Working years:
More than 3 years
education:
Master degree or above
Job responsibilities:
1. Engaged in algorithm research and development in visual positioning, laser point cloud positioning and fusion positioning
2. Study the high-precision self positioning solution of underground parking lot based on the integration of vision, high-precision map and IMU
3. Work with development engineers to complete the design, development and commissioning of product functions
4. Assist QA to complete algorithm evaluation scheme design and develop necessary tool sets and data sets
Job requirements:
1. Master degree or above in computer, mathematics or information, 3 ~ 5 years working experience
2. Be familiar with the theoretical basis of vehicle self positioning, and be proficient in at least one of GNSS integrated inertial navigation, laser point cloud positioning and visual slam
3. Be proficient in relevant technical principles and common algorithms
4. Be familiar with state estimation, nonlinear optimization theory and methods, and skillfully use Ceres, g2o and other third-party tools
5. Have strong engineering ability and skillfully use C / C++
6. Experience in high-precision visual positioning project under high-speed / parking lot scene combined with high-precision map is preferred
7. Excellent teamwork spirit and good pressure resistance