VINS-Multi: A Robust Asynchronous Multi-camera-IMU State Estimator
CoRR(2024)
Abstract
State estimation is a critical foundational module in robotics applications,
where robustness and performance are paramount. Although in recent years, many
works have been focusing on improving one of the most widely adopted state
estimation methods, visual inertial odometry (VIO), by incorporating multiple
cameras, these efforts predominantly address synchronous camera systems.
Asynchronous cameras, which offer simpler hardware configurations and enhanced
resilience, have been largely overlooked. To fill this gap, this paper presents
VINS-Multi, a novel multi-camera-IMU state estimator for asynchronous cameras.
The estimator comprises parallel front ends, a front end coordinator, and a
back end optimization module capable of handling asynchronous input frames. It
utilizes the frames effectively through a dynamic feature number allocation and
a frame priority coordination strategy. The proposed estimator is integrated
into a customized quadrotor platform and tested in multiple realistic and
challenging scenarios to validate its practicality. Additionally, comprehensive
benchmark results are provided to showcase the robustness and superior
performance of the proposed estimator.
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