Multi-classifier based LIDAR and camera fusion

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

24 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 languageEnglish
Title of host publication10th International IEEE Conference on Intelligent Transportation Systems, ITSC 2007
Pages467-472
Number of pages6
DOIs
Publication statusPublished - 2007 Dec 1
Event10th International IEEE Conference on Intelligent Transportation Systems, ITSC 2007 - Seattle, WA, United States
Duration: 2007 Sep 302007 Oct 3

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Other

Other10th International IEEE Conference on Intelligent Transportation Systems, ITSC 2007
CountryUnited States
CitySeattle, WA
Period07/9/3007/10/3

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

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  • Cite this

    Hwang, J. P., Cho, S. E., Ryu, K. J., Park, S., & Kim, E. (2007). Multi-classifier based LIDAR and camera fusion. In 10th International IEEE Conference on Intelligent Transportation Systems, ITSC 2007 (pp. 467-472). [4357683] (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC). https://doi.org/10.1109/ITSC.2007.4357683