@article{ref1,
title="Design and implementation of HD mapping, vehicle control, and V2I communication for robo-taxi services",
journal="Sensors (Basel)",
year="2022",
author="Yoon, Jun Yong and Jeong, Jinseop and Sung, Woosuk",
volume="22",
number="18",
pages="e7049-e7049",
abstract="This paper presents our autonomous driving (AD) software stack, developed to complete the main mission of the contest we entered. The main mission can be simply described as a robo-taxi service on public roads, to transport passengers to their destination autonomously. Among the key competencies required for the main mission, this paper focused on high-definition mapping, vehicle control, and vehicle-to-infrastructure (V2I) communication. V2I communication refers to the task of wireless data exchange between a roadside unit and vehicles. With the data being captured and shared, rich, timely, and non-line-of-sight-aware traffic information can be utilized for a wide range of AD applications. In the contest, V2I communication was applied for a robo-taxi service, and also for traffic light recognition. A V2I communication-enabled traffic light recognizer was developed, to achieve a nearly perfect recognition rate, and a robo-taxi service handler was developed, to perform the main mission of the contest.<p /> <p>Language: en</p>",
language="en",
issn="1424-8220",
doi="10.3390/s22187049",
url="http://dx.doi.org/10.3390/s22187049"
}