VISTA: Visual Interpretation System for Technical Applications-Architecture and Use
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special Issue on Industrial Machine Vision and Computer Vision Technology:8MPart
From image sequences towards conceptual descriptions
Image and Vision Computing
Toward a Symbolic Representation of Intensity Changes in Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dynamic monocular machine vision
Machine Vision and Applications
Applications of dynamic monocular machine vision
Machine Vision and Applications
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
Model-based object tracking in monocular image sequences of road traffic scenes
International Journal of Computer Vision
Vision-Based Vehicle Guidance
Vision and Navigation: The Carnegie Mellon Navlab
Vision and Navigation: The Carnegie Mellon Navlab
Grundlagen und Anwendungen der Künstlichen Intelligenz, 17. Fachtagung für Künstliche Intelligenz, Humboldt-Universität zu
Image and Vision Computing
Video-Based Driver Assistance—From Basic Functions to Applications
International Journal of Computer Vision
Towards Active Machine-Vision-Based Driver Assistance for Urban Areas
International Journal of Computer Vision
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
Team AnnieWAY's autonomous system
RobVis'08 Proceedings of the 2nd international conference on Robot vision
Model-based tracking of complex innercity road intersections
Mathematical and Computer Modelling: An International Journal
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A digital road map provides partial knowledge about the operating environment for a road vehicle. If a road vehicle is equipped with a video camera, machine vision approaches can provide knowledge about the actual traffic environment around the vehicle. Experiences with a combination of two such approaches during the commissioning of a van for automatic driving on a private road network are reported, including experiences gathered during subsequent driving experiments on public roads and several improvement cycles for hardware and software. Based on these experiences, a second generation vehicle for automatic driving-a sedan-has been designed and commissioned. It is currently evaluated on public roads. This equipment provides an experimental platform for studying driver-vehicle interactions with the option to automatically evaluate actual traffic situations around the vehicle in real-time. Our equipment thus offers an approach to record and disentangle the multitude of factors which influence the-often subconscious-reactions of a driver. It is our working hypothesis that only an automatic, in-depth understanding of the actual traffic situation facilitates the design of a driver support system which is competent and flexible enough to win acceptance by a wide spectrum of users.