Project ARES: Driverless Transportation System. Challenges and Approaches in an Unstructured Road

Author:

Marin-Plaza PabloORCID,Yagüe DavidORCID,Royo FranciscoORCID,de Miguel Miguel ÁngelORCID,Moreno Francisco MiguelORCID,Ruiz-de-la-Cuadra Alejandro,Viadero-Monasterio FernandoORCID,Garcia JavierORCID,San Roman José LuisORCID,Armingol José MaríaORCID

Abstract

The expansion of electric vehicles in urban areas has paved the way toward the era of autonomous vehicles, improving the performance in smart cities and upgrading related driving problems. This field of research opens immediate applications in the tourism areas, airports or business centres by greatly improving transport efficiency and reducing repetitive human tasks. This project shows the problems derived from autonomous driving such as vehicle localization, low coverage of 4G/5G and GPS, detection of the road and navigable zones including intersections, detection of static and dynamic obstacles, longitudinal and lateral control and cybersecurity aspects. The approaches proposed in this article are sufficient to solve the operational design of the problems related to autonomous vehicle application in the special locations such as rough environment, high slopes and unstructured terrain without traffic rules.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The Emerging Cybersecurity Challenges With Artificial Intelligence;Advances in Medical Technologies and Clinical Practice;2024-02-27

2. FBS_YOLO3 vehicle detection algorithm based on viewpoint information;International Conference on Algorithm, Imaging Processing, and Machine Vision (AIPMV 2023);2024-01-09

3. Navigating the Future: AI Innovations for Intelligent Mobility in Smart Cities;SAE Technical Paper Series;2023-12-29

4. Exploring the Evolution of Autonomous Vehicle Acceptance through Hands-On Demonstrations;Applied Sciences;2023-11-29

5. Global Models of Smart Cities and Potential IoT Applications: A Review;IoT;2023-08-31

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3