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Structure-Invariant Range-Visual-Inertial Odometry

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arxiv 2409.04633 v1 pith:I6WWDMZO submitted 2024-09-06 cs.RO cs.CV

classification cs.ROcs.CV
keywords terrainmarsmissionsystemlandingapproachnovelodometry
verification ladder T0 review T1 audit T2 compute T3 formal
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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.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation

    cs.RO 2024-11 conditional novelty 7.0 of 10

    InCrowd-VI provides a realistic visual-inertial benchmark with 58 head-worn sequences in crowded indoor spaces, where state-of-the-art SLAM systems frequently fail to meet accuracy and real-time requirements.

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