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In this paper a general system for real-time detection and recognition of traffic signals is proposed. The key sensor is a camera installed in a moving vehicle. The software system consists of three main modules: detection, tracking, and sample-based classification. Additional sensor information, such as vehicle data, GPS, and enhanced digital maps, or a… (More)
Most computer vision systems for vehicle guidance developed in the past were designed for the comparatively simple highway scenario. Autonomous driving in the much more complex scenario of urban traffic or driver assistance systems like Intelligent Stop&Go are new challenges not only from the algorithmic but also from the system architecture point of view.… (More)
The consecutive numbering of the publications is determined by their chronological order. The aim of this preprint series is to make new research rapidly available for scientific discussion. Therefore, the responsibility for the contents is solely due to the authors. The publications will be distributed by the authors. Abstract This paper is about the… (More)
J o u r n a l o f P r o b a b i l i t y Electron.
Sparse distributed memory (SDM) is a mathematical technique based on the properties of high-dimensional space for storing and retrieving large binary patterns. This model has been proposed for cerebellar functions, and has been used in simple visual and linguistic applications to date. This paper presents an SDM for robotic applications, especially for… (More)
In the past, Computer Network Defense (CND) intended to be minimally intrusive to the other requirements of IT development, business, and operations. This paper outlines how different security paradigms have failed to become effective defense approaches, and what the root cause of the current situation is. Based on these observations, a different point of… (More)
who supported us in the preparation of this solution manual. Daniel Tillich pointed out quite a few misprints and minor errors.