Statecharts: A visual formalism for complex systems
Science of Computer Programming
Dynamic monocular machine vision
Machine Vision and Applications
Applications of dynamic monocular machine vision
Machine Vision and Applications
4 D-dynamic scene analysis with integral spatio-temporal models
Proceedings of the 4th international symposium on Robotics Research
Recursive 3-D Road and Relative Ego-State Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Neural network perception for mobile robot guidance
Neural network perception for mobile robot guidance
Autonomous Robots
Pattern recognition by machine
Computers & thought
GPS, a program that simulates human thought
Computers & thought
Vehicles capable of dynamic vision: a new breed of technical beings?
Artificial Intelligence - Special issue: artificial intelligence 40 years later
An Behavior-based Robotics
Digital Picture Processing
Combining EMS-Vision and Horopter Stereo for Obstacle Avoidance of Autonomous Vehicles
ICVS '01 Proceedings of the Second International Workshop on Computer Vision Systems
A Vision System for Autonomous Ground Vehicles with a Wide Range of Maneuvering Capabilities
ICVS '01 Proceedings of the Second International Workshop on Computer Vision Systems
Cognitive vision: The case for embodied perception
Image and Vision Computing
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A synthesis of methods from cybernetics an AI yields a concept of intelligence for autonomous mobile systems that integrates closed-loop visual perception and goal-oriented action cycles using spatiotemporal models. In a layered architecture, systems dynamics methods with differential models prevail on the lower, data-intensive levels, but on higher levels, AI-type methods are used. Knowledge about the world is geared to classes of objects and subjects. Subjects are defined as objects with additional capabilities of sensing, data processing, decision making, and control application. Specialist processes for visual detection and efficient tracking of class members have been developed. On the upper levels, individual instantiations of these class members are analyzed jointly in the task context, yielding the situation for decision making. As an application, vertebrate-type vision for tasks in vehicle guidance in naturally perturbed environments was investigated with a distributed PC system. Experimental results with the test vehicle VAMoRs are discussed.