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 …

3D LiDAR maps are playing a more and more important role in intelligent vehicle
localization. In this paper, the proposed SeqPolar localization method consists of two parts …

An accurate and up-to-date High Definition (HD) Map is critical for an intelligent vehicle to
drive safely and effectively. Although research in this area is growing, there is still a lack of …

Accurate and reliable ego-localization is critical for autonomous driving. In this paper, we
present EgoVM, an end-to-end localization network that achieves comparable localization …

Localization is a crucial prerequisite for automated valet parking, in which a vehicle is
required to navigate itself in a GPS-denied parking lot. Traditional visual localization …

High-precision and robust localization in GNSS-denied areas is crucial for autonomous
vehicles and robots. Most state-of-the-art localization methods are based on simultaneous …

High-definition (HD) maps have recently gained critical importance in automated driving
applications due to their ability to contain a high density of information, far exceeding …

Many autonomous driving applications nowadays come along with a prebuilt vector map for
routing and planning purposes. In order to localize on this map, traditional LiDAR …

High-definition (HD) maps are becoming increasingly important for autonomous vehicles
and advanced driver assistance systems (ADAS), as they provide detailed and accurate …

Localizing a vehicle on a prebuilt HD vector map is a prerequisite for many autonomous
driving applications. Existing visual localization approaches usually require a separate local …