Solid or not solid: vision for radar target validation
| Autor: | Amnon Shashua, H. Kumon, O. Mano, Yukimasa Tamatsu, Gideon Stein, A. Sole |
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| Rok vydání: | 2004 |
| Předmět: |
Radar tracker
Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Sensor fusion law.invention Inverse synthetic aperture radar Radar engineering details law Radar imaging Structure from motion Computer vision Artificial intelligence Radar business Low probability of intercept radar |
| Zdroj: | IEEE Intelligent Vehicles Symposium, 2004. |
| DOI: | 10.1109/ivs.2004.1336490 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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