SOURCE-LINKED INTELLIGENCE
MFVINS: Multiple Fisheye Camera-Based Visual Inertial System
A simultaneous localization and mapping (SLAM) method using a monocular camera and a low-cost inertial measurement unit (IMU) sensor is an effective way to fulfill a low-cost sensor configuration. Using this sensor configuration, visual-inertial system (VINS) focuses on fusing data from a camera and an IMU sensor to estimate the six degrees-of-freedom (DOF) of the sensor pose. Typically, VINS uses only a single camera as visual input, which lead to problems such as error accumulation due to occlusion, various illumination, and textureless environments. In this paper, we propose a new multiple
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-08T12:00:00.000Z
First collected: 2026-09-20T20:02:11.508Z. This is not the publication date.