SOURCE-LINKED INTELLIGENCE
FFVO: A Feedforward Pose Decoder for Long-Horizon Visual Odometry
Stable and reliable 4D spatial understanding is fundamental for autonomous driving systems. While feedforward reconstruction networks can estimate camera motion and 3D structure in one pass, pose estimation over long videos remains challenged by computational cost, long-context ambiguity, and temporal instability. To address these challenges, we propose Feedforward Visual Odometry (FFVO), a pose-specialized adaptation of joint reconstruction architectures for efficient and temporally stable camera-pose estimation. FFVO uses (i) a compact camera-token representation for computationally efficien
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-12T05:56:52.000Z
First collected: 2026-09-20T16:41:15.630Z. This is not the publication date.