Abstract
Due to the evolution of technologies for sensor and wireless communication, there has been increasing attention to research on an intelligent vehicle that supports safe driving by exploiting large traffic data gathered from traffic environments such as vehicles and road side units, as well as data gathered from sensors mounted on the vehicle. In this paper, we study an in-vehicle sensor database management system (DBMS). In the proposed approach, simply called in-vehicle DBMS approach, DBMS inside the ego-vehicle manages, gathers, and processes traffic and sensor data onboard such as signal data and multimedia data including map and image data. We classify the requirements of applications using the in-vehicle DBMS into data modeling and query processing. We also propose a system architecture for an in-vehicle DBMS which solves those issues and discuss database techniques offered by the system.



Similar content being viewed by others
References
Arvind A, Brian B, Shivnath B et al (2003) Stream: the Stanford stream data manager. IEEE Data Eng Bull 26(1):19–26
Buddha S, Daya KL (2012) A novel energy-aware cluster head selection based on particle swarm optimization for wireless sensor networks. Human-centric Comput Inform Sci 2(13):1–18
Chris U, Joshua A, Drew B et al (2008) Autonomous driving in urban environments: boss and the urban challenge. J Field Robot 25(8):425–466
Chris U, William RW (2008) Self-driving cars and the urban challenge. IEEE Intell Syst 23(2):66–68
Christian B, Yunja C, Hans GG (2011) Evaluation of an abstract component model for embedded systems development. J Inform Process Syst 8(4):539–554
Christian Z, Sheung YY, Christine LB et al (2008) Safespot local dynamic maps—context-dependent view generation of a platform’s state & environment. In: Proc. of the 15th World Congress on Intelligent Transport Systems and ITS America’s 2008 Annual Meeting, pp 1–12
Daniele F, Alberto MS, Umberto N (2000) Fully dynamic algorithms for maintaining shortest paths trees. J Algorithms 34(2):251–281
Daniel J, Luca D (2008) Ieee 802.11p: towards an international standard for wireless access in vehicular environments. In: Proc. of IEEE 67th Vehicular Technology Conference, pp 2036–2040
Fan-Hsun T, Li-Der C, Han-Chieh C (2011) A survey of black hole attacks in wireless mobile ad hoc networks. Human-centric Comput Inform Sci 1(4):1–16
Hierarchical Queries, http://docs.oracle.com/cd/B1930601/server.102/b14200/queries003.htm
Hua F, JeongWoo K, JongWhan J (2011) A fast snake algorithm for tracking multiple objects. J Inform Process Syst 7(3):519–530
Ilaria B, Paolo C, Marco P (2005) Warp: accurate retrieval of shapes using phase of fourier descriptors and time warping distance. IEEE Trans Pattern Anal Mach Intell 27(1):142–147
Jinan P, Mike M (2008) Potential applications of road-vehicle communication for improving safety and mobility. In: Proc. of Road Transport Informatio and Control, pp 1–6
Joseph KN (2012) Ubiquitous healthcare: healthcare systems and applications enabled by mobile and wireless technologies. J Converg 3(2):15–20
Masahiro H, Elis K, Tetsuya O et al (2011) Application of a MANET testbed for horizontal and vertical scenarios: performance evaluation using delay and jitter metrics. Human-centric Comput Inform Sci 1(3):1–14
Maxim L, David F, Geoffrey G et al (2005) Anytime dynamic A*:an anytime, replanning algorithm. In: Proc. of the Int’l Conf. on Automated Planning and Scheduling, pp 262–271
Michael D, Paul R, Christopher U (2008) An adaptive model switching approach for a multisensor tracking system used for autonomous driving in an urban environment. In: AUTOREG 2008, Steuerung und Regelung von Fahrzeugen und Motoren: 4. Fachtagung, pp 521–530
Mohamed FM, Chi-Yin C, Walid GA (2007) The new Casper: a privacy-aware location-based database server. In: Proc. of the 23rd Int’l Conf. on Data Engineering, pp 1499–1500
Navendu J, Lisa A, Henrique A et al (2006) Design, implementation, and evaluation of the linear road benchmark on the stream processing core. In: Proc. of the 2006 ACM SIGMOD Int’l Conf. on Management of Data, pp 431–442
Nesime T, Uğur C, Stan Z et al (2003) Load shedding in a data stream manager. In: Proc. of the 29th Int’l Conf. on Very Large Data Bases, pp 309–320
Nico K, Kristian W, Michael S et al (2004) Imm object tracking for high dynamic driving maneuvers. In: Proc. of IEEE Intelligent Vehicles Symposium, pp 825–830
Oracle Spatial, http://www.oracle.com/kr/products/database/options/spatial/index.html
Paolo N, Kai-Yeung S, Hong-Yi T (2001) New dynamic SPT algorithm based on a ball-and-string model. IEEE ACM Trans Networks 9(6):706–718
PReVENT Project, http://www.prevent-ip.org
Rachel MC, Toshihisa T (2010) Motion blur identification using maxima locations for blind colour image restoration. J Converg 1(1):49–56
Samuel M, Michael JF, Joseph MH, Wei H (2005) Tinydb: an acqusitional query processing system for sensor networks. ACM Trans Database Syst 30(1):122–173
Self-driving Car on Road out of Science Fiction, http://www.washingtontimes.com/news/2011/mar/8/self-drivingcar-on-road-out-of-science-fiction/?page=all
Swarup A, Rafael A, Michael F, Stanley Z (1995) Broadcast disks: data management for asymmetric communication environments. In: Proc. of the 1995 ACM SIGMOD Int’l Conf. on Management of Data, pp 199–210
Wook-Sun S, Doo-Heon S, Chang-Hun L (2006) Vehicle classification by road lane detection and model fitting using a surveillance camera. J Inform Process Syst 2(1):52–57
Xu Y, Will R (2008) Evaluation of information applications of a self-organizing distributed traffic information system for a large-scale real-world traffic network. Comput Aided Civ Infrastruct Eng 23(8):575–595
Yanghoo K, Hangbae C (2012) IT convergence index and measurement, design in the manufacturing industry. J Converg 3(3):47–50
Acknowledgments
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (NRF-2011-0016520) and MKE/ISTK [Mega Convergence Core Technology Development].
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Lee, JH., Han, WS., An, K.H. et al. Towards intelligent in-vehicle sensor database management systems. Multimed Tools Appl 74, 3599–3615 (2015). https://doi.org/10.1007/s11042-013-1672-9
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11042-013-1672-9