先進予防安全システムのための環境認識

摘要

交通事故低減を目的とした先進予防安全システムADASのための環境認識技術について述べた. 画像から抽出される高次元特徴量を用いた歩行者認識と行動予測技術,高密度レーザレーダを用いた走行環境全般の認識技術，さらには画像とレーザレーダの統合による高精度な歩行者認識技術に関して，筆者らが提案する手法を報告し，実験結果と併せてそれらの有効性を示した.%With increasing automobiles especially in developing countries, there are growing fears of increasing traffic accidents. In order to reduce traffic accidents, various advanced driver assistance systems (ADAS) have been becoming popular in recent years. However, more intelligent functions for road environment recognition are required as future ASAS. In this paper, our research achievements for recognizing the road environment utilizing camera and LIDAR are introduced. Some experimental results show that our developed algorithms are competent as key roles of future ASAS.