Solid or not solid: vision for radar target validation
- 8 November 2004
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 819-824
- https://doi.org/10.1109/ivs.2004.1336490
Abstract
In the context of combining radar and vision sensors for a fusion application in dense city traffic situations, one of the major challenges is to be able to validate radar targets. We take a high-level fusion approach assuming that both sensor modalities have the capacity to independently locate and identify targets of interest. In this context, radar targets can either correspond to a vision target- in which case the target is validated without further processing- or not. It is the latter case that drives the focus of this paper. A non-matched radar target can correspond to some solid object which is not part of the objects of interest of the vision sensor (such as a guard-rail) or can be caused by reflections in which case it is a ghost target which does not match any physical object in the real world. We describe a number of computational steps for the decision making of non-matched radar targets. The computations combine both direct motion parallax measurements and indirect motion analysis- which are not sufficient for computing parallax but are nevertheless quite effective- and pattern classification steps for covering situations which motion analysis are weak or ineffective. One of the major advantages of our high-level fusion approach is that it allows the use of simpler (low cost) radar technology to create a combined high performance system.Keywords
This publication has 5 references indexed in Scilit:
- Pedestrian detection for driving assistance systems: single-frame classification and system level performancePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Target modeling and dynamic classification for adaptive sensor data fusionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Multi-sensor data fusion using Bayesian programming : an automotive applicationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Obstacle detection using projective invariant and vanishing linesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- A robust method for computing vehicle ego-motionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002