3D Road Boundary Detection Using Conformal Geometric Algebra

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概要

• 論文の詳細を見る

• This paper presents a novel method for detecting 3D road boundaries, such as walls, guardrails, and curbs, using on-board stereo cameras. The proposed method uses conformal geometric algebra, which can describe different shapes in a common representation. 3D road boundaries on straight and curved roads are seamlessly detected by use of this representation, and this framework is also applied to curb detection by a subtle modification. Experimental results show that despite its algorithmic simplicity, the proposed method exhibited competitive detection performance compared with conventional model fitting and curb detection methods.

• 一般社団法人 情報処理学会の論文

著者

• Naito Takashi

  Toyota Central R & D Labs

• Ishida Hiroyuki

  Toyota Central R&D Labs., Inc.

• Meguro Jun-ichi

  Toyota Central R&D Labs., Inc.

• Kojima Yoshiko

  Toyota Central R&D Labs., Inc.

• Meguro Jun-ichi

  Toyota Central R&D Labs., Inc.

• Ishida Hiroyuki

  Toyota Central R&D Labs., Inc.

• Kojima Yoshiko

  Toyota Central R&D Labs., Inc.

関連論文

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• Integrating Motion and Segmentation for Road Scene Labeling
• Integrating Motion and Segmentation for Road Scene Labeling
• Orientation learning for estimation of human pose direction from static image (パターン認識・メディア理解)
• Orientation learning for estimation of human pose direction from static image (ヒューマン情報処理)
• 3D Road Boundary Detection Using Conformal Geometric Algebra
• 3D Road Boundary Detection Using Conformal Geometric Algebra

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