… of maps for autonomous driving and a synthesis of the opportunities and challenges. For …
years, maps have helped human drivers make better decisions, and in the future, maps will …

… And Mapping field when considering the recent evolution of autonomous driving. The
growing interest regarding self-driving cars has given new directions to localization and …

… map for the field of autonomous driving. We … map specification, an example creation process
as well as the access library libLanelet which is available for download. Based on the map, …

… 3D cooperative mapping method that can be used in autonomous driving applications or
other robot mapping scenarios. No knowledge is required for the vehicles’ initial pose for map …

… , play several roles in support of autonomous driving and may be able to … map” for autonomous
driving is also facilitated by techniques such as Simultaneous Localization and Mapping …

… pre-built point cloud map information to perform … maps to accurately localize them in the
world, and leverages the confusion matrix formulation to construct a probabilistic semantic map …

… This paper reviews recent HD map creation methods that leverage both 2D and 3D map …
HD maps and their usefulness in autonomous driving and gives a detailed overview of HD map …

… The first portion of our localization framework is the offline mapping stage, which generates
the map to be used for online localization. Our goal here is to generate a map that is …

… of autonomous driving technologies, and explore how such tensions can open up avenues
for counter-mapping the … The design and massive commercialization of autonomous vehicles …

… precise map, but we unified the terminologies into the HD map in … map-based autonomous
driving, we can classify the map features into three classes. The map features on the HD map …