Research
I am interested in computer vision, machine learning, and robotics. My current focus is to develop novel algorithms for solving visual navigation problems such as Motion Segmentation and Tracking, Simultaneous localization and mapping (SLAM) and Visual odometry in dynamic scenes using Neuromorphic Event-based cameras.
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MOMS with Events: Multi-Object Motion Segmentation With Monocular Event Cameras
Chethan M. Parameshwara,
Nitin J. Sanket,
Arjun Gupta,
Cornelia Fermüller,
Yiannis Aloimonos
arXiv, 2020
arXiv
We propose a solution to multi-object motion segmentation using a combination of classical optimization methods along with deep learning and does not require prior knowledge of the 3D motion and the number and structure of objects.
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EVDodgeNet: Deep Dynamic Obstacle Dodging with event cameras
Chethan M. Parameshwara*,
Nitin J. Sanket*,
Chahat Deep Singh,
Ashwin V. Kuruttukulam,
Cornelia Fermüller,
Davide Scaramuzza,
Yiannis Aloimonos
(* equal contribution)
ICRA, 2020
project page
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We present a deep learning based solution for dodging multiple dynamic obstacles on a quadrotor with a single event camera and onboard computation.
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Last updated on Aug 31, 2020. Got this minimalist website design from Jon Barron
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