The development of robust and accurate methods for automatic building detection and regularisation using multisource data continues to be a challenge due to point cloud sparsity, high spectral variability, urban objects differences, surrounding complexity, and data misalignment. To address these challenges, constraints on object’s size, height, area, and orientation are generally benefited whic...

Wireless sensor networks (WSNs) provide a low cost solution with respect to maintenance and installation and in particular, building refurbishment and retrofitting are easily accomplished via wireless technologies. Fire emergency detection and response for building environments is a novel application area for the deployment of wireless sensor networks. In such a critical environment, timely dat...

HVAC systems constitute ∼ 40% of energy in commercial buildings, and faults in HVAC account for 5% to 20% of its energy consumption. Typically, HVAC in modern buildings are managed using Building Managing Systems (BMS), and fault detection is one of the essential services provided by BMS to keep HVAC operational. The current techniques used for fault detection fail to detect large number of eff...

Working on building façade is dangerous. Many accidents have occurred, and many workers have lost their lives. We have researched to apply robot systems to prevent these accidents. In this paper, we purposed an algorithm for sensor system of a gondola-typed building façade maintenance robot. The robot system moves on the building façade autonomously, or by remote control. Therefore, window area...

Automatic recognition and reconstruction of buildings from aerial and space images is of great practical interest for many of applications such as cartography and photo-interpretation. Building detection is the first and very difficult step in building recognition and reconstruction. It is to find buildings and separating them from the background in the presence of distractions caused by other ...

The wildland-urban interface (WUI), the area where human development encroaches on undeveloped land, is expanding throughout the western United States resulting in increased wildfire risk to homes and communities. Although census based mapping efforts have provided insights into the pattern of development and expansion of the WUI at regional and national scales, these approaches do not provide ...

The advent of Light Detection and Ranging (LIDAR) technique provides a promising resource for three-dimensional building detection. Most current methods commonly fuse LIDAR data with other multi-spectral images to help remove vegetation based on NDVI or other vegetation indices; however, the fusing process may cause errors that are introduced by resolution differences, geo-referencing, time dif...

The detection of damaged building regions is crucial to emergency response actions and rescue work after a disaster. Change detection methods using multi-temporal remote sensing images are widely used for this purpose. Differing from traditional methods based on change detection for damaged building regions, semantic scene change can provide a new point of view since it can indicate the land-us...

The new social surveillance can be defined as scrutiny through the use of technical means to extract or create personal or group data, whether from individuals or contexts. Examples include: video cameras; computer matching, profiling and data mining; work, computer and electronic location monitoring; biometrics; DNA analysis; drug tests; brain scans for lie detection; various forms of imaging ...