The field of visual-inertial systems is witnessing significant advancements, driven by the need for efficient, accurate, and real-time capable methods. Researchers are focusing on optimizing pipelines for micro- and nano-UAVs, as well as developing calibration-free inertial tracking algorithms. The use of discrete-time state representation is also being explored to improve the efficiency of spatial-temporal calibration. Furthermore, novel methods for spatiotemporal calibration of laser vision sensors are being proposed to address issues such as temporal desynchronization and hand-eye extrinsic parameter variations. Noteworthy papers include:

• Efficient and Accurate Downfacing Visual Inertial Odometry, which presents an optimized VIO pipeline for ultra-low-power systems on chips.
• MinJointTracker, which contributes to real-time capable calibration-free inertial tracking of a kinematic chain.
• Unleashing the Power of Discrete-Time State Representation, which proposes a novel and efficient calibration method using discrete-time state representation.
• Spatiotemporal Calibration for Laser Vision Sensor in Hand-eye System Based on Straight-line Constraint, which introduces a teaching-free spatiotemporal calibration method utilizing line constraints.