Multi-sensor fusion accurate positioning and autonomous navigation method

The invention discloses a multi-sensor fusion accurate positioning and autonomous navigation method. The method comprises the following steps: S1, acquiring point cloud data through multiple sensors; s2, carrying out fusion processing on multiple sensors and obtaining global map information; s3, fur...

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Hauptverfasser: SHENG ZHIHUA, ZHANG GEFEN, FENG LIN, LEI NING, LU SHIQIAO, LIU YANG, ZHAO HUANGYONG, WEI FAN, NA JUN, CHEN WEILONG, FAN CHUNFENG, ZHAO FENG, HE ZUWEN, YANG XIAOXING, MO JIANMING, HUANG LIUSHENG, LI GUIXIN, TAN ZHENGWEI, HUANG HAIMEI, WEI SHUANGSHUANG, WEI JINGLUN, CHEN YUE, LIN XIAOYUN, CHEN SHIWEN, TAN KAI, WEI XUESHAN, CHEN ZHICONG, ZHU ZHIYONG, FU MAOXUE, HUANG YONG, ZHOU JUNYU, ZHOU XUEYING
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention discloses a multi-sensor fusion accurate positioning and autonomous navigation method. The method comprises the following steps: S1, acquiring point cloud data through multiple sensors; s2, carrying out fusion processing on multiple sensors and obtaining global map information; s3, further positioning the autonomous navigation system based on the constructed three-dimensional point cloud map; and S4, carrying out local path planning. A high-precision environment map can be constructed in a complex environment of a transformer substation in a mode of fusing a wheel type odometer and an IMU (Inertial Measurement Unit) to improve a Cartographic map construction algorithm. Besides, the effect of local path planning is improved, the current obstacle total density value is compared with a critical condition in different window modes, if the condition is met, a window search path with a small range is adopted in an environment with dense obstacles, and a window search path with a large range is adopted