Static map generation from 3D LiDAR point clouds exploiting ground segmentation von Arora, Mehul, Wiesmann, Louis, Chen, Xieyuanli, Stachniss, Cyrill

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Moving Object Segmentation in 3D LiDAR Data: A Learning-Based Approach Exploiting Sequential Data von Chen, Xieyuanli, Li, Shijie, Mersch, Benedikt, Wiesmann, Louis, Gall, Jurgen, Behley, Jens, Stachniss, Cyrill

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Deep Compression for Dense Point Cloud Maps von Wiesmann, Louis, Milioto, Andres, Chen, Xieyuanli, Stachniss, Cyrill, Behley, Jens

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KISS-ICP: In Defense of Point-to-Point ICP - Simple, Accurate, and Robust Registration If Done the Right Way von Vizzo, Ignacio, Guadagnino, Tiziano, Mersch, Benedikt, Wiesmann, Louis, Behley, Jens, Stachniss, Cyrill

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PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency von Pan, Yue, Zhong, Xingguang, Wiesmann, Louis, Posewsky, Thorbjorn, Behley, Jens, Stachniss, Cyrill

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Mask-Based Panoptic LiDAR Segmentation for Autonomous Driving von Marcuzzi, Rodrigo, Nunes, Lucas, Wiesmann, Louis, Behley, Jens, Stachniss, Cyrill

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KPPR: Exploiting Momentum Contrast for Point Cloud-Based Place Recognition von Wiesmann, Louis, Nunes, Lucas, Behley, Jens, Stachniss, Cyrill

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Joint Intrinsic and Extrinsic Calibration of Perception Systems Utilizing a Calibration Environment von Wiesmann, Louis, Labe, Thomas, Nunes, Lucas, Behley, Jens, Stachniss, Cyrill

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LocNDF: Neural Distance Field Mapping for Robot Localization von Wiesmann, Louis, Guadagnino, Tiziano, Vizzo, Ignacio, Zimmerman, Nicky, Pan, Yue, Kuang, Haofei, Behley, Jens, Stachniss, Cyrill

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Make it Dense: Self-Supervised Geometric Scan Completion of Sparse 3D LiDAR Scans in Large Outdoor Environments von Vizzo, Ignacio Vizzo, Mersch, Benedikt, Marcuzzi, Rodrigo, Wiesmann, Louis, Behley, Jens, Stachniss, Cyrill

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High Precision Leaf Instance Segmentation for Phenotyping in Point Clouds Obtained Under Real Field Conditions von Marks, Elias, Sodano, Matteo, Magistri, Federico, Wiesmann, Louis, Desai, Dhagash, Marcuzzi, Rodrigo, Behley, Jens, Stachniss, Cyrill

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Mask4D: End-to-End Mask-Based 4D Panoptic Segmentation for LiDAR Sequences von Marcuzzi, Rodrigo, Nunes, Lucas, Wiesmann, Louis, Marks, Elias, Behley, Jens, Stachniss, Cyrill

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Contrastive Instance Association for 4D Panoptic Segmentation Using Sequences of 3D LiDAR Scans von Marcuzzi, Rodrigo, Nunes, Lucas, Wiesmann, Louis, Vizzo, Ignacio, Behley, Jens, Stachniss, Cyrill

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SPR: Single-Scan Radar Place Recognition von Herraez, Daniel Casado, Chang, Le, Zeller, Matthias, Wiesmann, Louis, Behley, Jens, Heidingsfeld, Michael, Stachniss, Cyrill

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DCPCR: Deep Compressed Point Cloud Registration in Large-Scale Outdoor Environments von Wiesmann, Louis, Guadagnino, Tiziano, Vizzo, Ignacio, Grisetti, Giorgio, Behley, Jens, Stachniss, Cyrill

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PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency von Pan, Yue, Zhong, Xingguang, Wiesmann, Louis, Posewsky, Thorbjörn, Behley, Jens, Stachniss, Cyrill

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LIO-EKF: High Frequency LiDAR-Inertial Odometry using Extended Kalman Filters von Wu, Yibin, Guadagnino, Tiziano, Wiesmann, Louis, Klingbeil, Lasse, Stachniss, Cyrill, Kuhlmann, Heiner

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KISS-ICP: In Defense of Point-to-Point ICP -- Simple, Accurate, and Robust Registration If Done the Right Way von Vizzo, Ignacio, Guadagnino, Tiziano, Mersch, Benedikt, Wiesmann, Louis, Behley, Jens, Stachniss, Cyrill

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Robust Onboard Localization in Changing Environments Exploiting Text Spotting von Zimmerman, Nicky, Wiesmann, Louis, Guadagnino, Tiziano, Läbe, Thomas, Behley, Jens, Stachniss, Cyrill

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Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data von Chen, Xieyuanli, Li, Shijie, Mersch, Benedikt, Wiesmann, Louis, Gall, Jürgen, Behley, Jens, Stachniss, Cyrill

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