… map built by the system is used for localization and for autonomous navigation as the vehicle
… to design a precise large-scale mapping system for autonomous vehicles, suitable for use …

… whereas certain issues like building consistent largescale maps of the environment have
been … towards mapping large areas therefore has a different aim compared to the vehicles …

… NeuralMapper infers the probability of each grid map cell … for localization purposes in a
self-driving car and most of the … literature for methods using other grid mapping approaches. …

… a fully automated mapping system for low-speed self-driving vehicles. A novel mapping
pipeline … on more than 1,000 maps, covering most of the operating scenarios of such low-speed …

… maps in various conditions (weather, season, etc.). We also go through the emerging domain
of multi-vehicle SLAM and its link with self-driving cars. … the various largescale experiments …

… and mapping of autonomous cars. The common software platform for localisation and mapping
… guidelines of the localisation and mapping software. A graph structure of localisation and …

… are complementary to the driver’s own senses, experiences, and judgment, autonomous
vehicles require far more detailed maps to aid their decision-making process. …

… of localization, mapping, scene perception, vehicle control, trajectory optimization, and
higher-level planning decisions associated with autonomous vehicle development remain full of …

… in autonomous cars [26], long-term maps’ constructions for … limit the full potential of the
commercial autonomous car from … for the fullscale testing and validation of autonomous cars [134], …

… maps. We demonstrate the performance of the system on a full-scale autonomous vehicle
navigating in a challenging rural environment and benchmark the system on a large amount …