Component-based Detection for 3D Objects

This project in collaboration with Lockheed Martin Canada and University Laval is on aerial surveillance. The goal is to develop and implement algorithms for the automatic object detection using electro-optics data to be used in conjunction with standard operation with the aim of enhancing the speed and accuracy of the regular detection of objects from aerial images. The challenge is to recognize 3D objects in real-world 2D imagery. The objectives of this project are 1) to develop both innovative and efficient methods and theories for the detection of 3D object and 2) to acquire and implement the aerial detection of 3D objects with state-of-the-art techniques.

Faculty Supervisor:

Dr. Yunlong Sheng

Student:

Bora Ung

Partner:

Lockheed Martin Canada

Discipline:

Engineering

Sector:

Aerospace and defense

University:

Université Laval