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.

Shape disrupter for net support system

Abstract: A shape disrupter for a net support system may have a conical body and an elliptical shape in plan view. The shape disrupter may have low thermal signature and low weight. The shape disrupter may be stackable. The shape disrupter may have a protrusion on the shape disrupter for fixing each of the shape disrupters in place during stacking. The shape disrupter may have cutouts or openings to reduce the weight and thermal signature of the shape disrupter. The shape disrupter of the present disclosure may cooperate with support poles or nets to provide a support system for large nets or screens.

Using imprecise computation for virtual and constructive simulations

Abstract: In this work, we raise three critical questions that must be investigated to ameliorate composability of virtual simulation models and to enable adoption of systematic and stringent real-time techniques to enable more scalable simulation models for virtual and constructive simulation. The real-time techniques in question enable us to separate between policies and mechanisms and, thus, the simulation engine can decide dynamically how to run the simulation given the existing resources (e.g., processor) and the goals of the simulation (e.g., sufficient fidelity in terms of timing and accuracy). The three critical questions are: (i) how to design efficient and effective algorithms for making dynamic simulation model design decisions during simulation; (ii) how to map simulation entities (e.g., agents) into (real-time) tasks; and (iii) how to enable a divide and conquer approach to validating simulation models.

Hinge,in particular for a vehicle door

Abstract: A hinge (4) for a vehicle door (1) has two hinge halves (5, 6) which are pivotably connected, where the hinge half (6) intended for fixed assembly to the vehicle is separable and has a pin part (8) intended for a hinge pin (7) and a post part (9) intended for a door post (2) The hinge pin (7) has a downwardly directed free end (11) which can be axially introduced into an attachment (12) on the post part (9) The pin part (8) and post part (9) can be joined to or released from each other while the hinge pin (11) is situated in the attachment (12) and holds the vehicle door hung

Curating Datasets for Visual Runway Detection

Abstract: In Machine Learning systems, several factors impact the performance of a trained model. The most important ones include model architecture, the amount of training time, the dataset size and diversity. In the realm of safety-critical machine learning the used datasets need to reflect the environment in which the system is intended to operate, in order to minimize the generalization gap between trained and real-world inputs. Datasets should be thoroughly prepared and requirements on the properties and characteristics of the collected data need to be specified. In our work we present a case study in which generating a synthetic dataset is accomplished based on real-world flight data from the ADS-B system, containing thousands of approaches to several airports to identify real-world statistical distributions of relevant variables to vary within our dataset sampling space. We also investigate what the effects are of training a model on synthetic data to different extents, including training on translated image sets (using domain adaptation). Our results indicate airport location to be the most critical parameter to vary. We also conclude that all experiments did benefit in performance from pre-training on synthetic data rather than using only real data, however this did not hold true in general for domain adaptation-translated images.

Advances in SAR-ISAR blending

Abstract: Radar signature measurements of targets with or without camouflage in different backgrounds using airborne SAR are complex and expensive. Measurements at many orientations as well as illumination angles have to be performed for each target for completeness. A more efficient solution is to use ground based ISAR measurements of the desired targets and then blend these images into measured SAR scenes. A SAR-ISAR blending method where the target and background are modelled by point scatterer representations is described in this paper. The point scatterer representations for the target and the SAR background are determined by solving two separate inverse problems using l 1 and l 2 -minimization methods. The model for the target measured by ISAR is naturally sparse in the image domain and is therefore solved using an l 1 -minimization method while the model for the SAR background image that is not sparse is solved using an l 2 -minimization method. The proposed method is demonstrated and it is determined that it provides an efficient way of evaluating measured ISAR target signatures in measured SAR backgrounds.