cs.ROOct 18, 2026

Visual-Inertial Odometry for Ground Robots with Dynamic Camera-IMU Extrinsic Calibration

Authors: Bo Dong

Organizations: Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China

Abstract

Visual-inertial odometry systems are often constrained by the assumption that sensors are rigidly mounted, which limits their adaptability in practical scenarios involving structural motion. To address this limitation, this paper investigates time-varying camera-IMU extrinsic calibration. First, a dynamic camera-IMU extrinsic calibration method based on the Denavit-Hartenberg convention is proposed by incorporating the robot kinematic model. Second, a two-step initialization strategy is developed to efficiently estimate the initial joint angles, providing a reliable starting point for subsequent extrinsic parameter optimization and enabling online estimation of timevarying camera-IMU extrinsic parameters. Simulation experiments demonstrate that the proposed framework can effectively accommodate variations in camera-IMU extrinsic parameters while maintaining competitive localization accuracy.

Explore similar work

CardsList
  1. Radar-Inertial Odometry with Online Spatio-Temporal Calibration via Continuous-Time IMU Modeling

    Mar 20, 2026Vlaho-Josip Štironja, Luka Petrović, Juraj Peršić +2Radar-Inertial OdometryRobot State Estimation

  2. Calibration-free IMU-based Relative Orientation Estimation under Dynamic Human Motion

    Oct 22, 2026Ruiyuan Li, Hassan Osman, Ajay Seth +1Relative Pose EstimationExtended Kalman Filtering

  3. Ground Plane-Aided Extrinsic Calibration of Inertial and RGB-D Sensors for Uncrewed Aerial Vehicles

    Jun 30, 2026Ilyar Asl Sabbaghian Hokmabadi, Mahdis BishebanAerial Robotics