Internship/Master Thesis - Optimizing AD perception using Egocentric based matching metric (m/f/d)
Internship/Master Thesis - Optimizing AD perception using Egocentric based matching metric (m/f/d)
Ingolstadt, DE, 85053 Berlin, DE, 10178 München, DE, 80807
Internship/Master Thesis - Optimizing AD perception using Egocentric based matching metric (m/f/d)
We are CARIAD, the automotive software company of the Volkswagen Group.Our teams build automotive software platforms and digital customer functions for iconic brands like Audi, Volkswagen, and Porsche –supporting the Volkswagen Group in becoming the leading automotive technology company. With CARIDIANS in Germany, the USA, China, Estonia, and India, we are transforming automotive mobility for everyone. Join us and be part of this exciting journey!
YOUR TEAM
To support our "ADAS/AD Predevelopment" team, we are currently looking for an intern or thesis student. Our department works on software for automated driving in urban environments. Within this department, we are a team of ambitious and highly motivated experts in the field of environment perception for self-driving vehicles
WHAT YOU WILL DO
• Conduct an in-depth study and summarization of existing research related to multi-object tracking, safety-critical applications, and situation awareness in autonomous driving
• Implement, train, and rigorously evaluate advanced perception algorithms for both modular (e.g., tracking-by-detection) and end-to-end multi-object tracking systems
• Research and apply cutting-edge techniques, such as training tracking pipelines with new egocentric matching criteria integrated as loss functions, to directly enhance bounding box accuracy and robustness, particularly for partially occluded objects
• Systematically analyze algorithm performance using large-scale datasets and contribute improvements to our AD perception stack
• Collaborate closely with ADAS/AD perception experts on state-of-the-art autonomous driving challenges
WHO YOU ARE
• Enrolled student in computer science, electrical engineering, robotics, or related field with a strong focus on computer vision and machine learning (please specify expected date of your graduation or end of enrollment)
• Strong background in computer vision (esp. multi-object tracking, object detection) and deep learning
• Proficient in Python, PyTorch, Git and OpenCV. Experience with C++ is beneficial
• Excellent problem-solving skills demonstrated through projects or prior experience; possess a research-oriented mindset
• Strong analytical and communication skills (English required); collaborative attitude
• Familiarity with diverse tracking architectures or advanced evaluation techniques is advantageous
NICE TO KNOW
- Remote work options within Germany
- Duration: 3 to 6 months
- 35-hour week
At CARIAD, we value individuality and diversity. We see great strength in our differences and can all benefit from the unique perspectives of others. We strive to employ people with diverse backgrounds who have the expertise, energy and focus to advance our mission. If you're unable to submit an application because of a disability, please contact us at careers@cariad.technology.
We are CARIAD, the automotive software company of the Volkswagen Group.Our teams build automotive software platforms and digital customer functions for iconic brands like Audi, Volkswagen, and Porsche –supporting the Volkswagen Group in becoming the leading automotive technology company. With CARIDIANS in Germany, the USA, China, Estonia, and India, we are transforming automotive mobility for everyone. Join us and be part of this exciting journey!
YOUR TEAM
To support our "ADAS/AD Predevelopment" team, we are currently looking for an intern or thesis student. Our department works on software for automated driving in urban environments. Within this department, we are a team of ambitious and highly motivated experts in the field of environment perception for self-driving vehicles
WHAT YOU WILL DO
• Conduct an in-depth study and summarization of existing research related to multi-object tracking, safety-critical applications, and situation awareness in autonomous driving
• Implement, train, and rigorously evaluate advanced perception algorithms for both modular (e.g., tracking-by-detection) and end-to-end multi-object tracking systems
• Research and apply cutting-edge techniques, such as training tracking pipelines with new egocentric matching criteria integrated as loss functions, to directly enhance bounding box accuracy and robustness, particularly for partially occluded objects
• Systematically analyze algorithm performance using large-scale datasets and contribute improvements to our AD perception stack
• Collaborate closely with ADAS/AD perception experts on state-of-the-art autonomous driving challenges
WHO YOU ARE
• Enrolled student in computer science, electrical engineering, robotics, or related field with a strong focus on computer vision and machine learning (please specify expected date of your graduation or end of enrollment)
• Strong background in computer vision (esp. multi-object tracking, object detection) and deep learning
• Proficient in Python, PyTorch, Git and OpenCV. Experience with C++ is beneficial
• Excellent problem-solving skills demonstrated through projects or prior experience; possess a research-oriented mindset
• Strong analytical and communication skills (English required); collaborative attitude
• Familiarity with diverse tracking architectures or advanced evaluation techniques is advantageous
NICE TO KNOW
- Remote work options within Germany
- Duration: 3 to 6 months
- 35-hour week
At CARIAD, we value individuality and diversity. We see great strength in our differences and can all benefit from the unique perspectives of others. We strive to employ people with diverse backgrounds who have the expertise, energy and focus to advance our mission. If you're unable to submit an application because of a disability, please contact us at careers@cariad.technology.
Ingolstadt, DE, 85053 Berlin, DE, 10178 München, DE, 80807