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オープンワールドセンシングのための補完的な経路を持つビジョンチップ
Zheyu Yang1,2, Taoyi Wang1, Yihan Lin1
1Center for Brain-Inspired Computing Research (CBICR), Optical Memory National Engineering Research Center and Department of Precision Instrument, Tsinghua University, Beijing, China.
Nature
|May 29, 2024
まとめ
研究者は人間の視覚系に 触発された新しい視覚チップを開発しました この補完的なセンシングパラダイムは,複雑なオープンワールドアプリケーションで堅牢な知覚のための高速で高ダイナミックレンジの画像センシングを可能にします.
科学分野:
- コンピュータ・ビジョン
- センサー技術
- バイオミメティック・システム
背景:
- イメージセンサは 動的で予測不可能な オープンワールドのシーンに苦労します 電力と帯域幅の制限のためです
- 既存のセンサーは 速度,解像度,ダイナミックレンジ,精度とのトレードオフに直面しています
研究 の 目的:
- 人間の視覚系にインスパイアされた 新しい補完的なセンシング パラダイムを導入する
- 様々なオープンワールドのアプリケーションのためのビジョンシステムの開発における根本的な制限を克服する.
主な方法:
- ハイブリッドピクセル配列と並列と異質の読み取りアーキテクチャを持つビジョンチップTianmoucを開発しました.
- 認知指向と行動指向の経路を作成するために 原始的な表現を実装しました.
- Tianmoucチップを自動運転システムに組み込みました
主要な成果:
- 高速感知が1万フレーム/秒で ダイナミックレンジは130dB
- 90%の適応帯域幅の減少が示されています.
- 自動運転のシナリオに 精度が高く 速さも高く 感知力を発揮します
結論:
- プリミティブベースの補完的なセンシングパラダイムは,現在の画像センサー技術の限界を効果的に解決します.
- Tianmoucチップは,オープンワールドアプリケーションの空間解像度,速度,ダイナミックレンジで優れた性能を提供します.
- このアプローチは 複雑な環境における 自動運転システムの知覚能力を高めます
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