Autonomous navigation requires both a precise and robust mapping and localization
solution. In this context, Simultaneous Localization and Mapping (SLAM) is a very well …

Autonomous driving is believed to provide numerous benefits for individuals and society,
including increased road safety, reduced traffic congestion, and an improved ecological …

The accelerated proliferation of geographic information systems (GIS), especially in the last
decade, has greatly expanded the connotation of GIS technology from primarily a diverse …

Automated driving research over the past decades has mostly focused on highway
environments. Recent technological developments have drawn researchers and …

Machine learning is an established and frequently used technique in industry and
academia, but a standard process model to improve success and efficiency of machine …

Autonomous vehicles are expected to be commercialized within a few years, and
researchers have investigated various factors that influence their adoption. However, only a …

Intelligent Traffic Systems (ITS) are currently evolving in the form of a cooperative ITS or
connected vehicles. Both forms use the data communications between Vehicle-to-Vehicle …

In autonomous driving, detecting reliable and accurate lane marker positions is a crucial yet
challenging task. The conventional approaches for the lane marker detection problem …

Rapid technological development has changed drastically the automotive industry. Network
communication has improved, helping the vehicles transition from completely machine-to …

Every revolution promises a spirit of optimism and significant changes. Connected and
automated vehicles (CAVs) are coming to our roadways. CAVs have a crucial role to play in …