Autonomous car requires localisation and mapping capabilities to model the surrounding
environment and to plan a safe and efficient route for the autonomous driving …

In the recent years, improvements in vehicular technology has been significant. Even after
this improvement, right now it is only a fraction of what is being expected in the future …

Autonomous vehicles integrate complex software stacks for realizing the necessary iterative
perception, planning, and action operations. One of the foundational layers of such stacks is …

Autonomous driving in public roads requires precise localization within the range of few
centimeters. Even the best current precise localization system based on the Global …

We propose a light-weight yet accurate localization system for autonomous cars that operate
in large-scale and complex urban environments. It provides appropriate localization …

In the urban environment or under complex traffic situation, conventional localization
methods like GPS, dead reckoning or SLAM are not precise enough for autonomous driving …

In the context of autonomous vehicles on highways, one of the first and most important tasks
is to localize the vehicle on the road. For this purpose, the vehicle needs to be able to take …

Real-time, accurate, and robust localisation is critical for autonomous vehicles (AVs) to
achieve safe, efficient driving, whilst real-time performance is essential for AVs to achieve …

For an autonomous vehicle to operate safely and effectively, an accurate and robust
localization system is essential. While there are a variety of vehicle localization techniques …

Research on autonomous vehicles has made significant advances in recent years. To
operate an autonomous vehicle safely and effectively, precise localization is essential. This …