Search Results for author: S. N. Omkar

Found 4 papers, 2 papers with code

A Supervised Learning Methodology for Real-Time Disguised Face Recognition in the Wild

1 code implementation8 Sep 2018 Saumya Kumaar, Abhinandan Dogra, Abrar Majeedi, Hanan Gani, Ravi M. Vishwanath, S. N. Omkar

The modern day scenario, where security is of prime concern, regular face identification techniques do not perform as required when the faces are disguised, which calls for a different approach to handle situations where intruders have their faces masked.

Face Identification Face Recognition

JuncNet: A Deep Neural Network for Road Junction Disambiguation for Autonomous Vehicles

no code implementations31 Aug 2018 Saumya Kumaar, Navaneethkrishnan B, Sumedh Mannar, S. N. Omkar

With a great amount of research going on in the field of autonomous vehicles or self-driving cars, there has been considerable progress in road detection and tracking algorithms.

Junction Detection Self-Driving Cars

Bipedal Walking Robot using Deep Deterministic Policy Gradient

3 code implementations16 Jul 2018 Arun Kumar, Navneet Paul, S. N. Omkar

The control systems community has started to show interest towards several machine learning algorithms from the sub-domains such as supervised learning, imitation learning and reinforcement learning to achieve autonomous control and intelligent decision making.

BIG-bench Machine Learning Imitation Learning +2

Identification of Helicopter Dynamics based on Flight Data using Nature Inspired Techniques

no code implementations12 Nov 2014 S. N. Omkar, Dheevatsa Mudigere, J Senthilnath, M. Vijaya Kumar

Most of the traditional techniques require a model structure to be defined apriori and in case of helicopter dynamics, this is difficult due to its complexity and the interplay between various subsystems. To overcome this difficulty, non-parametric approaches are commonly adopted for helicopter system identification.

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