Accurate localization is a foundational capacity, required for autonomous vehicles to
accomplish other tasks such as navigation or path planning. It is a common practice for …

Accurate localization is of crucial importance for autonomous driving tasks. Nowadays, we
have seen a lot of sensor-rich vehicles (eg Robo-taxi) driving on the street autonomously …

We present a visual localization framework based on novel deep attention aware features
for autonomous driving that achieves centimeter level localization accuracy. Conventional …

Accurate vehicle localization is a crucial step towards building effective Vehicle-to-Vehicle
networks and automotive applications. Yet standard grade GPS data, such as that provided …

Accurate localization ability is fundamental in autonomous driving. Traditional visual
localization frameworks approach the semantic map-matching problem with geometric …

Changes in appearance is one of the main sources of failure in visual localization systems in
outdoor environments. To address this challenge, we present VIZARD, a visual localization …

Robust and accurate localization is an essential component for robotic navigation and
autonomous driving. The use of cameras for localization with high definition map (HD Map) …

Electric vhicles and autonomous driving dominate current research efforts in the automotive
sector. The two topics go hand in hand in terms of enabling safer and more environmentally …

Over the last few years, we have witnessed tremendous progress on many subtasks of
autonomous driving including perception, motion forecasting, and motion planning …

Mapping and localization, preferably from a small number of observations, are fundamental
tasks in robotics. We address these tasks by combining spatial structure (differentiable …