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Working from home
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Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Shark

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Shark

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JingruiYu/README.md

Jingrui Yu

I work on 3D vision and robotics data infrastructure at NVIDIA Isaac, with interests in scalable camera geometry, Structure-from-Motion, neural reconstruction, and spatial data pipelines for embodied AI systems.

Current focus

  • CUDA-accelerated Structure-from-Motion and camera-pose estimation
  • Robotics data infrastructure for reconstruction and simulation
  • Neural reconstruction and real-world-to-simulation pipelines
  • 3D vision, visual localization, and mapping systems

Selected work

Research background

My PhD research at Shanghai Jiao Tong University focused on autonomous-driving perception and localization, including fisheye cameras, visual SLAM, semantic localization, and simulation-based learning.

Links

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  1. nvidia-isaac/pyCuSFM nvidia-isaac/pyCuSFM Public

    Python wrapper for the NVIDIA cuSFM library

    Python 274 25

  2. fisheye-camera-calibration-suite fisheye-camera-calibration-suite Public

    C++/OpenCV toolkit for pinhole and fisheye camera calibration with chessboard observations.

    C++ 8

  3. dual-view-semantic-slam dual-view-semantic-slam Public

    Research prototype for semantic visual SLAM with front-view observations, BEV geometry, and pose-graph optimization.

    C++ 1

  4. carla-drl-autonomy carla-drl-autonomy Public

    CARLA-based deep reinforcement learning experiments for autonomous-driving policy research.

    Python

  5. feature-match-odometry feature-match-odometry Public

    ROS/C++ visual odometry prototype based on ORB matching, LK tracking, and Ceres optimization.

    C++

  6. semantic-vector-sequence-localization semantic-vector-sequence-localization Public

    Visual place recognition prototype using semantic vector descriptors and sequence-level localization.

    MATLAB