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CA
CARIAD SE
4d ago

Internship / Thesis - Safety-Critical KPIs for Perception, Tracking & Planning(m/w/x)

Ingolstadt, Berlin, München
from 13.9 / hour
Full-timeInternshipWith Home Office

Description

You will drive the future of autonomous driving by developing safety-critical algorithms and innovative metrics that translate complex perception data into meaningful safety costs.

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Requirements

  • Enrolled student in relevant technical field
  • Foundations in computer vision and ML
  • Experience in 3D detection or tracking
  • Proficiency in Python and deep learning
  • Structured work, commitment, and flexibility
  • Strong communication and analytical skills

Education

Currently in higher education

Tasks

  • Support a PhD student with safety-critical 3D object detection
  • Advance tracking and situational awareness for autonomous driving
  • Summarize research literature related to your project
  • Develop and prototype algorithmic ideas for safety-critical perception
  • Incorporate feedback from motion forecasting and planning modules
  • Design evaluation metrics for physically meaningful safety costs
  • Implement metrics that go beyond standard mAP and recall
  • Conduct comprehensive experiments on internal and public datasets

Tools & Technologies

PythonPyTorchscikit-learnPytorchGeometric

Languages

EnglishBusiness Fluent

Benefits

Flexible Working

  • Remote work options

Other Benefits

  • Application assistance for disabilities
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