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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)
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)
This work proposes a conceptual model of personal space that can be used within symbolic knowledge-based robot architectures. The robot represents personal spaces in terms of affordance spaces attached to humans, i.e., portions of physical space that can be used for interactions. The model does not rely on numeric functions nor does it impose any(More)