research-article

High-Definition Digital Elevation Model System Vision Paper

Authors:

Goce TrajcevskiAuthors Info & Claims

SSDBM '17: Proceedings of the 29th International Conference on Scientific and Statistical Database Management

Article No.: 29, Pages 1 - 6

https://doi.org/10.1145/3085504.3085533

Published: 27 June 2017 Publication History

Abstract

Digital Elevation Modeling (DEM) has been a widely used methodology in plethora of application domains, ranging from climate and geological studies, through temporal evolution of various migration patterns, to Geographic Information Systems (GIS) broadly. However, the existing DEM methodologies and systems cannot quite straightforwardly be extended to catch up with the demands due to recent developments in autonomous driving, vehicle localization, drone and dynamically evolving high-definition smart city modeling. The new challenges are the demand of higher precision, sparse(r) elevation data compression, real-time efficient retrieval and intra-sources data integration. Motivated by this, we take a first step towards developing a tile based, multi-layer high precision DEM system, which aims at seamlessly integrating (and aligning) DEM from different sources, and enables context-driven variations in zoom levels. In addition, to further improve the efficiency of the focused-retrieval of the data necessary to construct the DEM with the desired quality assurance, our vision targets the collaborative compression among heterogeneous data sources.

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Cited By

Haris MHou J(2020)Obstacle Detection and Safely Navigate the Autonomous Vehicle from Unexpected Obstacles on the Driving LaneSensors10.3390/s2017471920:17(4719)Online publication date: 21-Aug-2020
https://doi.org/10.3390/s20174719
Zang AChen XTrajcevski G(2018)High definition maps in urban contextSIGSPATIAL Special10.1145/3231541.323154610:1(15-20)Online publication date: 5-Jun-2018
https://dl.acm.org/doi/10.1145/3231541.3231546
Zang ALi ZDoria DTrajcevski GGao SHe G(2017)Accurate vehicle self-localization in high definition map datasetProceedings of the 1st ACM SIGSPATIAL Workshop on High-Precision Maps and Intelligent Applications for Autonomous Vehicles10.1145/3149092.3149094(1-8)Online publication date: 7-Nov-2017
https://dl.acm.org/doi/10.1145/3149092.3149094
Show More Cited By

High-Definition Digital Elevation Model System Vision Paper

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cover image ACM Other conferences

SSDBM '17: Proceedings of the 29th International Conference on Scientific and Statistical Database Management

June 2017

373 pages

ISBN:9781450352826

DOI:10.1145/3085504

General Chair:
Alok Choudhary,
Program Chair:
Kesheng Wu,
Publications Chair:
Bin Dong

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Northwestern University: Northwestern University

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 June 2017

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ONR grant
NSF grants III
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SSDBM '17

SSDBM '17: 29th International Conference on Scientific and Statistical Database Management

June 27 - 29, 2017

IL, Chicago, USA

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Cited By

Haris MHou J(2020)Obstacle Detection and Safely Navigate the Autonomous Vehicle from Unexpected Obstacles on the Driving LaneSensors10.3390/s2017471920:17(4719)Online publication date: 21-Aug-2020
https://doi.org/10.3390/s20174719
Zang AChen XTrajcevski G(2018)High definition maps in urban contextSIGSPATIAL Special10.1145/3231541.323154610:1(15-20)Online publication date: 5-Jun-2018
https://dl.acm.org/doi/10.1145/3231541.3231546
Zang ALi ZDoria DTrajcevski GGao SHe G(2017)Accurate vehicle self-localization in high definition map datasetProceedings of the 1st ACM SIGSPATIAL Workshop on High-Precision Maps and Intelligent Applications for Autonomous Vehicles10.1145/3149092.3149094(1-8)Online publication date: 7-Nov-2017
https://dl.acm.org/doi/10.1145/3149092.3149094
Zang AXu RLi ZDoria DGao SHe G(2017)Lane boundary extraction from satellite imageryProceedings of the 1st ACM SIGSPATIAL Workshop on High-Precision Maps and Intelligent Applications for Autonomous Vehicles10.1145/3149092.3149093(1-8)Online publication date: 7-Nov-2017
https://dl.acm.org/doi/10.1145/3149092.3149093

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