Autonomous parking in an indoor parking lot without human intervention is one of the most
demanded and challenging tasks of autonomous driving systems. The key to this task is …

We address the problem of vehicle selflocalization from multi-modal sensor information and
a reference map. The map is generated off-line by extracting landmarks from the vehicle's …

Location awareness is a fundamental need for intelligent systems, such as self-driving
vehicles, delivery drones, and mobile devices. Given their on-board sensors (eg camera …

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 …

Image-based localization provides an alternative solution for camera pose estimation, which
is a crucial component for self-driving vehicles. Localization for vehicles requires continuous …

Localization and mapping are key capabilities for self-driving vehicles. In this paper, we
build on Kimera and extend it to use multiple cameras as well as external (eg wheel) …

Vision-based localization is a temporal informative task in which we can obtain information
about the ego-motion of a vehicle from the historical information via examining consecutive …

In recent years, research and development aimed at the societal implementation of
autonomous driving have attracted increasing attention. Localization, which involves …

Localization systems solve the problem of identifying the location of the agent or
surrounding objects with the information gathered from various sensors. It enables a wide …

Precise localization is essential but also challenging for autonomous vehicles. In this article,
A novel visual localization method is proposed. Specifically, a semantic local map …