WildCross Dataset

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Authors: Joshua Knights, Joseph Reid, Kaushik Roy, David Hall, Mark Cox, Peyman Moghadam
Cited by: 0

Abstract

WildCross is a cross-modal benchmark for place recognition and metric depth estimation in large-scale natural environments. WildCross comprises over 476K sequential RGB frames and 63K lidar submaps, each with accurate 6DoF ground truth poses, together with semi-dense depth and surface normal annotations for every image.

Fields of Study & Subjects

Robotics and Sensor-Based Localization 3D Surveying and Cultural Heritage Advanced Vision and Imaging

Publication details

Journal / source
CSIRO
Publication date
1 January 2026
Language
EN
Document type
Dataset