High definition map update for autonomous and connected vehicles: A survey
| Author | Boubakri, Anis |
| Author | Gammar, Sonia METTALI |
| Author | Brahim, Mohamed BEN |
| Author | Filali, Fethi |
| Available date | 2024-10-20T10:43:19Z |
| Publication Date | 2022 |
| Publication Name | 2022 International Wireless Communications and Mobile Computing, IWCMC 2022 |
| Resource | Scopus |
| Abstract | As making the right decision is a key element in autonomous driving systems, perfect knowledge of the traffic environment is necessary in order to avoid dangerous situations. Autonomous vehicles rely on a set of sensors to discover their local environment. However, these sensors are limited by range and weather conditions. Hence, they could not help for all conditions and roadway scenarios. Therefore, a new accurate and realistic technology for localization is needed. Recently, HD maps has emerged as a technology that increases the environment awareness of autonomous vehicles. Nevertheless, data of HD maps is highly dynamic and need to be always up-to-date. In this paper, we will review the used techniques for updating HD maps. |
| Language | en |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Subject | Digital television Intelligent systems Intelligent vehicle highway systems Autonomous driving Autonomous Vehicles Condition Dangerous situations Driving systems High definition Key elements Local environments Localisation Traffic environment Autonomous vehicles |
| Type | Conference |
| Pagination | 1148-1153 |
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QMIC Research [219 items ]