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PhD Defense
ACTIVE PIXELS FOR HIGH DYNAMIC RANGE AND 3D IMAGING APPLICATIONS

Presenter

Mr Volodymyr Seliuchenko - VUB-ETRO [Email]

Abstract

Our world is being reshaped by machines which are getting closer to humans in
perceptive and cognitive abilities enabling previously unimaginable applications
Autonomous cars, mobile home assistant robots, drone delivery networks are
just a few examples of the emerging disrupting technologies of this brave new
world Accelerating trends in computational power availability fuel the evolution
of artificial intelligence systems which become capable of digesting more and
more information that, for systems interacting with the real world, must come
from sensors These emerging mobile robotics applications rely heavily on the
image and distance sensors to create awareness about their environment the
quality of the sensory data, in most cases, determines the key performance
parameters and system safety Real applications are often posing the sensory
system challenging conditions pushing the sensor specifications to the limits and
often calling for novel sensing and signal processing approaches
In
this work, 2 D and 3 D image sensor systems, the key sensor components of
mobile robotics, are discussed Firstly, quantum efficiency improvement
methods and a method for dynamic range extension of 4 T image pixels that
preserves 4 T pixel dark noise performance are proposed These quantum
efficiency improvement methods and the dynamic range extension method can
be applied to both 2 D and 3 D imaging Further, indirect Time of Flight 3 D image
sensors are analyzed, and improved 3 D image sensors based on Current
Assisted Photonic Demodulators are proposed Finally, a hybrid Time of Flight
method that produces a time domain echo signal using photonic demodulator
sensor is proposed and compared to direct Time of Flight methods.

Meeting ID: 885 4342 4766
Passcode: 2ReTmi

Logistics

Date: 02.02.2021

Time: 15:00

Location: Online https://us02web.zoom.us/j/88543424766?pwd=VndVaVV5WEZvL3pNaWUwb2prQ0pTUT09#success

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