Lane detection is an essential component of Advanced Driver Assistance System. The cognition on the roads is increasing day by day due to increase in the four wheelers on the road. The cognition coupled with ignorance towards road rules is contributing to road accidents. The lane marking violence is one of the major causes for accidents on highways in India. In this work we have designed and im...

Road network extraction from remotely sensed imagery has become a powerful tool for updating geospatial databases, owing to the success of convolutional neural (CNN) based deep learning semantic segmentation techniques combined with high-resolution that modern remote sensing provides. However, most CNN approaches cannot obtain high precision maps rich details when processing imagery. In this st...

Advances in wireless transmission and increasing quantity of GPS in vehicles flood us with massive amount of trajectory data. The large amounts of trajectories imply considerable quantity of interesting road condition that current traffic database lacks. Mining live traffic condition from trajectories is a challenge due to complexity of road network model, uncertainty of driving behavior as wel...

Road information is fundamental not only in the military field but also common daily living. Automatic road extraction from a remote sensing images can provide references for city planning as well as transportation database and map updating. However, owing to the spectral similarity between roads and impervious structures, the current methods solely using spectral characteristics are often inef...

Forest Road Inventory and Assessments have focused primarily on stream crossing evaluation. Recently, interest has turned to methods of defining hydrologic connectivity in the road system as an important element for evaluating potential impacts of forest road systems on fishery resources. This paper presents a GIS/database system and the associated field inventory used to document and manage a ...