K
Koshy Varghese
Researcher at Indian Institute of Technology Madras
Publications - 85
Citations - 1494
Koshy Varghese is an academic researcher from Indian Institute of Technology Madras. The author has contributed to research in topics: Computer science & Design structure matrix. The author has an hindex of 17, co-authored 75 publications receiving 1265 citations. Previous affiliations of Koshy Varghese include Indian Institutes of Technology.
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Use of Salient Features for the Design of a Multistage Framework to Extract Roads From High-Resolution Multispectral Satellite Images
TL;DR: Two salient features of roads, namely, distinct spectral contrast and locally linear trajectory, are exploited to design a multistage framework to extract roads from high-resolution multispectral satellite images and are compared against a few state-of-the-art methods to validate the superior performance.
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Collision free path planning of cooperative crane manipulators using genetic algorithm
TL;DR: In this article, a new approach for automated path planning of cooperative crane manipulators using a genetic algorithm (GA) is presented, where the inverse kinematic problem is defined as an optimization problem and solved using GA, and the GA approach finds a near-optimal path with lower path cost and less computational time than earlier heuristic searches.
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Accelerometer-Based Activity Recognition in Construction
Liju Joshua,Koshy Varghese +1 more
TL;DR: The study showed that the utilization of best features instead of all features did not affect the classification accuracy significantly but reduced the run time considerably, and multilayer perceptron, a neural network classifier, gave the best results.
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Automated Path Planning of Cooperative Crane Lifts Using Heuristic Search
TL;DR: In this article, a computer-aided path planner for two crane lifts is presented, based on the type of movement of cooperative cranes in synchronous or asynchronous manner and the presence of trapping space.
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Automated Path Planning for Mobile Crane Lifts
TL;DR: In this article, an interference detection technique is used to generate the configuration space and two levels of heuristic search are performed within the C-space to identify lift paths that satisfy the planning requirements.