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Ravindra Ranasinghe

7 accepted papers

2020

A Bayesian approach for gas source localization in large indoor environments

IROS 2020poster

The main contribution of this paper is a probabilistic estimator that assists a mobile robot to locate a gas source in an indoor environment. The scenario is that a robot equipped with a gas sensor enters a building after the gas is released due to a leak or explosion. The problem is discretized by…

Cited by 7SourceScholar
2020

Active Perception for Outdoor Localisation with an Omnidirectional Camera

IROS 2020poster

This paper presents a novel localisation framework based on an omnidirectional camera, targeted at outdoor urban environments. Bearing only information to persistent and easily observable high-level semantic landmarks (such as lamp-posts, street-signs and trees) are perceived using a Convolutional N…

Cited by 29SourceScholar
2020

Localising PMDs through CNN Based Perception of Urban Streets

ICRA 2020poster

The main contribution of this paper is a novel Extended Kalman Filter (EKF) based localisation scheme that fuses two complementary approaches to outdoor vision based localisation. This EKF is aided by a front end consisting of two Convolutional Neural Networks (CNNs) that provide the necessary perce…

Cited by 10SourceScholar
2018

A Monocular Indoor Localiser Based on an Extended Kalman Filter and Edge Images from a Convolutional Neural Network

IROS 2018poster

The main contribution of this paper is an extended Kalman filter (EKF)based algorithm for estimating the 6 DOF pose of a camera using monocular images of an indoor environment. In contrast to popular visual simultaneous localisation and mapping algorithms, the technique proposed relies on a pre-buil…

Cited by 9SourceScholar
2017

Distance function based 6DOF localization for unmanned aerial vehicles in GPS denied environments

IROS 2017poster

This paper presents an algorithm for localizing an unmanned aerial vehicle (UAV) in GPS denied environments. Localization is performed with respect to a pre-built map of the environment represented using the distance function of a binary mosaic, avoiding the need for extraction and explicit matching…

Cited by 15SourceScholar
2017

RISAS: A novel rotation, illumination, scale invariant appearance and shape feature

ICRA 2017poster

This paper presents a novel appearance and shape feature, RISAS, which is robust to viewpoint, illumination, scale and rotation variations. RISAS consists of a keypoint detector and a feature descriptor both of which utilise texture and geometric information present in the appearance and shape chann…

Cited by 12SourceScholar
2015

Active recognition and pose estimation of household objects in clutter

ICRA 2015poster

This paper presents an active object recognition and pose estimation system for household objects in a highly cluttered environment. A sparse feature model, augmented with the characteristics of features when observed from different viewpoints is used for recognition and pose estimation while a dens…

Cited by 54SourceScholar