Live Demonstration: A Reconfigurable, Energy-efficient and High-frame-rate EKF-SLAM Accelerator Based SoC Design for Autonomous Mobile Robot Applications
Dingcheng Jiang, Bingqiang Liu, Jipeng Wang, Ao Hu, Yequan Zhao, Minjie Bao, Zhendong Fan, Zixuan Shen, Ke Wang, Chao Wang · 2024
This demonstration shows a Extend Kalman Filter-Simultaneous Localization And Mapping (EKF-SLAM) accelerator based System On Chip (SoC) design for Autonomous Mobile Robots (AMR). The AMR platform consists of a multi-sensor system with a wheel encoder and LiDAR, and a ZYNQ-7000 FPGA based SoC featuring an EKF-SLAM hardware accelerator. This AMR system achieves real-time SLAM with significant energy efficient improvement against the state-of-the-art designs.