A major aim of the joint project Ko-PER is the mitigation of fatal accidents at urban intersections. Therefore several test intersections have been equipped with multiple laser range finders to recognize and track road users. Besides a high traffic density the variety of road users is challenging. In this contribution a multiple-model (MM) probability hypothesis density filter with a track representation extended by class probabilities is proposed. The approach enables tracking of road users with appropriate motion models using a single MM filter. Due to the estimation of the class probabilities an adaption of the transition probabilities between the models is possible. The performance of the road user tracking is evaluated using real world data.
Road user tracking at intersections using a multiple-model PHD filter
2013-06-01
1399568 byte
Conference paper
Electronic Resource
English
ROAD USER TRACKING AT INTERSECTIONS USING A MULTIPLE-MODEL PHD FILTER
British Library Conference Proceedings | 2013
|Intersection-based road user tracking using a classifying multiple-model PHD filter
Online Contents | 2014
|Tracking All Road Users at Multimodal Urban Traffic Intersections
Online Contents | 2016
|