Related skills
python localization 3d object detection 3d segmentation rbvπ Description
Execute PCP metrics pipeline to assess sensor updates on PCP performance in 3D perception.
Design and run structured A/B tests, incl. side-by-side mounts for winter ODD.
Collaborate with AHE to map sensor lab tests to PCP performance.
Perform root cause analysis of regressions in early fusion under degradation.
Design multi-sensor fusion models to boost perception in adverse weather.
π― Requirements
Strong C++ and Python for PCP pipelines, automated testing, and re-simulations.
Experience with A/B testing methodologies (RBV) for hardware/software changes in varied environments.
Familiarity with perception outputs and weather effects on 3D metrics (snow/fog).
Ability to define data collection plans for winter ODDs (snow, ice, low temperatures).
Experience with multi-modality fusion models for 3D detection, segmentation, and localization.
Bonus: Performance optimization for ML on low-power edge compute (Nvidia Thor, TensorRT).
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