Chethan M Parameshwara

I am a Ph.D. student in the Neuroscience and Cognitive Science (NACS) program at the University of Maryland, College Park (UMD) , working with my advisors Prof. Yiannis Aloimonos and Dr. Cornelia Fermüller in Perception & Robotics Group

Prior to joining the Ph.D. program, I received a Master's degree in Robotics Engineering from A. James Clark School of Engineering at UMD and Bachelor's degree in Electronics and Communication Engineering from Visvesvaraya Technological University, India.

Since then I've had the pleasure to work at:

• Neurala as a research intern
• Robot Training Academy Inc. as an intern
• Bosch as a software engineer
• Indian Institute of Science as a Summer Research Fellow

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• Jun 2020 : MOMS with Events paper is now available on arXiv
• May 2020 : EVDodgeNet: Deep Dynamic Obstacle Dodging with event cameras paper got accepted to ICRA 2020
• Jul 2018 : Event-based Moving Object Detection and Tracking paper got accepted to IROS 2018
• Aug 2017 : Starting PhD in Neuroscience and Cognitive Science

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.

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.

We present a deep learning based solution for dodging multiple dynamic obstacles on a quadrotor with a single event camera and onboard computation.

We present a new approach to moving object tracking with asynchronous event cameras.

Last updated on Aug 31, 2020. Got this minimalist website design from Jon Barron