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--- data:datasets:4seasons-dataset [2024/10/14 19:10]
Quirin Lohr
+++ data:datasets:4seasons-dataset [2025/02/06 13:47] (current)
Quirin Lohr Malware entfernt
@@ Line 8: / Line 8: @@
 We present a novel dataset covering seasonal and challenging perceptual conditions for autonomous driving. Among others, it enables research on visual odometry, global place recognition, and map-based re-localization tracking. The data was collected in different scenarios and under a wide variety of weather conditions and illuminations, including day and night. This resulted in more than 350 km of recordings in nine different environments ranging from multi-level parking garage over urban (including tunnels) to countryside and highway. We provide globally consistent reference poses with up-to centimeter accuracy obtained from the fusion of direct stereo visual-inertial odometry with RTK-GNSS.
-For additional information, please visit the official [[https://www.4seasons-dataset.com/|4Seasons-dataset webpage]].
 ==== Dataset Tools ====

Technical University of Munich