About this role
A computer vision intern is sought to develop detect, track, and classify algorithms for airborne collision avoidance in support of Advanced Air Mobility research. Current and future datasets include video recorded from UAV of other aircraft and UAV along with ground based surveillance systems. The intern may assist in collecting data during flight test, organizing and labeling data, and developing algorithms for intruder aircraft detection, tracking, and classification from a multicamera array.
Intermediate programming level for C++ or Python
Intermediate software development skills are required. Computer vision and machine learning skills are desired. Experience with embedded systems and linux environment is beneficial. Familiarity with UAV is a bonus.
**Eligible Applicants:** Student
**Academic Level:** Undergraduate Junior, Undergraduate Senior, Graduate Master's, Graduate Doctoral
**Activity Type:** In-person
**Citizenship:** US Citizen Only
**Type:** Internships