• English
    • Deutsch
View Item 
  •   OPARU Home
  • Fakultät für Ingenieurwissenschaften, Informatik und Psychologie
  • Publikationen
  • View Item
  •   OPARU Home
  • Fakultät für Ingenieurwissenschaften, Informatik und Psychologie
  • Publikationen
  • View Item
  • English 
    • English
    • Deutsch
  • Login
JavaScript is disabled for your browser. Some features of this site may not work without it.

Feature-level fusion of laser scanner and video data for advanced driver assistance systems

Thumbnail
Download
vts_5958_7991.pdf (5.412Mb)
247 Seiten
 
Veröffentlichung
2007-07-10
DOI
10.18725/OPARU-382
Dissertation


Authors
Kämpchen, Nico
Faculties
Fakultät für Ingenieurwissenschaften und Informatik
Ulm serial
Schriftenreihe des Instituts für Mess-, Regel- und Mikrotechnik
License
Standard (Fassung vom 03.05.2003)
https://oparu.uni-ulm.de/xmlui/license_v1
Abstract
Advanced driver assistance systems aim at an improved traffic safety, enhanced comfort and driving pleasure. Sensors perceive the objects surrounding the vehicle and produce an environment description. The assistance systems support the driver by assessing the situation recognized by this vehicle environment description. Current research in the area of advanced driver assistance systems aims at increased functionality. Comfort systems, such as the ACC, are expected to support the driver not only in normal driving phases, but also in more complex situations such as traffic jams. Safety systems will trigger collision avoidance or mitigation measures in a number of potential crash configurations and not only in well defined rear end collision situations. These future advanced applications impose strong requirements on the sensors and demand novel and complex signal processing algorithms for vehicle detection, tracking and situation assessment. The present work addresses challenging traffic scenarios. Novel sensor signal processing, sensor data fusion and tracking algorithms were developed which provide precise and consistent motion estimates for complex intersection scenarios, lane change maneuvers of vehicles, trucks on neighbouring lanes and highly dynamic situations. A novel emergency brake application offers a general solution to the situation assessment and aims in particular at so far unresolved intersection scenarios.
Date created
2007
Subject Headings
Datenfusion [GND]
Laserscanner [GND]
Driver assistance systems [LCSH]
Multisensor data fusion [LCSH]
Keywords
Automatische Notbremse; Collision mitigation; Emergency brake; Fahrerassistenz; Fahrumfelderkennung; Laser scanner; Vehicle environment perception
Dewey Decimal Group
DDC 620 / Engineering & allied operations

Metadata
Show full item record

Citation example

Kämpchen, Nico (2007): Feature-level fusion of laser scanner and video data for advanced driver assistance systems. Open Access Repositorium der Universität Ulm. Dissertation. http://dx.doi.org/10.18725/OPARU-382

Other citation formats



About OPARU | Contact Us
Impressum | Privacy statement
 

 

Advanced Search

Browse

All of OPARUCommunities & CollectionsFacultiesInstitutionsPersonsResource typesUlm SerialsDewey Decimal ClassesFundingThis CollectionFacultiesInstitutionsPersonsResource typesUlm SerialsDewey Decimal ClassesFunding

My Account

LoginRegister

Statistics

View Usage Statistics

About OPARU | Contact Us
Impressum | Privacy statement