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TransFuseGrid: Transformer-based Lidar-RGB fusion for semantic grid prediction.

, , , , , , и . ICARCV, стр. 268-273. IEEE, (2022)

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Semantic Grid Estimation with Occupancy Grids and Semantic Segmentation Networks., , и . ICARCV, стр. 1051-1056. IEEE, (2018)GridTrack: Detection and Tracking of Multiple Objects in Dynamic Occupancy Grids., , , и . ICVS, том 12899 из Lecture Notes in Computer Science, стр. 180-194. Springer, (2021)Integrating Cue Descriptors in Bubble Space for Place Recognition., и . ICVS, том 7963 из Lecture Notes in Computer Science, стр. 314-323. Springer, (2013)A multi-view hand gesture RGB-D dataset for human-robot interaction scenarios., , и . RO-MAN, стр. 1084-1091. IEEE, (2016)Bubble space and place representation in topological maps., и . Int. J. Robotics Res., 32 (6): 672-689 (2013)Recognize Moving Objects Around an Autonomous Vehicle Considering a Deep-learning Detector Model and Dynamic Bayesian Occupancy., , и . ICARCV, стр. 414-420. IEEE, (2020)Instance Segmentation with Unsupervised Adaptation to Different Domains for Autonomous Vehicles., , и . ICARCV, стр. 421-427. IEEE, (2020)LAPTNet: LiDAR-Aided Perspective Transform Network., , , , и . ICARCV, стр. 281-286. IEEE, (2022)Long-term topological place learning., и . ICRA, стр. 5462-5467. IEEE, (2015)Proactive, incremental learning of gesture-action associations for human-robot collaboration., , и . RO-MAN, стр. 346-353. IEEE, (2017)