English

Structure-Invariant Range-Visual-Inertial Odometry

Robotics 2024-09-10 v1 Computer Vision and Pattern Recognition

Abstract

The Mars Science Helicopter (MSH) mission aims to deploy the next generation of unmanned helicopters on Mars, targeting landing sites in highly irregular terrain such as Valles Marineris, the largest canyons in the Solar system with elevation variances of up to 8000 meters. Unlike its predecessor, the Mars 2020 mission, which relied on a state estimation system assuming planar terrain, MSH requires a novel approach due to the complex topography of the landing site. This work introduces a novel range-visual-inertial odometry system tailored for the unique challenges of the MSH mission. Our system extends the state-of-the-art xVIO framework by fusing consistent range information with visual and inertial measurements, preventing metric scale drift in the absence of visual-inertial excitation (mono camera and constant velocity descent), and enabling landing on any terrain structure, without requiring any planar terrain assumption. Through extensive testing in image-based simulations using actual terrain structure and textures collected in Mars orbit, we demonstrate that our range-VIO approach estimates terrain-relative velocity meeting the stringent mission requirements, and outperforming existing methods.

Keywords

Cite

@article{arxiv.2409.04633,
  title  = {Structure-Invariant Range-Visual-Inertial Odometry},
  author = {Ivan Alberico and Jeff Delaune and Giovanni Cioffi and Davide Scaramuzza},
  journal= {arXiv preprint arXiv:2409.04633},
  year   = {2024}
}

Comments

IEEE/RSJ International Conference on Intelligent Robots (IROS), 2024

R2 v1 2026-06-28T18:37:03.152Z