This article provides a review of the production and uses of maps for autonomous driving
and a synthesis of the opportunities and challenges. For many years, maps have helped …

Nowadays, reliability of sensors is one of the most important challenges for widespread
application of Internet-of-things data in key emerging fields such as the automotive and …

Maps are essential for testing autonomous driving functions. Several map and scenario
formats are available. However, they are usually not compatible with each other, limiting …

Autonomous vehicle (AV) is one of the most challenging engineering tasks of our era. High-
Definition (HD) maps are a fundamental tool in the development of AVs, being considered …

Autonomous vehicles must be able to react in a timely manner to typical and unpredictable
situations in urban scenarios. In this connection, motion planning algorithms play a key role …

Today, perception solutions for Automated Vehicles rely on sensors on board the vehicle,
which are limited by the line of sight and occlusions caused by any other elements on the …

Currently, the increase of transport demands along with the limited capacity of the road
network have increased traffic congestion in urban and highway scenarios. Technologies …

Localization plays an important role in autonomous driving since a high level of accuracy in
vehicle localization is indispensable for a safe navigation. Most of the motion planning …

Autonomous driving requires general methods to generalize unpredictable situations and
reason in complex scenarios where safety is critical and the vehicle must react in a reliable …

As one of the most important tasks in autonomous driving systems, ego-lane detection has
been extensively studied and has achieved impressive results in many scenarios. However …