Slam/Vio 算法工程师
Tasks
- Accelerate computations using CUDA or OpenCL and SIMD
- Build stereo vision graph SLAM mapping and global alignment
- Design stereo camera IMU tightly coupled state estimation system
- Develop loop closure and relocalization algorithms
- Implement factor graph backend optimization for 6D pose tracking
- Model sensor effects and implement error compensation
- Optimize algorithms for embedded ARM DSP NPU platforms
- Perform accurate stereo camera IMU calibration and time synchronization
Perks/Benefits
- N/A
Skills/Tech-stack
ARM | C# | C++ | CUDA | Camera IMU | Camera IMU Calibration | DSP | Depth Estimation | Embedded Systems | Factor graph | Feature Matching | G2o | GTSAM | Graph slam | IMU | IMU calibration | Inertial Navigation | Linux | Loop Closure | NPU | OKVIS | ORB-SLAM3 | OpenCL | OpenVINS | Optical Flow | ROS | ROS2 | RTAB-MAP | Relocalization | Rolling shutter | SIMD Neon | Stereo matching | Stereo vision | Time Synchronization | VINS-Fusion | VIO
Education
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