Direct and indirect ecological impacts of roads and their expansion are well documented: habitat degradation, ecosystem fragmentation, changes in natural drainage systems and water quality. Important landscape scale impacts concern roads about direct and indirect effects on deforestation and land use land cover change, that lead to habitat loss and fragmentation, edge effect, resources exploita...

In complex mining environments, driverless trucks are required to cooperate with multiple intelligent systems. They must perform obstacle avoidance based on factors such as the site road width, type, vehicle body movement state, and ground concavity-convexity. Targeting open-pit area, this paper proposes an object detection (IMOD) model developed using a 5G-multi-UAV deep learning approach. The...

We consider the problem of multiclass road sign detection using a classification function with multiplicative kernel comprised from two kernels. We show that problems of detection and within-foreground classification can be jointly solved by using one kernel to measure object-background differences and another one to account for within-class variations. The main idea behind this approach is tha...

In this paper we examine a system based on computer vision for automated detection of change and anomalies in GIS road networks using very high resolution satellite images. The system consists out of a low-level feature detection process, which extracts road junctions, and a high-level matching process, which uses graph matching to find correspondences between the detected image information and...

We present a novel methodology for accurately registering a vector road map to wide area motion imagery (WAMI) gathered from an oblique perspective by exploiting the local motion associated with vehicular movements. Specifically, we identify and compensate for global motion from frame-to-frame in the WAMI which then allows ready detection of local motion that corresponds strongly with the locat...

Classification is very important in the process of Machine Learning and Data Mining. Traditional Neural Network classifier work with many kinds of data such as items, text documents, signals, networks, but there is lack of study on Trajectory Classification based on Neural Network. In this paper, proposing a system for classification of Trajectories on Road Network using classifier Neural Netwo...

A Supplementary Road Safety Package (SRSP) was developed in New Zealand in 1995/1996 to supplement the compulsory breath test (CBT) and speed camera programmes introduced in 1993. A major feature of the package was the use of emotion and shock advertising campaigns not only to affect high risk driving attitudes and behaviours towards speeding and drink-driving but also to encourage the use of s...

In order to be deployed in driving environments, Intelligent transport system (ITS) must be able to recognize and respond to exceptional road conditions such as traffic signs, highway work zones and imminent road works automatically. Recognition of traffic sign is playing a vital role in the intelligent transport system, it enhances traffic safety by providing drivers with safety and precaution...