… Robotour 2016 with model cars in scale 1:5, it is our … self-driving car, the presented approach
can be implemented in other vehicles, like unmanned aerial vehicles (UAV), autonomous …

… for local vehicle localization of self-driving cars. State-of-the-art approaches to vehicle …
We present a generic probabilistic method for localizing an autonomous vehicle equipped …

… A large volume of literature is produced—covering various fields. This paper aims to map out
… AV research, especially the socioeconomic dimension that is yet to flourish on a wide scale. …

… unacceptable for the operation of autonomous vehicles. … method that assists an autonomous
vehicle in finding accurate … Robust hierarchical localization at large scale. In Proceedings of …

… large-scale point cloud maps bear several problems that complicate real-time deployment
on autonomous vehicles … and update the map may limit the agility of the vehicle. Moreover, …

… autonomous driving. The aim of this study was to design a map suitable for the control of
autonomous vehicles in … “Building a Testbed for Pilot Operations of Autonomous Vehicles”. The …

… SLAM helps autonomous vehicles to simultaneously build a map and localize itself within the
map. … This chapter briefly discusses various sensors and maps deployed in VSLAM. It also …

… However, the current optimization method has the limitation that it cannot consider all
types of mapping constraints. Therefore, in this study, the software component mapping is …

… 2) Coarse-to-fine Optimization Strategy: In order to cope with large displacements
between consecutive frames, we adopt a multi-scale strategy running the optimization in an l-levels …