Saab Automobile AB

About: Saab Automobile AB is a based out in . It is known for research contribution in the topics: Radar & Signal. The organization has 760 authors who have published 890 publications receiving 11811 citations.

AUV seafloor tracking for MCM operations

Abstract: The use of autonomous underwater vehicles has greatly reduced the time it takes to search large areas of seafloor in mine countermeasures operations. Efforts have now turned toward automating the identification of mine-like objects found, which requires the vehicle to navigate very close to the object in question if optical sensors are used. Many altitude-keeping mechanisms only consider the seafloor underneath the vehicle: a danger when altitude is low and the bottom profile changes rapidly. We have developed and tested a prototype sensor for seafloor tracking and obstacle avoidance based on a forward-looking sonar. This sensor tracks the seafloor ahead of the vehicle, with the intent of allowing it to take action earlier and avoid collisions even when navigating at a very low altitude.

Incoherent detection of man-made objects obscured by foliage in forest area

Abstract: The paper introduces a new likelihood ratio test (LRT) for incoherent detection of man-made objects obscured by foliage in forest area. The test is performed to detect changes between a reference image and a surveillance image. The method is developed for change detection in high resolution Synthetic Aperture Radar (SAR). For simplicity and lack of more appropriate models, the new LRT is still based on simple and efficient models. If there is no man-made object, the statistical model for clutter and noise of two images will be a bivariate Rayleigh distribution. In contrary, a joint distribution of Rayleigh and uniform is used to model for target, clutter, and noise. The proposed LRT is evaluated using radar data acquired by CARABAS in northern Sweden. The probability of detection is up to 96% with much less than one false alarm per square kilometer.