工作內容
[What You'll Be Doing]
- This position requires knowledge and experience in the state estimation of dynamic systems using various sensors (GPS, IMU, wheel speed/angle, etc.) in a 3D environment.
- The responsibilities include preprocessing and modeling sensors, identification of system dynamics, and fusion and estimation of states.
- The candidate is also responsible for develop, maintain, and improve the integrated estimation system while ensuring maximum availability and accuracy with minimum computational cost.
條件要求
[Minimum Qualifications]
- MS or Ph.D. in Computer Science, Electrical Engineering, or a related technical field.
- Familiar with at least one of the sensor fusion algorithms such as the Kalman filter, particle filter, or optimization
- Experience in implementation of state estimation algorithm
- Experience in handling of practical sensors such as IMU, camera, and odometry.
- Experience in C/C++ programming.
[Preferred Qualifications]
- Domain knowledge or experience in one or more of the following:
- 3D quaternion dynamics of object
- State estimation and filtering theory
- Computer vision
- Embedded systems
- Dynamic and stochastic systems
- Proficient at surveying papers and implementing mathematical equations with the ability to interpret equations and derive own variants
- Familiar with GIT & Make/CMake tools
- Experience on Radar/Lidar.
員工福利
法定項目
其他福利
薪資範圍