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SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection.

Y. Xie, C. Xu, M. Rakotosaona, P. Rim, F. Tombari, K. Keutzer, M. Tomizuka, and W. Zhan. ICCV, page 17545-17556. IEEE, (2023)

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Corrections to Ä minimum parameter adaptive approach for rejecting multiple narrow-band disturbances with application to hard disk drives".X. Chen, and M. Tomizuka. IEEE Trans. Contr. Sys. Techn., 21 (5): 1996 (2013)Dealing with periodic disturbances in controls of mechanical systems.M. Tomizuka. PSYCO, page 187-195. International Federation of Automatic Control, (2007)SERoCS: Safe and Efficient Robot Collaborative Systems for Next Generation Intelligent Industrial Co-Robots.C. Liu, T. Tang, H. Lin, Y. Cheng, and M. Tomizuka. CoRR, (2018)Disturbance-Observer-Based Tracking Controller for Neural Network Driving Policy Transfer.C. Tang, Z. Xu, and M. Tomizuka. IEEE Trans. Intell. Transp. Syst., 21 (9): 3961-3972 (2020)Alternating Direction Method of Multipliers for Constrained Iterative LQR in Autonomous Driving.J. Ma, Z. Cheng, X. Zhang, M. Tomizuka, and T. Lee. CoRR, (2020)RT-WiFi: real-time high speed communication protocol for wireless control systems.Y. Wei, Q. Leng, S. Han, A. Mok, W. Zhang, M. Tomizuka, T. Li, D. Malone, and D. Leith. SIGBED Rev., 10 (2): 28 (2013)Socially-Compatible Behavior Design of Autonomous Vehicles with Verification on Real Human Data.L. Wang, L. Sun, M. Tomizuka, and W. Zhan. CoRR, (2020)SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation.C. Xu, B. Wu, Z. Wang, W. Zhan, P. Vajda, K. Keutzer, and M. Tomizuka. ECCV (28), volume 12373 of Lecture Notes in Computer Science, page 1-19. Springer, (2020)IDE-Net: Interactive Driving Event and Pattern Extraction from Human Data.X. Jia, L. Sun, M. Tomizuka, and W. Zhan. CoRR, (2020)Motion control of series-elastic actuators.K. Haninger, J. Lu, and M. Tomizuka. ACC, page 4373-4378. IEEE, (2016)

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Disambiguation of "Tomizuka, Masayoshi"

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SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection.

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SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection.