21 citations · 100 across the 21 of their papers we have counts for
8 papers · 1 filter
Gap Reduced Minimum Error Robust Simultaneous Estimation For Unstable Nano Air Vehicle
Jinraj V Pushpangathan, Harikumar Kandath, Suresh Sundaram +1
This paper proposes a novel Gap Reduced Minimum Error Robust Simultaneous (GRMERS) estimator for resource-constrained Nano Aerial Vehicle (NAV) that enables a single estimator to p…
Meta-Cognition-Based Simple And Effective Approach To Object Detection
Sannidhi P Kumar, Chandan Gautam, Suresh Sundaram
Recently, many researchers have attempted to improve deep learning-based object detection models, both in terms of accuracy and operational speeds. However, frequently, there is a…
Restricted Airspace Protection using Multi-UAV Spatio-TemporalMulti-Task Allocation
Shridhar Velhal, Suresh Sundaram
This paper addresses the problem of restricted airspace protection from invaders using the cooperative multi-UAV system. The objective is to detect and capture the invaders coopera…
CGAP2: Context and gap aware predictive pose framework for early detection of gestures
Nishant Bhattacharya, Suresh Sundaram
With a growing interest in autonomous vehicles' operation, there is an equally increasing need for efficient anticipatory gesture recognition systems for human-vehicle interaction.…
Generalized Continual Zero-Shot Learning
Chandan Gautam, Sethupathy Parameswaran, Ashish Mishra +1
Recently, zero-shot learning (ZSL) emerged as an exciting topic and attracted a lot of attention. ZSL aims to classify unseen classes by transferring the knowledge from seen classe…
Full Attitude Intelligent Controller Design of a Heliquad under Complete Failure of an Actuator
Eeshan Kulkarni, Suresh Sundaram
In this paper, we design a reliable Heliquad and develop an intelligent controller to handle one actuators complete failure. Heliquad is a multi-copter similar to Quadcopter, with…
Scaffolding Reflection in Reinforcement Learning Framework for Confinement Escape Problem
Nishant Mohanty, Suresh Sundaram
In this paper, a novel Scaffolding Reflection in Reinforcement Learning (SR2L) is proposed for solving the confinement escape problem (CEP). In CEP, an evader's objective is to att…
A Scenario-based Branch-and-Bound Approach for MES Scheduling in Urban Buildings
Mainak Dan, Seshadhri Srinivasan, Suresh Sundaram +2
This paper presents a novel solution technique for scheduling multi-energy system (MES) in a commercial urban building to perform price-based demand response and reduce energy cost…