Shenghai Yuan

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研究焦点

主要成就

代表论文

1. 1
   NTU VIRAL: A visual-inertial-ranging-lidar dataset, from an aerial vehicle viewpoint

   175 次引用 · 2021
2. 2
   AbolDeepIO: A Novel Deep Inertial Odometry Network for Autonomous Vehicles

   113 次引用 · 2019
3. 3
   VIRAL-Fusion: A Visual-Inertial-Ranging-Lidar Sensor Fusion Approach

   102 次引用 · 2021
4. 4
   OriNet: Robust 3-D Orientation Estimation With a Single Particular IMU

   98 次引用 · 2019
5. 5
   Survey on Localization Systems and Algorithms for Unmanned Systems

   85 次引用 · 2020
6. 6
   TDPP-Net: Achieving three-dimensional path planning via a deep neural network architecture

   59 次引用 · 2019
7. 7
   Learn to Navigate Autonomously Through Deep Reinforcement Learning

   57 次引用 · 2021
8. 8
   HCTO: Optimality-aware LiDAR inertial odometry with hybrid continuous time optimization for compact wearable mapping system

   52 次引用 · 2024
9. 9
   BND*-DDQN: Learn to Steer Autonomously Through Deep Reinforcement Learning

   52 次引用 · 2019
10. 10
    MCD: Diverse Large-Scale Multi-Campus Dataset for Robot Perception

    48 次引用 · 2024

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