Easy, yet robust long-term localization is still an open topic in research. Existing approaches
require either dense maps, expensive sensors, specialized map features or proprietary …

Visual localization plays a critical role in robotics. The scene coordinate regression-based
localization methods have achieved state-of-the-art performance. However, current methods …

Highly accurate localization with very limited amount of memory and computational power is
one of the big challenges for next generation series cars. We propose localization based on …

As a promising fashion for visual localization, scene coordinate regression (SCR) has seen
tremendous progress in the past decade. Most recent methods usually adopt neural …

This paper proposes a novel method for vision-based metric cross-view geolocalization
(CVGL) that matches the camera images captured from a ground-based vehicle with an …

We present a systematic approach called Extended VINS-Mono to utilize VINS-Mono, a state-
of-the-art monocular visual-inertial relative localization method, targeting practical vehicle …

We present a robust and precise localization system that achieves centimeter-level
localization accuracy in disparate city scenes. Our system adaptively uses information from …

An accurate and robust localization system is crucial for autonomous vehicles (AVs) to
enable safe driving in urban scenes. While existing global navigation satellite system …

Visual localization enables autonomous vehicles to navigate in their surroundings and
augmented reality applications to link virtual to real worlds. Practical visual localization …

Vision-based map-matching with HD map for high precision vehicle localization has gained
great attention for its low-cost and ease of deployment. However, its localization …