Published in IEEE Robotics and Automation Letters, 2023
Recommended citation: J. Liu, M. Fu, A. Liu, W. Zhang and B. Chen, “A Homotopy Invariant Based on Convex Dissection Topology and a Distance Optimal Path Planning Algorithm,” in IEEE Robotics and Automation Letters, vol. 8, no. 11, pp. 7695-7702, Nov. 2023, doi: 10.1109/LRA.2023.3322349.
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Published in IEEE Transactions on Intelligent Transportation Systems, 2023
Recommended citation: Jin Y, Zhang W A, Sun H, et al. Learning-Aided Inertial Odometry With Nonlinear State Estimator on Manifold[J]. IEEE Transactions on Intelligent Transportation Systems, 2023.
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Published in International Conference on Intelligent Robots and Systems, 2023
Recommended citation: J. Liu, M. Fu, W. Zhang, B. Chen, R. Prakapovich and U. Sychou, “CDT-Dijkstra: Fast Planning of Globally Optimal Paths for All Points in 2D Continuous Space,” 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Detroit, MI, USA, 2023, pp. 2224-2231, doi: 10.1109/IROS55552.2023.10341744.
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Published in 2022 5th International Symposium on Autonomous Systems (ISAS), 2022
Recommended citation: H. Sun, Y. Jin, M. Fu, J. He, H. Liu and W. -A. Zhang, “A Multisensor-based Tightly Coupled Integrated Navigation System,” 2022 5th International Symposium on Autonomous Systems (ISAS), Hangzhou, China, 2022, pp. 1-6, doi: 10.1109/ISAS55863.2022.9757320.
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Published in 2021 5th CAA International Conference on Vehicular Control and Intelligence , 2021
Recommended citation: Y. Jin, B. Liu, M. Fu, H. Lyu and W. -A. Zhang, “Data-driven Motion Planner for Autonomous Vehicle using an Ensemble of Global Map and Local view,” 2021 5th CAA International Conference on Vehicular Control and Intelligence (CVCI), Tianjin, China, 2021, pp. 1-6, doi: 10.1109/CVCI54083.2021.9661164.
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Published in IEEE Sensors Journal , 2021
Recommended citation: M. Fu, X. Lu, Y. Jin, W. -A. Zhang, R. Prakapovich and U. Sychou, “Semantic Map-based Visual Localization with Consistency Guarantee,” in IEEE Sensors Journal, doi: 10.1109/JSEN.2023.3335964.
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Published in IEEE Transactions on Instrumentation and Measurement, 2021
Recommended citation: Y. Jin, N. Wei, M. Fu, H. Liu and W. -A. Zhang, “Beyond Learning: Back to Geometric Essence of Visual Odometry via Fusion-Based Paradigm,” in IEEE Transactions on Instrumentation and Measurement, vol. 70, pp. 1-15, 2021, Art no. 5018715, doi: 10.1109/TIM.2021.3121483.
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