT - 10th International IEEE Conference on Intelligent Transportation Systems, ITSC 2007

T2 - 10th International IEEE Conference on Intelligent Transportation Systems, ITSC 2007

Y2 - 30 September 2007 through 3 October 2007

ER -

Multi-classifier based LIDAR and camera fusion

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