As the number of objects in Earth’s atmosphere and in low Earth orbit is continuously increasing; accurate surveillance of these objects has become important. This paper presents a generic, low cost sky surveillance system based on stereovision. Two cameras are placed 37 km apart and synchronized by a GPS-controlled external signal. The intrinsic camera parameters are calibrated before setup in the observation position, the translation vectors

Modeling and tracking the driving environment is a complex problem due to the heterogeneous nature of the real world. In many situations, modeling the obstacles and the driving surfaces can be achieved by the use of geometrical objects, and tracking becomes the problem of estimating the parameters of these objects. In the more complex cases, the scene can be modeled and tracked as an occupancy grid. This paper presents a novel occupancy grid tracking

Accurate and robust lane results are of great significance in any driving assistance system. In order to achieve robustness and accuracy in difficult scenarios, probabilistic estimation techniques are needed to compensate for the errors in detection of lane delimiting features. The paper presents a solution for lane estimation in difficult scenarios based on the particle filtering framework. The solution employs a novel technique for pitch detection