Parking Spot Estimation and Mapping Method for Mobile Robots

Self-driving vehicles rely on detailed semantic maps of the environment for operating. In this letter, we propose a method to autonomously generate such a semantic map enriched with knowledge of parking spot locations. Our method detects and uses parked vehicles in the surroundings to estimate parki...

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Veröffentlicht in:	IEEE robotics and automation letters Jg. 3; H. 4; S. 3371 - 3378
Hauptverfasser:	Westfechtel, Thomas, Ohno, Kazunori, Mizuno, Naoki, Hamada, Ryunosuke, Kojima, Shotaro, Tadokoro, Satoshi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.10.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	AI-based methods Algorithms Autonomous cars big data in robotics and automation intelligent transportation systems Laser radar Mapping Mobile robots Parking facilities semantic scene. understanding Semantics Sensors Suburban environments Task analysis Three-dimensional displays Topology
ISSN:	2377-3766, 2377-3766
Online-Zugang:	Volltext
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