Article | 27-January-2020
and few feature points.
Aiming at the problems of the above-mentioned visual SLAM system, this paper proposes an algorithm that fuses IMU and SLAM. Through the fusion of IMU, it can provide a good initial pose for the system. At the same time, during the camera movement process, it makes up for the shortcomings of visual SLAM, ensuring the accuracy of the camera pose estimation in the case of fast camera movement and lack of environmental texture.
Camera coordinate system
International Journal of Advanced Network, Monitoring and Controls, Volume 4 , ISSUE 4, 47–55
research-article | 30-November-2020
accuracy of its magnetic sensor, which is believed to be the leading cause of error. There are three different causes of errors: the magnetic interference of the vehicle with itself or the environment (Ye et al., 2009), the compensation of the roll and pitch dependent on gravity, and finally, the orientation of the compass mounting within the vehicle.
Stutters indicated that the Inertial Navigation Device (INS) or Inertial Management Unit (IMU) utilizes accelerometers and gyroscopic sensors to detect
International Journal on Smart Sensing and Intelligent Systems, Volume 14 , ISSUE 1, 1–22