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An intelligent parking platform of neighborhood EV for autonomous mobility service

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Abstract

This paper introduces an Intelligent Parking platform for a neighborhood electric vehicle in intelligent multimedia service environment that automatically maneuvering from a traffic lane to the designated spot guided by roadside servers and mobile device. Three challenging problems are considered: one is to consider both low-speed forward driving and several parking maneuvers at the same time with a few in-vehicle sensors and the second one is to control the various sizes and types of passengers vehicles. And the last one is localization and tracking based on video sequences. With the assumptions of low speed and well installed roadside sensors, the platform to deal with two types of parking missions is proposed in this paper. We conduct a feasibility test for verification of our proposed architecture, and we suggest a possible approach to car-sharing service that autonomous mobility vehicle can drive and valet-charge within the limited area in intelligent multimedia service environment.

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Acknowledgments

This work was supported by the Industrial Strategic Technology Development Program(10035250, Development of Spatial Awareness and Autonomous Driving Technology for Automatic Valet Parking) funded by the Ministry of Science ICT and Future Planning (MSIP, Korea).

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Authors and Affiliations

  1. Department of Car/infra fusion Research Team, Car/Ship IT Convergence Technology Department, Electronics Telecommunications Research Institute 161, Kajeong-dong, Yuseong-gu, Daejon, South Korea

    JeongDan Choi & Kyoung Wook Min

  2. Division of Computer Engineering, Mokwon University, Korea, 800 Doan-dong, Seo-gu, Daejeon, 302-729, Republic of Korea

    Yang Sun Lee

Authors
  1. JeongDan Choi
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  2. Kyoung Wook Min
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  3. Yang Sun Lee
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Correspondence to Yang Sun Lee.

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Choi, J., Min, K.W. & Lee, Y.S. An intelligent parking platform of neighborhood EV for autonomous mobility service. Multimed Tools Appl 74, 3277–3288 (2015). https://doi.org/10.1007/s11042-014-1862-0

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  • DOI: https://doi.org/10.1007/s11042-014-1862-0

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