工作职责:
1. Responsible for the design, development and software delivery of sensor fusion algorithms for object detection, tracking, and environment modeling using Kalman filters, particle filters, or machine learning approaches for parking functions.
2. Optimize algorithms for computational efficiency, robustness, and safety underdiverse parking conditions (indoor/outdoor, tight spaces, dynamic obstacles).
3. Integrate data from cameras, and ultrasonic sensors to improve parking functionalities.
4. Validate algorithms through simulation and HlL testing.
5. Collaborate with perception, planning, and control teams to integrate fusion algorithms into the autonomous parking pipeline.
6. Partner with cross-functional teams to define sensor fusion requirements and troubleshoot.
任职资格:
- Education: This position requires a Master/ Bachelor degree in automotive electrical, computer engineering or respective field.
- Work Experience: 3 years of professional working experience. Relevant experience in parking system development is required.
- Special Skills:
- Familiar with Kalman filter and EKF
- Familiar with common multi-target tracking algorithms such as DeepSort and so on
- Familiar with post-processing and fusion algorithms for the perception results of multimodal sensors (including vision, USS, and Radar)
- Familiar with the characteristics of perception sensors, including USS, vision IMU, etc
- Familiar with relevant development tools, languages including CANAPE, INCA, CANOE, Lauterbach C/C++, Python and data format.
- Familiar with vehicle kinematics and dynamic models
- Familiar with common middleware APl