End-to-End driving is a promising paradigm as it circumvents the drawbacks associated with
modular systems, such as their overwhelming complexity and propensity for error …

Abstract Maritime Autonomous Surface Ships (MASS) have obtained much attention in
recent years. Navigation with human–machine cooperation is the core for L1–L3 MASS. In …

Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace
due to the convenience, safety, and economic benefits. Although a number of surveys have …

The process of verification and validation of automated vehicles poses a multi-faceted
challenge with far-reaching societal, economical and ethical consequences. In particular …

Combining multiple LiDARs enables a robot to maximize its perceptual awareness of
environments and obtain sufficient measurements, which is promising for simultaneous …

Image retrieval-based cross-view localization methods often lead to very coarse camera
pose estimation, due to the limited sampling density of the database satellite images. In this …

Automated Driving Systems (ADS) have made great achievements in recent years thanks to
the efforts from both academia and industry. A typical ADS is composed of multiple modules …

Accurate positioning in urban canyons remains a challenging problem. To facilitate the
research and development of reliable and precise positioning methods using multiple …

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 …

With the increasing advancements in autonomous vehicle (AV) technologies, the forecasts
of AV market shares seem to follow an ever-growing trend. This leads to the inherent need …