Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Capabilities of Humans for Vehicle Guidance Read chapter Read first chapter

2016 | OriginalPaper | Chapter

23. Data Fusion of Environment-Perception Sensors for ADAS

Author : Michael Darms

Published in: Handbook of Driver Assistance Systems

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

More and more driver assistance systems are based on a fusion of multiple environment perception sensors. This chapter gives an overview about the objectives of sensor data fusion approaches, explains the main components involved in the perception process, and explains the special topics that need to be taken into consideration in developing a multi-sensor fusion system for driver assistance systems. Focus is put on the topics of data association, tracking, classification, and the underlying architecture. The architecture strongly influences the costs, performance, and the development process of a multi-sensor fusion system. As there are no deterministic methods that guarantee an optimal solution for developing an architecture, the chapter gives an overview of established, general architecture patterns in the field of sensor data fusion and discusses their benefits and drawbacks.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now
previous chapter Camera Based Pedestrian Detection
next chapter Representation of Fused Environment Data
Literature
Bar-Shalom Y (2002) Update with out-of-sequence measurements in tracking: exact solution. IEEE Trans Aerosp Electron Syst 3:769–777CrossRef
Bar-Shalom Y, Li XR (1995) Multitarget-multisensor tracking – principles and techniques. YBS, Storrs
Bar-Shalom Y, Li XR, Kirubarajan T (2001) Estimation with applications to tracking and navigation – theory, algorithms and software. Wiley, New YorkCrossRef
Becker JC (2002) Fusion der Daten der objekterkennenden Sensoren eines autonomen Straßenfahrzeugs (Fusion of data from object detecting sensors in an autonomous road vehicle). VDI-Verl, Düsseldorf
Bender E et al (2007) Anti collision system proreta – on the way to the collision avoiding vehicle – part 1: basics of the system. ATZ Wordwide 109(4):20–23
Darms M (2007) Eine Basis-Systemarchitektur zur Sensordatenfusion von Umfeldsensoren für Fahrerassistenzsysteme (A baseline system architecture for sensor data fusion of environment sensors for driver assistance systems) Fortschrittberichte VDI, Series 12, vol 653
Darms M, Rybski P, Urmson C (2008) Vehicle detection and tracking for the urban challenge, AAET 2008, 9th symposium, 13/14 Feb 2008, Braunschweig
Darms M, Rybski P, Baker C, Urmson C (2009) Obstacle detection and tracking for the urban challenge. IEEE Trans Intell Transp Syst 10(3):475–485CrossRef
Dietmayer K, Kirchner A, Kampchen N (2005) Fusionsarchitekturen zur Umfeldwahrnehmung für zukünftige Fahrerassistenzsysteme (Fusion architectures for environmental perception in future driver assistance systems). In: Mauerer M (ed) Fahrerassistenzsysteme mit maschineller Wahrnehmung (Driver assistance systems with mechanical perception). Springer, New York, pp 59–87CrossRef
Föllinger O (1990) Regelungstechnik – Einführung in die Methoden und ihre Anwendung (Control theory – introduction to methods and their application), 6th issue. Hüthig Buch Verlag, Heidelberg
Hall DL (2001) Handbook of multisensor data fusion. CRC Press, Boca Raton
Hall D, Llinas J (1997) An introduction to multisensor data fusion. Proc IEEE 85(1):6–23CrossRef
Hall DL, McMullen SA (2004) Mathematical techniques in multisensor data fusion, 2nd edn. Artech House, BostonMATH
Hänsler E (1997) Statistische Signale: Grundlagen und Anwendungen (Statistical signals: basics and applications), 2nd issue. Springer, Berlin
Joerg KW (1994) Echtzeitfähige Multisensorintegration für autonome Mobile Roboter (Real-time capable multi-sensor integration for autonomous mobile robots). BI-Wiss.-Verl., Mannheim
Kampchen N, Dietmayer K (2003) Data synchronization strategies for multi-sensor fusion. In: 10th world congress on intelligent transport systems. Band Proceedings of IST 2003. Madrid
Klein LA (1999) Sensor and data fusion concepts and applications, 2nd issue, vol 35. SPIE, Bellingham
Lou RC, Kay MK (1991) Multisensor integration and fusion in intelligent systems. In: Autonomous mobile robots, Bd. 1. IEEE Computer Society Press, Los Alamitos
Lunze J (2006) Regelungstechnik Mehrgrößensysteme, digitale Regelung (Control theory on multiple value systems, digital control), vol 2. Springer, Berlin
Mauthener M et al (2006) Out-of-sequence measurements treatment in sensor fusion applications: buffering versus advances algorithms. In: Stiller C, Maurer M (Hrsg) 4. Workshop Fahrerassistenzsysteme FAS2006 (Driver assistance systems workshop), pp 20–30. fmrt, Karlsruhe
Mayr R (2001) Regelungsstrategien fur die automatische Fahrzeugführung: Längs- und Querregelung, Spurwechselund Überholmanöver (Control strategies for automatic vehicle guidance: longitudinal and latitudinal control, lane changing and overtaking manoeuvres). Springer, Tokyo
Narbe B et al (2003a) Datennetzkonzepte für die Sensordatenfusion – Teil 1 (Data network concepts for sensor data fusion – part 1). Elektronik Automotive 4:54–59
Narbe B et al (2003b) Datennetzkonzepte für die Sensordatenfusion – Teil 2 (Data network concepts for sensor data fusion – part 2). Elektronik Automotive 5:40–44
Robinson G, Aboutalib A (1990) Trade-off analysis of multisensor fusion levels. In: Proceedings of the 2nd national symposium on sensors and sensor fusion, No 2, Chicago, IL, pp 21–34
Schopper M, Henle L, Wohland T (2013) Intelligent Drive Vernetzte Intelligenz für mehr Sicherheit (Intelligent Drive – networked intelligence for improved safety). ATZExtra 5:106–114CrossRef
Starke G (2005) Effektive Software-Architekturen – Ein praktischer Leitfaden (Effective software architectures – a practical guide), 2nd issue Hanser, Wien
Steinberg A, Bowman C, White F (1998) Revisions to the JDL data fusion model. Quebec City
Streller D (2006) Multi-Hypothesen-Ansatz zur Erkennung und Verfolgung von Objekten in Verkehrsszenen mit Laserscannern (Multi-hypotheses approach for detection and tracking of objects in traffic scenarios with laser scanners). VDI-Verl, Düsseldorf
Stüker D (2004) Heterogene Sensordatenfusion zur robusten Objektverfolgung im automobilen Straßenverkehr. (Heterogenous sensor data fusion for robust object tracking in automotive road traffic), Diss. Univ. Oldenburg, (online publication), URL: urn:nbn:de:gbv:715-oops-2319; http://​oops.​uni-oldenburg.​de/​201/​1/​stuhet04.​pdf. Accessed 31 Jan 2015
Vogel O (2005) Software-Architektur – Grundlagen – Konzepte – Praxis (Software architecture – basics – concepts – practical applications), 1st issue Elsevier, Spektrum, Akad. Verl., Munich
Metadata
Title
Data Fusion of Environment-Perception Sensors for ADAS
Author
Michael Darms
Copyright Year
2016
Publisher
Springer International Publishing
Book
Handbook of Driver Assistance Systems

Print ISBN: 978-3-319-12351-6

Electronic ISBN: 978-3-319-12352-3

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-12352-3_24

Premium Partner

    Image Credits