A random finite set approach to multiple lane detection
- 1 September 2012
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
Robust lane detection is the precondition for advanced driver assistance systems like lane departure warning and overtaking assistants. While detecting the vehicle's lane is sufficient for lane departure warning, overtaking assistants or autonomous driving functions also need to detect adjacent lanes. In this contribution, a novel approach to multiple lane detection based on multi-object Bayes filtering is presented. This method allows for directly considering the dependencies between multiple lanes without explicit data association in post processing. Furthermore, the proposed lane detection algorithm is applied to a challenging scenario of a rural road.Keywords
This publication has 11 references indexed in Scilit:
- Stable Road Lane Model Based on ClothoidsPublished by Springer Science and Business Media LLC ,2010
- Robust Lane Detection and Tracking in Challenging ScenariosIEEE Transactions on Intelligent Transportation Systems, 2008
- Multiple Cue Data Fusion with Particle Filters for Road Course Detection in Vision SystemsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2006
- Rule-based tracking of multiple lanes using particle filtersPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2006
- Video-Based Lane Estimation and Tracking for Driver Assistance: Survey, System, and EvaluationIEEE Transactions on Intelligent Transportation Systems, 2006
- A multi-model lane detector that handles road singularitiesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2006
- Joint Integrated Probabilistic Data Association - JIPDAPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Tracking Random Sets of Vehicles in TerrainPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Stochastic road shape estimationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Digitale BildverarbeitungPublished by Springer Science and Business Media LLC ,2002