準天頂衛星CLASとマルチGNSS移動体RTKを組み合わせた連接ダンプトラックの状態推定
Automatic Operation of an Articulated Dump Truck: State Estimation by Combined QZSS CLAS and Moving-Base RTK Using Multiple GNSS Receivers
GNSS基準局が不要な準天頂衛星CLAS測位と複数アンテナ間の移動体RTKをファクターグラフ最適化で統合し、ダンプトラックの位置・姿勢・関節角を推定する手法を開発した。
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著者: Taro Suzuki, Shotaro Kojima, Kazunori Ohno, Naoto Miyamoto, Takahiro Suzuki, Kimitaka Asano, Tomohiro Komatsu, Hiroto Kakizaki
分類: cs.RO
原文アブストラクト
Labor shortage due to the declining birth rate has become a serious problem in the construction industry, and automation of construction work is attracting attention as a solution to this problem. This paper proposes a method to realize state estimation of dump truck position, orientation and articulation angle using multiple GNSS for automatic operation of dump trucks. RTK-GNSS is commonly used for automation of construction equipment, but in mountainous areas, mobile networks often unstable, and RTK-GNSS using GNSS reference stations cannot be used. Therefore, this paper develops a state estimation method for dump trucks that does not require a GNSS reference station by using the Centimeter Level Augmentation Service (CLAS) of the Japanese Quasi-Zenith Satellite System (QZSS). Although CLAS is capable of centimeter-level position estimation, its positioning accuracy and ambiguity fix rate are lower than those of RTK-GNSS. To solve this problem, we construct a state estimation method by factor graph optimization that combines CLAS positioning and moving-base RTK-GNSS between multiple GNSS antennas. Evaluation tests under real-world environments have shown that the proposed method can estimate the state of dump trucks with the same accuracy as conventional RTK-GNSS, but does not require a GNSS reference station.
