Poorly maintained roads can cause lethal automobile accidents in various ways. Thus, detecting and reporting damaged parts of is one the most crucial road maintenance tasks, it vital to identify type severity damage help fix as soon possible. Several researchers have used computer vision detection algorithms detect classify damages, including cracking, distortion, disintegration. Providing auto...

The institution of sweeping the roads, streets and compounds of public buildings in most towns is a public nuisance for which the city fathers are responsible. The dust rises in the air and falls into the houses within its reach, especially into the rooms on the first floor. All such surfaces which harbour loose dust should be watered before they are swept. The floors should be mopped with wet ...

Transportation infrastructure is a major source of stormwater runoff that can alter hydrology and contribute significant loading of nutrients, sediment, and other pollutants to surface waters. These increased loads can contribute to impairment of streams in developed areas and ultimately to Lake Champlain. In this study we selected six watersheds that represent a range of road types (gravel and...

Machine vision based evaluation systems are receiving increased attention, day by day, for automated quality inspection of roads. Industrial pavement scanners consist laser and very expensive, hence inaccessible everyone. The proposed work presents a simple novel approach 3D reconstruction potholes an road surface evaluation. technique utilizes Structure from Motion algorithm, along with triang...

Many real world problems require a degree of exibility that is di cult to achieve using hand programmed algorithms. One such domain is vision-based autonomous driving. In this task, the dual challenges of a constantly changing environment coupled with a real time processing constrain make the exibility and e ciency of a machine learning system essential. This chapter describes just such a learn...

Many real world problems quire a degree of flexibility that is diflicult to achieve using hand programmed algorithms. One such domain is vision-based autonomous driving. In this task, the dual challenges of a constantly changing environment coupled with a real t h e processing constrain make the flexibility and efficiency of a machine learning system essential. This chapter describes just such ...

NASA’s Exploration Systems Architecture Study (ESAS) report envisions humans returning to the Moon in the 2020 timeframe. However, many factors still need to be addressed in depth. They include site selection, materials, and design of inhabitable and survivable infrastructure elements. One of the most important issues dealing with a manned return mission to the Moon is lunar dust. Dust suppress...