User profiles for Kourosh Khoshelham

Kourosh Khoshelham

University of Melbourne
Verified email at unimelb.edu.au
Cited by 7923

Indoor localization improved by spatial context—A survey

…, M Ramezani, D Acharya, K Khoshelham… - ACM Computing …, 2019 - dl.acm.org
Indoor localization is essential for healthcare, security, augmented reality gaming, and many
other location-based services. There is currently a wealth of relevant literature on indoor …

Real-time monitoring of construction sites: Sensors, methods, and applications

…, Y Liu, S Hu, Y Fang, K Khoshelham… - Automation in …, 2022 - Elsevier
The construction industry is one of the world's largest industries, with an annual budget of
$10 trillion globally. Despite its size, the efficiency and growth in labour productivity in the …

[HTML][HTML] Accuracy and resolution of kinect depth data for indoor mapping applications

K Khoshelham, SO Elberink - sensors, 2012 - mdpi.com
: Consumer-grade range cameras such as the Kinect sensor have the potential to be used in
mapping applications where accuracy requirements are less strict. To realize this potential …

Locomotion activity recognition using stacked denoising autoencoders

F Gu, K Khoshelham, S Valaee… - IEEE Internet of …, 2018 - ieeexplore.ieee.org
Locomotion activity recognition (LAR) is important for a number of applications, such as
indoor localization, fitness tracking, and aged care. Existing methods usually use handcrafted …

BIM-PoseNet: Indoor camera localisation using a 3D indoor model and deep learning from synthetic images

D Acharya, K Khoshelham, S Winter - ISPRS journal of photogrammetry …, 2019 - Elsevier
… Author links open overlay panel Debaditya Acharya , Kourosh Khoshelham , Stephan …
model that was used in our previous works (Khoshelham et al., 2017, Ramezani et al., 2017, …

Vehicle positioning in GNSS-deprived urban areas by stereo visual-inertial odometry

M Ramezani, K Khoshelham - IEEE Transactions on Intelligent …, 2018 - ieeexplore.ieee.org
Accurate and continuous positioning in global navigation satellite system (GNSS) deprived
urban areas is crucial for autonomous vehicles and mobile mapping systems. To achieve this …

Segment-based classification of damaged building roofs in aerial laser scanning data

K Khoshelham, SO Elberink… - IEEE Geoscience and …, 2013 - ieeexplore.ieee.org
Identifying damaged buildings after natural disasters such as earthquake is important for the
planning of recovery actions. We present a segment-based approach to classifying …

Accuracy analysis of kinect depth data

K Khoshelham - The International Archives of the …, 2012 - isprs-archives.copernicus.org
This paper presents an investigation of the geometric quality of depth data obtained by the
Kinect sensor. Based on the mathematical model of depth measurement by the sensor a …

[HTML][HTML] Performance evaluation of automated approaches to building detection in multi-source aerial data

K Khoshelham, C Nardinocchi, E Frontoni… - ISPRS Journal of …, 2010 - Elsevier
Automated approaches to building detection in multi-source aerial data are important in many
applications, including map updating, city modeling, urban growth analysis and monitoring …

Closed-form solutions for estimating a rigid motion from plane correspondences extracted from point clouds

K Khoshelham - ISPRS Journal of Photogrammetry and Remote …, 2016 - Elsevier
Registration is often a prerequisite step in processing point clouds. While planar surfaces are
suitable features for registration, most of the existing plane-based registration methods rely …