Ali Khaloo

Cornell University | CU · Cornell Tech

Recent advances have enabled the use of modern remote sensing technologies to create high-resolution 3 D point clouds that capture the in-situ geometry of infrastructure systems. However, there is a need for new methods of analyzing and leveraging these complex data types. In this paper, the authors present an approach to quantifying textural deter...

Dams are a critical infrastructure system for many communities, but they are also one of the most challenging to inspect. Dams are typically very large and complex structures, and the result is that inspections are often time-intensive and require expensive, specialized equipment and training to provide inspectors with comprehensive access to the s...

Accurate and rapid condition assessment of in-service structural components is critical to ensure safety and serviceability. One major assessment consideration is the detection and quantification of structural section loss due to deterioration, for instance, from corrosion. Modern three-dimensional (3D) imaging techniques, which generate high-resol...

Accurate condition assessment of in-service infrastructure systems is critical for system-wide prioritization decisions. During a routine inspection, inspectors visually observe and manually record their observations, a costly and time-consuming process with subjective and inconsistent results. Thus, making the inspection process less costly, more...

Dams are a critical infrastructure system for many communities, but they are also one of the most challenging to inspect. Dams are typically very large and complex structures, and the result is that inspections are often time-intensive and require expensive, specialized equipment and training to provide inspectors with comprehensive access to the s...

Modern remote sensing technologies such as three-dimensional (3D) laser scanners and image-based 3D scene reconstruction are in increasing demand for applications in civil infrastructure design, maintenance, operation, and as-built construction verification. The complex nature of the 3D point clouds these technologies generate, as well as the often...

Over the past decade, there has been growing interest in the field of robotic inspection systems, in particular Unmanned Aerial Vehicles (UAV). These systems afford many advantages in terms of reducing the cost of condition assessments and expediting the data acquisition while improving the monitoring process efficiency. However, robotic technologi...

Dense three-dimensional (3D) point clouds of infrastructure systems, generated from laser scanners or through multi-view photogrammetry, have significant potential as a source of nondestructive evaluation information. The growing maturity of these techniques make them capable of reconstructing photorealistic 3D models with accuracy on the millimete...

Dense three-dimensional (3D) point clouds of infrastructure systems, generated from laser scanners or through multi-view photogrammetry, have significant potential as a source of nondestructive evaluation information. The growing maturity of these techniques make them capable of reconstructing photorealistic 3D models with high precision at the mil...

Modern remote sensing technologies such as three-dimensional (3D) laser scanning or photogrammetry are in increasing demand for civil engineering applications such as infrastructure maintenance and as-built construction verification. In order to leverage the resulting point clouds, reliable estimation of the normal vector for each point in a cloud...

Unmanned aerial vehicles (UAV) are now a viable option for augmenting bridge inspections. Utilising an integrated combination of a UAV and computer vision can decrease costs, expedite inspections and facilitate bridge access. Any such inspection must consider the design of the UAV, the choice of cameras, data acquisition, geometrical resolution, sa...

After any disaster, there is an immediate need to assess the integrity of local structures. When available, the displacement time history of a structure during the event can provide an invaluable source of triage assessment information. Although conventional sensors such as accelerometers readily provide this information, many structures are not in...

Accurate and rapid condition assessment of in-service infrastructure systems is critical for system-wide prioritization decisions. One major assessment consideration is structural section loss due to deterioration, for instance from corrosion. Modern 3D imaging, which generates high-resolution 3D point clouds, is capable of measuring this degradati...

Accurate condition assessment of in-service infrastructure systems is critical for system-wide prioritization decisions. Current protocols require lengthy inspections and expensive equipment to examine large infrastructure systems. Furthermore, changes in inspection protocols over time can create discontinuities in recording and understanding the t...

Video monitoring of public spaces is becoming increasingly ubiquitous, particularly near essential structures and facilities. During any hazard event that dynamically excites a structure, such as an earthquake or hurricane, proximal video cameras may inadvertently capture the motion time-history of the structure during the event. If this dynamic ti...

Modern remote sensing technologies have enabled the creation of high-resolution 3D point clouds of infrastructure systems. In particular, photogrammetric reconstructions using Dense-Structure-from-Motion algorithm can now yield point clouds with the necessary resolution to capture small-strain displacements. By tracking changes in these point cloud...

Currently, most infrastructure inspection standards require inspectors to visually assess structural integrity and log findings for comparison during future inspections. This process is qualitative and often inconsistent. Furthermore, changes in inspection protocols over time can create discontinuities in understanding the time-history of a structu...

The ability to accurately and rapidly assess structural integrity after a disaster is critical from both a safety and economic perspective. Existing post-disaster inspection methods are time-consuming and expensive, requiring highly trained inspectors to travel to target sites and manually collect data. Automated analysis of civil structures from v...

Structural Health Monitoring (SHM) using nondestructive test (NDT) data has become very promising for finite element (FE) model updating, model verification, structural evaluation, and damage assessment. This research presents a multiresponse structural parameter estimation method for the FE model updating using data obtained from a nondestructive...