Research Supervisor Connect
Research Area:
Robotics, Computer Vision, Optimization
Aerospace, Mechanical and Mechatronic Engineering
In robotics, the conventional solutions for mapping dynamic environments focus on either trying to remove the data associated with moving objects, or detect and track the moving objects separately using traditional object tracking approaches. Ignoring dynamics in applications where the environment is cluttered with moving objects can drastically affect the safety of operations in such environments. Separately tracking moving objects, on the other hand, will produce representations of the world where the static and moving parts of the scene are decoupled. This can drastically affect the accuracy of the information used by the navigation and path planning algorithms, and in consequence the safe operation of autonomous vehicles.
The aim of this project is to develop an integrated framework to estimate and generate virtual representations of dynamic scenes that can be directly used by autonomous vehicles and intelligent systems to plan and perform tasks in a safe manner. https://robotics.sydney.edu.au/our-research/robotic-perception/
Successful candidates will have:
How to Apply:
To apply, please email viorela.ila@sydney.edu.au, with the subject line “PhD Application:” and your name. Include the following:
The opportunity ID for this research opportunity is 3477