Safe driving and minimizing the number of casualties are the main motivations of
researchers and car companies for decades. They also care very much on saving fuel …

Autonomous driving vehicles (ADVs) are the next significant evolution in transportation
systems. Using machine learning techniques supported by strong processing units and …

The development of critical cooperative autonomous vehicle systems is increasingly
complex due to the inherent multidimensional problem that encompasses control …

The deployment of information and communication technologies in vehicles and into the
transportation infrastructure in general, holds the promise of significant improvements to …

In this chapter, a collaborative work between stereo and a laser scanning system is
presented in order to obtain an enriched matrix of rectangular coordinates of elements in a …

Autonomous Vehicles (AVs) should result in tremendous benefits to safe human
transportation. Recent reports indicate a global average of 3,287 road crash related fatalities …

Featured Application A road environment-type (RET) detection function could improve the
road awareness of inexperienced car drivers, especially in urban areas, and by doing so, it …

Unmanned delivery has been developed rapidly worldwide in recent years. In China, A
number of enterprises have carried out fixed-point trial operation for closed parks, tourist …

Traffic sign data is used as input for detecting change in the type of urban road environment
in which an ego-car is driven. The automatic urban road environment type detection is seen …

Road traffic accidents have always been a concern to the driving community which has led
to various research developments for improving the way we drive the vehicles. Since human …