城区静态感知算法专家_xc

Bosch Rexroth Pty. Ltd.

Shanghai, China
On-site
Urban noa static perception
Road structure recognition
Map-free perception
Focus on urban NOA road structure recognition and map-free static perception capabilities

Job Summary

  • Focus on urban NOA road structure recognition and map-free static perception capabilities.
  • Develop algorithms for lane line detection, curb detection, road marking detection, and intersection understanding.
  • Responsible for optimizing perception models for embedded platforms and ensuring real-time performance on limited compute.

Matching Summary

Focus on urban NOA road structure recognition and map-free static perception capabilities.

Skills & Requirements

Must-have

  • urban NOA static perception
  • road structure recognition
  • map-free perception
  • BEV perception models
  • deep learning
  • Transformer, CNN architectures

Nice-to-have

  • multi-task learning
  • end-to-end perception frameworks
  • SLAM, multi-view geometry
  • top conferences publications

Key Requirements

  • Master's degree or above
  • Computer Vision, Pattern Recognition, Machine Learning, Robotics background
  • Autonomous driving industry background
  • Proficient in Python/C++
  • Experience with embedded platform deployment

Work Rights

Not specified

Tailored Resume

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