Simultaneous Localization and Mapping (SLAM) for Autonomous Driving: Concept and Analysis
Author:
Affiliation:
1. School of Civil and Environmental Engineering, UNSW Sydney, Sydney 2052, Australia
2. School of Earth and Planetary Sciences, Curtin University, Perth 6845, Australia
Abstract
Funder
Australian Research Council
Publisher
MDPI AG
Subject
General Earth and Planetary Sciences
Link
https://www.mdpi.com/2072-4292/15/4/1156/pdf
Reference259 articles.
1. Litman, T. (2015, January 11–15). Autonomous Vehicle Implementation Predictions: Implications for Transport Planning. Proceedings of the 2015 Transportation Research Board Annual Meeting, Washington, DC, USA.
2. Real-time motion planning methods for autonomous on-road driving: State-of-the-art and future research directions;Katrakazas;Transp. Res. C-EMER,2015
3. Autonomous driving in the iCity- HD maps as a key challenge of the automotive industry;Seif;Engineering,2016
4. Localization for autonomous vehicle on urban roads;Suganuma;J. Adv. Control Autom. Robot.,2015
5. Visual simultaneous localization and mapping: A survey;Aritf. Intell. Rev.,2015
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