Register now After registration you will be able to apply for this opportunity online.
This opportunity is not published. No applications will be accepted.
Designing an Event Camera for Learning
The goal of this project is to find out how important the design parameters of event cameras, such as spatial and temporal resolution, are for deep learning applications.
Event cameras such as the Dynamic Vision Sensor (DVS) are recent sensors with a lot of potential for high-speed and high-dynamic-range robotic applications.They have been successfully applied in many applications, such as high speed video and high speed visual odometry. Recently, many new event cameras have been commercialized with higher and higher spatial resolutions and high temporal resolution. However, these developments steadily increase the the computational requirements for downstream algorithms, increasing the necessary bandwidth and reducing the time available to process events. In this work we want to find out how important these design parameters are for deep learning applications. Applicants should have experience in coding image processing algorithms in C++ and experience with learning frameworks in python such as tensorflow or pytorch.
Event cameras such as the Dynamic Vision Sensor (DVS) are recent sensors with a lot of potential for high-speed and high-dynamic-range robotic applications.They have been successfully applied in many applications, such as high speed video and high speed visual odometry. Recently, many new event cameras have been commercialized with higher and higher spatial resolutions and high temporal resolution. However, these developments steadily increase the the computational requirements for downstream algorithms, increasing the necessary bandwidth and reducing the time available to process events. In this work we want to find out how important these design parameters are for deep learning applications. Applicants should have experience in coding image processing algorithms in C++ and experience with learning frameworks in python such as tensorflow or pytorch.
The goal of this project is to find out how important the design parameters of event cameras, such as spatial and temporal resolution, are for deep learning applications.
The goal of this project is to find out how important the design parameters of event cameras, such as spatial and temporal resolution, are for deep learning applications.
Daniel Gehrig (dgehrig (at) ifi (dot) uzh (dot) ch), Antonio Loquercio (antonilo (at) ifi (dot) uzh (dot) ch)
Daniel Gehrig (dgehrig (at) ifi (dot) uzh (dot) ch), Antonio Loquercio (antonilo (at) ifi (dot) uzh (dot) ch)