We propose a localization method using three different types of features in urban environments. The features we choose are poles, corners and walls.
Experiments conducted on two test roads show that the proposed method can provide accurate and reliable localization results in urban environments. I.
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Accurate Localization of Autonomous Vehicles Based on Pattern Matching and Graph-Based Optimization in Urban Environments. In: IEEE 23rd International ...
This research focuses on the use of pole-like structures as essential landmarks for accurate localization of autonomous vehicles in urban and suburban areas.
Evaluating Localization Accuracy of Automated Driving Systems - PMC
www.ncbi.nlm.nih.gov › PMC8433815
Aug 30, 2021 · Automated driving systems are in need of accurate localization, i.e., achieving accuracies below 0.1 m at confidence levels above 95%.
We validate the effectiveness of our approach by using these algorithms to localize our vehicle against probabilistic maps in various dynamic environments, ...
This review covers the visual SLAM technologies. In particular, we firstly illustrated the typical structure of visual SLAM.
Accurate and reliable localization is an important requirement for autonomous driving. This paper investigates an asymmetric model for global mapping and ...
Jun 6, 2024 · We propose a novel lightweight visual semantic localization algorithm that employs stable semantic features instead of low-level texture features.
May 27, 2024 · Using high-definition maps for precise urban vehicle localization. ... based low-cost vehicle localization system for complex urban environments.